From f21b83aba7a8ec822f3247c796e77b9dc8c707dc Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Mon, 6 Jan 2025 13:55:05 -0600 Subject: [PATCH 01/16] Create test.txt --- .project/test.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 .project/test.txt diff --git a/.project/test.txt b/.project/test.txt new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/.project/test.txt @@ -0,0 +1 @@ + From 6c20e93ca2f629f12899083b6be4cea8cf17b050 Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Mon, 6 Jan 2025 13:55:38 -0600 Subject: [PATCH 02/16] Add files via upload --- .project/configpacks (1).txt | 10 +++ .project/spec (2).yaml | 135 +++++++++++++++++++++++++++++++++++ 2 files changed, 145 insertions(+) create mode 100644 .project/configpacks (1).txt create mode 100644 .project/spec (2).yaml diff --git a/.project/configpacks (1).txt b/.project/configpacks (1).txt new file mode 100644 index 0000000..f7247e3 --- /dev/null +++ b/.project/configpacks (1).txt @@ -0,0 +1,10 @@ +*defaults.ContainerUser +*bash.PreBuild +*defaults.EnvVars +*defaults.Readme +*defaults.Entrypoint +*apt.PackageManager +*bash.PreLanguage +*python.PipPackageManager +*bash.PostBuild +*jupyterlab.JupyterLab \ No newline at end of file diff --git a/.project/spec (2).yaml b/.project/spec (2).yaml new file mode 100644 index 0000000..6fd4d18 --- /dev/null +++ b/.project/spec (2).yaml @@ -0,0 +1,135 @@ +specVersion: v2 +specMinorVersion: 2 +meta: + name: ai-research-assistant + image: project-ai-research-assistant + description: "" + labels: [] + createdOn: "2024-12-06T19:19:11Z" + defaultBranch: main +layout: +- path: docs/ + type: code + storage: git +- path: samples/ + type: code + storage: git +- path: services/ + type: code + storage: git +- path: shared/ + type: code + storage: git +- path: tests/ + type: code + storage: git +- path: launchable/ + type: code + storage: git +- path: frontend/ + type: code + storage: git +environment: + base: + registry: nvcr.io + image: nvidia/ai-workbench/python-basic:1.0.2 + build_timestamp: "20241001182612" + name: Python Basic + supported_architectures: [] + cuda_version: "" + description: A Python Base with Jupyterlab + entrypoint_script: "" + labels: + - ubuntu + - python3 + - jupyterlab + apps: + - name: jupyterlab + type: jupyterlab + class: webapp + start_command: jupyter lab --allow-root --port 8888 --ip 0.0.0.0 --no-browser + --NotebookApp.base_url=\$PROXY_PREFIX --NotebookApp.default_url=/lab --NotebookApp.allow_origin='*' + health_check_command: '[ \$(echo url=\$(jupyter lab list | head -n 2 | tail + -n 1 | cut -f1 -d'' '' | grep -v ''Currently'' | sed "s@/?@/lab?@g") | curl + -o /dev/null -s -w ''%{http_code}'' --config -) == ''200'' ]' + stop_command: jupyter lab stop 8888 + user_msg: "" + logfile_path: "" + timeout_seconds: 60 + icon_url: "" + webapp_options: + autolaunch: true + port: "8888" + proxy: + trim_prefix: false + url_command: jupyter lab list | head -n 2 | tail -n 1 | cut -f1 -d' ' | grep + -v 'Currently' + programming_languages: + - python3 + icon_url: https://workbench.download.nvidia.com/static/img/ai-workbench-icon-rectangle.jpg + image_version: 1.0.5 + os: linux + os_distro: ubuntu + os_distro_release: "22.04" + schema_version: v2 + user_info: + uid: "" + gid: "" + username: "" + package_managers: + - name: apt + binary_path: /usr/bin/apt + installed_packages: + - curl + - git + - git-lfs + - python3 + - gcc + - python3-dev + - python3-pip + - vim + - name: pip + binary_path: /usr/bin/pip + installed_packages: + - jupyterlab==4.2.4 + package_manager_environment: + name: "" + target: "" +execution: + apps: + - name: frontend + type: custom + class: webapp + start_command: PROXY_PREFIX=$PROXY_PREFIX python3 -m frontend + health_check_command: curl -f "http://localhost:7860/" + stop_command: pkill -f "^python3 -m frontend" + user_msg: "" + logfile_path: "" + timeout_seconds: 30 + icon_url: "" + webapp_options: + autolaunch: true + port: "7860" + proxy: + trim_prefix: false + url: http://localhost:7860/ + resources: + gpu: + requested: 0 + sharedMemoryMB: 0 + secrets: + - variable: ELEVENLABS_API_KEY + description: "" + - variable: NIM_KEY + description: "" + - variable: SENDER_EMAIL_PASSWORD + description: "" + mounts: + - type: project + target: /project/ + description: Project directory + options: rw + - type: volume + target: /nvwb-shared-volume/ + description: "" + options: volumeName=nvwb-shared-volume From 943831f017523a35b5845aae7643cbe48da76fbd Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Mon, 6 Jan 2025 13:55:55 -0600 Subject: [PATCH 03/16] Delete .project/test.txt --- .project/test.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 .project/test.txt diff --git a/.project/test.txt b/.project/test.txt deleted file mode 100644 index 8b13789..0000000 --- a/.project/test.txt +++ /dev/null @@ -1 +0,0 @@ - From 3f541cd7c255a861bd3ff5f096e5ec8b52a35924 Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Mon, 6 Jan 2025 13:56:06 -0600 Subject: [PATCH 04/16] Rename configpacks (1).txt to configpacks --- .project/{configpacks (1).txt => configpacks} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename .project/{configpacks (1).txt => configpacks} (88%) diff --git a/.project/configpacks (1).txt b/.project/configpacks similarity index 88% rename from .project/configpacks (1).txt rename to .project/configpacks index f7247e3..a021c78 100644 --- a/.project/configpacks (1).txt +++ b/.project/configpacks @@ -7,4 +7,4 @@ *bash.PreLanguage *python.PipPackageManager *bash.PostBuild -*jupyterlab.JupyterLab \ No newline at end of file +*jupyterlab.JupyterLab From 738b7278341655facadfe4855a1bc61ee1b23c24 Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Mon, 6 Jan 2025 13:56:52 -0600 Subject: [PATCH 05/16] Update and rename spec (2).yaml to spec.yaml --- .project/{spec (2).yaml => spec.yaml} | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) rename .project/{spec (2).yaml => spec.yaml} (97%) diff --git a/.project/spec (2).yaml b/.project/spec.yaml similarity index 97% rename from .project/spec (2).yaml rename to .project/spec.yaml index 6fd4d18..ea68d51 100644 --- a/.project/spec (2).yaml +++ b/.project/spec.yaml @@ -1,8 +1,8 @@ specVersion: v2 specMinorVersion: 2 meta: - name: ai-research-assistant - image: project-ai-research-assistant + name: pdf-to-podcast + image: project-pdf-to-podcast description: "" labels: [] createdOn: "2024-12-06T19:19:11Z" From 4f75e980eeb9af8a73f953e103c08660b0543999 Mon Sep 17 00:00:00 2001 From: nv-edwli Date: Mon, 6 Jan 2025 22:30:15 +0000 Subject: [PATCH 06/16] Changed env w/ pip. Project Spec Modified & more... - Added pip packages: ujson, jupyterlab>3.0, gradio==4.43.0 - Removed pip packages: ujson - Deleted secret 'NIM_KEY' - Created secret 'NVIDIA_API_KEY' - Added 29 files - Modified 6 files --- .gitignore | 57 ++- .project/configpacks | 2 +- .project/spec.yaml | 4 +- docker-compose.yaml | 38 +- docs/.gitkeep | 0 frontend/.gitkeep | 0 frontend/__init__.py | 14 + frontend/__main__.py | 215 ++++++++++ frontend/demo_outputs/.gitkeep | 0 frontend/output.log | 0 frontend/shared/setup.py | 29 ++ frontend/shared/shared/__init__.py | 14 + frontend/shared/shared/api_types.py | 120 ++++++ frontend/shared/shared/connection.py | 156 +++++++ frontend/shared/shared/job.py | 126 ++++++ frontend/shared/shared/llmmanager.py | 276 +++++++++++++ frontend/shared/shared/otel.py | 127 ++++++ frontend/shared/shared/pdf_types.py | 41 ++ frontend/shared/shared/podcast_types.py | 60 +++ frontend/shared/shared/prompt_tracker.py | 69 ++++ frontend/shared/shared/prompt_types.py | 29 ++ frontend/shared/shared/storage.py | 324 +++++++++++++++ frontend/static/diagram.png | Bin 0 -> 1071689 bytes frontend/utils/email_demo.py | 500 +++++++++++++++++++++++ frontend/utils/logger.py | 39 ++ launchable/.gitkeep | 0 launchable/PDFtoPodcast.ipynb | 34 +- models.json | 10 +- postBuild.bash | 5 + preBuild.bash | 5 + requirements.txt | 4 +- samples/.gitkeep | 0 services/.gitkeep | 0 shared/.gitkeep | 0 tests/.gitkeep | 0 variables.env | 7 + 36 files changed, 2284 insertions(+), 21 deletions(-) create mode 100644 docs/.gitkeep create mode 100644 frontend/.gitkeep create mode 100644 frontend/__init__.py create mode 100644 frontend/__main__.py create mode 100644 frontend/demo_outputs/.gitkeep create mode 100644 frontend/output.log create mode 100644 frontend/shared/setup.py create mode 100644 frontend/shared/shared/__init__.py create mode 100644 frontend/shared/shared/api_types.py create mode 100644 frontend/shared/shared/connection.py create mode 100644 frontend/shared/shared/job.py create mode 100644 frontend/shared/shared/llmmanager.py create mode 100644 frontend/shared/shared/otel.py create mode 100644 frontend/shared/shared/pdf_types.py create mode 100644 frontend/shared/shared/podcast_types.py create mode 100644 frontend/shared/shared/prompt_tracker.py create mode 100644 frontend/shared/shared/prompt_types.py create mode 100644 frontend/shared/shared/storage.py create mode 100644 frontend/static/diagram.png create mode 100644 frontend/utils/email_demo.py create mode 100644 frontend/utils/logger.py create mode 100644 launchable/.gitkeep create mode 100644 postBuild.bash create mode 100644 preBuild.bash create mode 100644 samples/.gitkeep create mode 100644 services/.gitkeep create mode 100644 shared/.gitkeep create mode 100644 tests/.gitkeep create mode 100644 variables.env diff --git a/.gitignore b/.gitignore index 401453a..9139aa0 100644 --- a/.gitignore +++ b/.gitignore @@ -11,4 +11,59 @@ get_helm.sh .ruff_cache data/minio eval.txt -.DS_Store \ No newline at end of file +.DS_Store + +# Ignore generated or temporary files managed by the Workbench +.project/* +!.project/spec.yaml +!.project/configpacks + +# General ignores + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# Temp directories, notebooks created by jupyterlab +.ipynb_checkpoints +.Trash-*/ +.jupyter/ +.local/ + +# Python distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Workbench Project Layout \ No newline at end of file diff --git a/.project/configpacks b/.project/configpacks index a021c78..f7247e3 100644 --- a/.project/configpacks +++ b/.project/configpacks @@ -7,4 +7,4 @@ *bash.PreLanguage *python.PipPackageManager *bash.PostBuild -*jupyterlab.JupyterLab +*jupyterlab.JupyterLab \ No newline at end of file diff --git a/.project/spec.yaml b/.project/spec.yaml index ea68d51..2f8a435 100644 --- a/.project/spec.yaml +++ b/.project/spec.yaml @@ -120,10 +120,10 @@ execution: secrets: - variable: ELEVENLABS_API_KEY description: "" - - variable: NIM_KEY - description: "" - variable: SENDER_EMAIL_PASSWORD description: "" + - variable: NVIDIA_API_KEY + description: "" mounts: - type: project target: /project/ diff --git a/docker-compose.yaml b/docker-compose.yaml index eef914e..b386bb6 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -1,4 +1,29 @@ services: + local-nim: + image: nvcr.io/nim/meta/llama-3.1-8b-instruct:latest + runtime: nvidia + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: 1 + capabilities: [ gpu ] + ports: + - "8000:8000" + volumes: + - type: bind + source: ~/.cache/nim + target: /opt/nim/.cache/ + environment: + - NIM_MODEL_PROFILE=193649a2eb95e821309d6023a2cabb31489d3b690a9973c7ab5d1ff58b0aa7eb + - NGC_API_KEY=${NVIDIA_API_KEY:?Error NVIDIA_API_KEY not set} + - NVWB_TRIM_PREFIX=true + networks: + - app-network + profiles: + - local + redis: image: redis:latest ports: @@ -6,6 +31,8 @@ services: command: redis-server --appendonly no networks: - app-network + environment: + - NVWB_TRIM_PREFIX=true minio: image: minio/minio:latest @@ -15,8 +42,9 @@ services: environment: - MINIO_ROOT_USER=minioadmin - MINIO_ROOT_PASSWORD=minioadmin + - NVWB_TRIM_PREFIX=true volumes: - - ./data/minio:/data + - minio_data:/data command: minio server /data --console-address ":9001" networks: - app-network @@ -37,6 +65,7 @@ services: - AGENT_SERVICE_URL=http://agent-service:8964 - TTS_SERVICE_URL=http://tts-service:8889 - REDIS_URL=redis://redis:6379 + - NVWB_TRIM_PREFIX=true depends_on: - redis - pdf-service @@ -56,6 +85,7 @@ services: - NVIDIA_API_KEY=${NVIDIA_API_KEY} - REDIS_URL=redis://redis:6379 - MODEL_CONFIG_PATH=/app/config/models.json + - NVWB_TRIM_PREFIX=true volumes: - ./models.json:/app/config/models.json depends_on: @@ -72,6 +102,7 @@ services: environment: - REDIS_URL=redis://redis:6379 - MODEL_API_URL=${MODEL_API_URL:-http://pdf-api:8004} + - NVWB_TRIM_PREFIX=true extra_hosts: - "host.docker.internal:host-gateway" depends_on: @@ -89,6 +120,7 @@ services: - MAX_CONCURRENT_REQUESTS=${MAX_CONCURRENT_REQUESTS} - ELEVENLABS_API_KEY=${ELEVENLABS_API_KEY} - REDIS_URL=redis://redis:6379 + - NVWB_TRIM_PREFIX=true depends_on: - redis networks: @@ -102,6 +134,7 @@ services: - "4318:4318" # OTLP HTTP environment: - COLLECTOR_OTLP_ENABLED=true + - NVWB_TRIM_PREFIX=true healthcheck: test: ["CMD", "wget", "--spider", "localhost:16686"] interval: 5s @@ -122,6 +155,7 @@ services: - REDIS_HOST=redis - REDIS_PORT=6379 - TEMP_FILE_DIR=/tmp/pdf_conversions + - NVWB_TRIM_PREFIX=true volumes: - pdf_temp:/tmp/pdf_conversions depends_on: @@ -139,6 +173,7 @@ services: - CELERY_BROKER_URL=redis://redis:6379/0 - CELERY_RESULT_BACKEND=redis://redis:6379/0 - TEMP_FILE_DIR=/tmp/pdf_conversions + - NVWB_TRIM_PREFIX=true volumes: - pdf_temp:/tmp/pdf_conversions depends_on: @@ -150,6 +185,7 @@ services: volumes: redis_data: pdf_temp: + minio_data: networks: app-network: diff --git a/docs/.gitkeep b/docs/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/frontend/.gitkeep b/frontend/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/frontend/__init__.py b/frontend/__init__.py new file mode 100644 index 0000000..d50bcc4 --- /dev/null +++ b/frontend/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. \ No newline at end of file diff --git a/frontend/__main__.py b/frontend/__main__.py new file mode 100644 index 0000000..6da26a5 --- /dev/null +++ b/frontend/__main__.py @@ -0,0 +1,215 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import gradio as gr +import requests +import tempfile +import os +import base64 +import json +import sys +import ast + +import uuid +from frontend.utils import email_demo, logger + +BP_INFO_MARKDOWN=""" +### Key Features + +PDF to Markdown Service + + * Extracts content from PDFs and converts it into markdown format for further processing. + +Monologue or Dialogue Creation Service + +* AI processes markdown content, enriching or structuring it to create natural and engaging audio content. + +Text-to-Speech (TTS) Service + +* Converts the processed content into high-quality speech. + +""" + +CONFIG_INSTRUCTIONS_MARKDOWN=""" +Use this editor to configure your long-reasoning agent. + +**Note:** The default configuration is for a **locally** running ``llama-3.1-8b-instruct`` NIM. + +Example: Using build.nvidia.com endpoints + +``` +{ + "reasoning": { + "name": "meta/llama-3.1-70b-instruct", + "api_base": "https://integrate.api.nvidia.com/v1" + }, + ... +} +``` + +""" + +css = """ +#editor-title { + margin: auto; + width: 100%; + text-align: center; +} +""" + +_CONFIG_CHANGES_JS = """ +async() => { + title = document.querySelector("div#config-toolbar p"); + if (! title.innerHTML.endsWith("🟠")) { title.innerHTML = title.innerHTML.slice(0,-2) + "🟠"; }; +} +""" +_SAVE_CHANGES_JS = """ +async() => { + title = document.querySelector("div#config-toolbar p"); + if (! title.innerHTML.endsWith("🟢")) { title.innerHTML = title.innerHTML.slice(0,-2) + "🟢"; }; +} +""" +_SAVE_IMG = "https://media.githubusercontent.com/media/NVIDIA/nim-anywhere/main/code/frontend/_static/images/floppy.png" +_UNDO_IMG = "https://media.githubusercontent.com/media/NVIDIA/nim-anywhere/main/code/frontend/_static/images/undo.png" +_HISTORY_IMG = "https://media.githubusercontent.com/media/NVIDIA/nim-anywhere/main/code/frontend/_static/images/history.png" +_PSEUDO_FILE_NAME = "models.json 🟢" +with open("/project/models.json", "r", encoding="UTF-8") as config_file: + _STARTING_CONFIG = config_file.read() + +sys.stdout = logger.Logger("/project/frontend/output.log") + +# Gradio Interface +with gr.Blocks(css=css) as demo: + gr.Markdown("# NVIDIA AI Blueprint: PDF-to-Podcast") + + with gr.Row(): + with gr.Column(scale=1): + + with gr.Tab("Architecture Diagram"): + gr.Markdown(BP_INFO_MARKDOWN) + gr.Image(value="frontend/static/diagram.png") + + with gr.Tab("Agent Configurations"): + gr.Markdown(CONFIG_INSTRUCTIONS_MARKDOWN) + with gr.Row(elem_id="config-row"): + with gr.Column(): + with gr.Group(elem_id="config-wrapper"): + with gr.Row(elem_id="config-toolbar", elem_classes=["toolbar"]): + file_title = gr.Markdown(_PSEUDO_FILE_NAME, elem_id="editor-title") + save_btn = gr.Button("", icon=_SAVE_IMG, elem_classes=["toolbar"]) + undo_btn = gr.Button("", icon=_UNDO_IMG, elem_classes=["toolbar"]) + reset_btn = gr.Button("", icon=_HISTORY_IMG, elem_classes=["toolbar"]) + with gr.Row(elem_id="config-row-box"): + editor = gr.Code( + elem_id="config-editor", + interactive=True, + language="json", + show_label=False, + container=False, + ) + + with gr.Tab("Full End to End Flow"): + gr.Markdown("### Upload at least one PDF file for a file to target or as context. ") + with gr.Row(): + target_files = gr.File(label="Upload target PDF", file_types=[".pdf"]) + context_files = gr.File(label="Upload context PDF", file_types=[".pdf"]) + with gr.Accordion("Optional: Email Details", open=False): + gr.Markdown("Enter optional email details here to receive your generated podcast in your inbox!") + sender_email = gr.Textbox(label="Sender Email", + placeholder="Configure SENDER_EMAIL_PASSWORD as an AI Workbench secret!") + recipient_email = gr.Textbox(label="Recipient email", placeholder="Enter email here") + with gr.Row(): + settings = gr.CheckboxGroup( + ["Monologue Only"], label="Additional Settings", info="Customize your podcast here" + ) + generate_button = gr.Button("Generate Podcast") + + with gr.Column(scale=1): + gr.Markdown("
") + output = gr.Textbox(label="Outputs", placeholder="Outputs will show here when executing", max_lines=20, lines=20) + output_file = gr.File(visible=False, interactive=False) + + demo.load(logger.read_logs, None, output, every=1) + + def read_chain_config() -> str: + """Read the chain config file.""" + with open("/project/models.json", "r", encoding="UTF-8") as cf: + return cf.read() + + demo.load(read_chain_config, outputs=editor) + + undo_btn.click(read_chain_config, outputs=editor) + undo_btn.click(None, js=_SAVE_CHANGES_JS) + + @reset_btn.click(outputs=editor) + def reset_demo() -> str: + """Reset the configuration to the starting config.""" + return _STARTING_CONFIG + + @save_btn.click(inputs=editor) + def save_chain_config(config_txt: str) -> None: + """Save the user's config file.""" + # validate json + try: + config_data = json.loads(config_txt) + except Exception as err: + raise SyntaxError(f"Error validating JSON syntax:\n{err}") from err + + # validate configuration + # try: + # _ = ChainConfiguration.model_validate(config_data) + # except Exception as err: + # raise SyntaxError(f"Error validating configuration content:\n{err}") from err + + # save configuration + with open("/project/models.json", "w", encoding="UTF-8") as cf: + cf.write(config_txt) + + save_btn.click(None, js=_SAVE_CHANGES_JS) + + # %% editor actions + editor.input(None, js=_CONFIG_CHANGES_JS) + + def generate_podcast(target, context, sender, recipient, settings): + if isinstance(target, str): + target = [target] + if isinstance(context, str): + context = [context] + + base_url = os.environ["API_SERVICE_URL"] + monologue = True if "Monologue Only" in settings else False + vdb = False # True if "Vector Database" in settings else False + filename = str(uuid.uuid4()) + email = [recipient] if (len(recipient) > 0 and "SENDER_EMAIL_PASSWORD" in os.environ) else [filename + "@"] # delimiter + + # Generate podcast + email_demo.test_api(base_url, target, context, email, monologue, vdb) + + # Send file via email + if len(recipient) > 0 and "SENDER_EMAIL_PASSWORD" in os.environ: + email_demo.send_file_via_email("/project/frontend/demo_outputs/" + recipient.split('@')[0] + "-output.mp3", sender, recipient) + return gr.update(value="/project/frontend/demo_outputs/" + recipient.split('@')[0] + "-output.mp3", visible=True) + + return gr.update(value="/project/frontend/demo_outputs/" + filename + "-output.mp3", visible=True) + + generate_button.click(generate_podcast, [target_files, + context_files, + sender_email, + recipient_email, + settings], [output_file]) + +# Launch Gradio app +if __name__ == "__main__": + demo.launch(server_name="0.0.0.0", root_path=os.environ.get("PROXY_PREFIX")) diff --git a/frontend/demo_outputs/.gitkeep b/frontend/demo_outputs/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/frontend/output.log b/frontend/output.log new file mode 100644 index 0000000..e69de29 diff --git a/frontend/shared/setup.py b/frontend/shared/setup.py new file mode 100644 index 0000000..81b05e6 --- /dev/null +++ b/frontend/shared/setup.py @@ -0,0 +1,29 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from setuptools import setup, find_packages + +setup( + name="shared", + version="0.1", + packages=find_packages(), + install_requires=[ + "redis", + "pydantic", + "httpx", + "requests", + "langchain-nvidia-ai-endpoints", + ], +) diff --git a/frontend/shared/shared/__init__.py b/frontend/shared/shared/__init__.py new file mode 100644 index 0000000..d50bcc4 --- /dev/null +++ b/frontend/shared/shared/__init__.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. \ No newline at end of file diff --git a/frontend/shared/shared/api_types.py b/frontend/shared/shared/api_types.py new file mode 100644 index 0000000..f0471c2 --- /dev/null +++ b/frontend/shared/shared/api_types.py @@ -0,0 +1,120 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pydantic import BaseModel, Field, model_validator +from typing import Optional, Dict, List +from .pdf_types import PDFMetadata +from enum import Enum + + +class JobStatus(str, Enum): + PENDING = "pending" + PROCESSING = "processing" + COMPLETED = "completed" + FAILED = "failed" + + +class ServiceType(str, Enum): + PDF = "pdf" + AGENT = "agent" + TTS = "tts" + + +class StatusUpdate(BaseModel): + job_id: str + status: JobStatus + message: Optional[str] = None + service: Optional[ServiceType] = None + timestamp: Optional[float] = None + data: Optional[dict] = None + + +class StatusResponse(BaseModel): + status: str + result: Optional[str] = None + error: Optional[str] = None + message: Optional[str] = None + + +class TranscriptionParams(BaseModel): + userId: str = Field(..., description="KAS User ID") + name: str = Field(..., description="Name of the podcast") + duration: int = Field(..., description="Duration in minutes") + monologue: bool = Field( + False, description="If True, creates a single-speaker podcast" + ) + speaker_1_name: str = Field( + ..., description="Name of the speaker (or first speaker if not monologue)" + ) + speaker_2_name: Optional[str] = Field( + None, description="Name of the second speaker (not required for monologue)" + ) + voice_mapping: Dict[str, str] = Field( + ..., + description="Mapping of speaker IDs to voice IDs. For monologue, only speaker-1 is required", + example={ + "speaker-1": "iP95p4xoKVk53GoZ742B", + "speaker-2": "9BWtsMINqrJLrRacOk9x", + }, + ) + guide: Optional[str] = Field( + None, description="Optional guidance for the transcription focus and structure" + ) + vdb_task: bool = Field( + False, + description="If True, creates a VDB task when running NV-Ingest allowing for retrieval abilities", + ) + + @model_validator(mode="after") + def validate_monologue_settings(self) -> "TranscriptionParams": + if self.monologue: + # Check speaker_2_name is not provided + if self.speaker_2_name is not None: + raise ValueError( + "speaker_2_name should not be provided for monologue podcasts" + ) + + # Check voice_mapping only contains speaker-1 + if "speaker-2" in self.voice_mapping: + raise ValueError( + "voice_mapping should only contain speaker-1 for monologue podcasts" + ) + + # Check that speaker-1 is present in voice_mapping + if "speaker-1" not in self.voice_mapping: + raise ValueError("voice_mapping must contain speaker-1") + else: + # For dialogues, ensure both speakers are present + if not self.speaker_2_name: + raise ValueError("speaker_2_name is required for dialogue podcasts") + + required_speakers = {"speaker-1", "speaker-2"} + if not all(speaker in self.voice_mapping for speaker in required_speakers): + raise ValueError( + "voice_mapping must contain both speaker-1 and speaker-2 for dialogue podcasts" + ) + + return self + + +class TranscriptionRequest(TranscriptionParams): + pdf_metadata: List[PDFMetadata] + job_id: str + + +class RAGRequest(BaseModel): + query: str = Field(..., description="The search query to process") + k: int = Field(..., description="Number of results to retrieve", ge=1) + job_id: str = Field(..., description="The unique job identifier") diff --git a/frontend/shared/shared/connection.py b/frontend/shared/shared/connection.py new file mode 100644 index 0000000..9168b52 --- /dev/null +++ b/frontend/shared/shared/connection.py @@ -0,0 +1,156 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from fastapi import WebSocket, WebSocketDisconnect +from typing import Dict, Set +import redis +import ujson as json +import logging +import time +import asyncio +from collections import defaultdict +from threading import Thread +import queue + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +class ConnectionManager: + def __init__(self, redis_client: redis.Redis): + self.active_connections: Dict[str, Set[WebSocket]] = defaultdict(set) + self.pubsub = None + self.message_queue = queue.Queue() + self.redis_thread = None + self.should_stop = False + self.redis_client = redis_client + + async def connect(self, websocket: WebSocket, job_id: str): + await websocket.accept() + self.active_connections[job_id].add(websocket) + logger.info( + f"New WebSocket connection for job {job_id}. Total connections: {len(self.active_connections[job_id])}" + ) + + # Start Redis listener if not already running + if self.redis_thread is None: + self.redis_thread = Thread(target=self._redis_listener) + self.redis_thread.daemon = True + self.redis_thread.start() + # Start the async message processor + asyncio.create_task(self._process_messages()) + + def disconnect(self, websocket: WebSocket, job_id: str): + if job_id in self.active_connections: + self.active_connections[job_id].remove(websocket) + if not self.active_connections[job_id]: + del self.active_connections[job_id] + logger.info( + f"WebSocket disconnected for job {job_id}. Remaining connections: {len(self.active_connections[job_id]) if job_id in self.active_connections else 0}" + ) + + def _redis_listener(self): + """Redis subscription running in a separate thread""" + try: + self.pubsub = self.redis_client.pubsub(ignore_subscribe_messages=True) + self.pubsub.subscribe("status_updates:all") + logger.info("Successfully subscribed to Redis status_updates:all channel") + + while not self.should_stop: + message = self.pubsub.get_message() + if message and message["type"] == "message" and "data" in message: + data = message["data"].decode("utf-8") + try: + job_update = json.loads(data) + logger.info( + f"Received message for job {job_update.get('job_id')}" + ) + except json.JSONDecodeError: + logger.error("Invalid JSON in Redis message") + # Put message in queue for processing regardless of logging logic error + finally: + self.message_queue.put(data) + time.sleep(0.01) # Prevent tight loop + + except Exception as e: + logger.error(f"Redis subscription error: {e}") + finally: + if self.pubsub: + self.pubsub.unsubscribe() + self.pubsub.close() + + async def _process_messages(self): + """Async task to process messages from the queue and broadcast them""" + while True: + try: + # Check queue in a non-blocking way + while not self.message_queue.empty(): + message: str = self.message_queue.get_nowait() + try: + update = json.loads(message) + job_id = update.get("job_id") + logger.info(f"Processing message for job {job_id}") + + if job_id and job_id in self.active_connections: + logger.info( + f"Broadcasting update for job {job_id} to {len(self.active_connections[job_id])} connections" + ) + await self.broadcast_to_job( + job_id, + { + "service": update.get("service"), + "status": update.get("status"), + "message": update.get("message", ""), + }, + ) + logger.info( + f"Broadcasted update for job {job_id}: {update.get('service')} - {update.get('status')}" + ) + except json.JSONDecodeError: + logger.error(f"Invalid JSON in Redis message: {message}") + except Exception as e: + logger.error(f"Error processing Redis message: {e}") + + # Small delay before next check + await asyncio.sleep(0.01) + + except Exception as e: + logger.error(f"Message processing error: {e}") + await asyncio.sleep(1) + + async def broadcast_to_job(self, job_id: str, message: dict): + """Send message to all WebSocket connections for a job""" + if job_id in self.active_connections: + disconnected = set() + for connection in self.active_connections[job_id]: + try: + await connection.send_json(message) + except WebSocketDisconnect: + disconnected.add(connection) + except Exception as e: + logger.error(f"Error sending message to WebSocket: {e}") + disconnected.add(connection) + + # Clean up disconnected clients + for connection in disconnected: + self.disconnect(connection, job_id) + + def cleanup(self): + """Cleanup resources""" + self.should_stop = True + if self.redis_thread: + self.redis_thread.join(timeout=1.0) + if self.pubsub: + self.pubsub.close() diff --git a/frontend/shared/shared/job.py b/frontend/shared/shared/job.py new file mode 100644 index 0000000..f4a3ac1 --- /dev/null +++ b/frontend/shared/shared/job.py @@ -0,0 +1,126 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from shared.api_types import ServiceType +from shared.otel import OpenTelemetryInstrumentation +import redis +import time +import ujson as json +import threading + + +class JobStatusManager: + def __init__( + self, + service_type: ServiceType, + telemetry: OpenTelemetryInstrumentation, + redis_url="redis://redis:6379", + ): + self.telemetry = telemetry + self.redis = redis.Redis.from_url(redis_url, decode_responses=False) + self.service_type = service_type + self._lock = threading.Lock() + + def create_job(self, job_id: str): + with self.telemetry.tracer.start_as_current_span("job.create_job") as span: + span.set_attribute("job_id", job_id) + update = { + "job_id": job_id, + "status": "pending", + "message": "Job created", + "service": self.service_type, + "timestamp": time.time(), + } + # Encode the update dict as JSON bytes + hset_key = f"status:{job_id}:{str(self.service_type)}" + span.set_attribute("hset_key", hset_key) + self.redis.hset( + hset_key, + mapping={k: str(v).encode() for k, v in update.items()}, + ) + self.redis.publish("status_updates:all", json.dumps(update).encode()) + + def update_status(self, job_id: str, status: str, message: str): + with self.telemetry.tracer.start_as_current_span("job.update_status") as span: + span.set_attribute("job_id", job_id) + update = { + "job_id": job_id, + "status": status, + "message": message, + "service": self.service_type, + "timestamp": time.time(), + } + # Encode the update dict as JSON bytes + hset_key = f"status:{job_id}:{str(self.service_type)}" + span.set_attribute("hset_key", hset_key) + self.redis.hset( + hset_key, + mapping={k: str(v).encode() for k, v in update.items()}, + ) + self.redis.publish("status_updates:all", json.dumps(update).encode()) + + def set_result(self, job_id: str, result: bytes): + with self.telemetry.tracer.start_as_current_span("job.set_result") as span: + span.set_attribute("job_id", job_id) + set_key = f"result:{job_id}:{str(self.service_type)}" + span.set_attribute("set_key", set_key) + self.redis.set(set_key, result) + + def set_result_with_expiration(self, job_id: str, result: bytes, ex: int): + with self.telemetry.tracer.start_as_current_span( + "job.set_result_with_expiration" + ) as span: + span.set_attribute("job_id", job_id) + set_key = f"result:{job_id}:{str(self.service_type)}" + span.set_attribute("set_key", set_key) + self.redis.set(set_key, result, ex=ex) + + def get_result(self, job_id: str): + with self.telemetry.tracer.start_as_current_span("job.get_result") as span: + span.set_attribute("job_id", job_id) + get_key = f"result:{job_id}:{str(self.service_type)}" + span.set_attribute("get_key", get_key) + result = self.redis.get(get_key) + return result if result else None + + def get_status(self, job_id: str): + with self.telemetry.tracer.start_as_current_span("job.get_status") as span: + span.set_attribute("job_id", job_id) + # Get raw bytes and decode manually + hget_key = f"status:{job_id}:{str(self.service_type)}" + span.set_attribute("hget_key", hget_key) + status = self.redis.hgetall(hget_key) + if not status: + raise ValueError("Job not found") + # Decode bytes to strings for each field + return {k.decode(): v.decode() for k, v in status.items()} + + def cleanup_old_jobs(self, max_age=3600): + current_time = time.time() + removed = 0 + pattern = f"status:*:{str(self.service_type)}" + for key in self.redis.scan_iter(match=pattern): + status = self.redis.hgetall(key) + try: + timestamp = float(status[b"timestamp"].decode()) + if timestamp < current_time - max_age: + self.redis.delete(key) + job_id = key.split(b":")[1].decode() + self.redis.delete(f"result:{job_id}:{self.service_type}") + removed += 1 + except (KeyError, ValueError): + # Handle malformed status entries + continue + return removed diff --git a/frontend/shared/shared/llmmanager.py b/frontend/shared/shared/llmmanager.py new file mode 100644 index 0000000..24c5ba9 --- /dev/null +++ b/frontend/shared/shared/llmmanager.py @@ -0,0 +1,276 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from langchain_nvidia_ai_endpoints import ChatNVIDIA +from typing import List, Dict, Any, Optional, Union +import logging +import ujson as json +from shared.otel import OpenTelemetryInstrumentation +from opentelemetry.trace.status import StatusCode +from pathlib import Path +from dataclasses import dataclass +from langchain_core.messages import AIMessage + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +@dataclass +class ModelConfig: + name: str + api_base: str + + @classmethod + def from_dict(cls, data: Dict[str, Any]) -> "ModelConfig": + return cls( + name=data["name"], + api_base=data["api_base"], + ) + + +class LLMManager: + """ + A lightweight and user friendly wrapper over Langchain's ChatNVIDIA class. We use this class + to abstract away all Langchain functionalities including models, async/sync queries, + structured outputs, types, streaming and more. It also comes with OTEL telemetry out of the box + for all queries. It is specifically tailored for singular invocations. + + Configs can be overridden by providing a custom config file. Currently the defaults are + hardcoded to build.nvidia.com endpoints. + + Usage: + >>> llm_manager = LLMManager(api_key, telemetry) + >>> llm_manager.query_sync("reasoning", [{"role": "user", "content": "Hello, world!"}], "test") + """ + + DEFAULT_CONFIGS = { + "reasoning": { + "name": "meta/llama-3.1-405b-instruct", + "api_base": "https://integrate.api.nvidia.com/v1", + }, + "iteration": { + "name": "meta/llama-3.1-405b-instruct", + "api_base": "https://integrate.api.nvidia.com/v1", + }, + "json": { + "name": "meta/llama-3.1-70b-instruct", + "api_base": "https://integrate.api.nvidia.com/v1", + }, + } + + def __init__( + self, + api_key: str, + telemetry: OpenTelemetryInstrumentation, + config_path: Optional[str] = None, + ): + """ + Initialize LLMManager with telemetry + requires: OpenTelemetryInstrumentation instance for tracing + """ + try: + self.api_key = api_key + self.telemetry = telemetry + self._llm_cache: Dict[str, ChatNVIDIA] = {} + self.model_configs = self._load_configurations(config_path) + logger.info("Successfully initialized LLMManager") + except Exception as e: + logger.error(f"Failed to initialize LLMManager: {e}") + raise + + def _load_configurations( + self, config_path: Optional[str] + ) -> Dict[str, ModelConfig]: + """Load model configurations from JSON file if provided, otherwise use defaults""" + configs = self.DEFAULT_CONFIGS.copy() + if config_path: + try: + config_path = Path(config_path) + if config_path.exists(): + with config_path.open() as f: + custom_configs = json.load(f) + configs.update(custom_configs) + else: + logger.warning( + f"Config file {config_path} not found, using default configurations" + ) + except Exception as e: + logger.error(f"Error loading config file: {e}") + logger.warning("Using default configurations") + return {key: ModelConfig.from_dict(config) for key, config in configs.items()} + + def get_llm(self, model_key: str) -> ChatNVIDIA: + """Get or create a ChatNVIDIA model for the specified model key""" + if model_key not in self.model_configs: + raise ValueError(f"Unknown model key: {model_key}") + if model_key not in self._llm_cache: + config = self.model_configs[model_key] + self._llm_cache[model_key] = ChatNVIDIA( + model=config.name, + base_url=config.api_base, + nvidia_api_key=self.api_key, + max_tokens=None, + ) + return self._llm_cache[model_key] + + def query_sync( + self, + model_key: str, + messages: List[Dict[str, str]], + query_name: str, + json_schema: Optional[Dict] = None, + retries: int = 5, + ) -> Union[AIMessage, Dict[str, Any]]: + """Send a synchronous query to the specified model""" + with self.telemetry.tracer.start_as_current_span( + f"agent.query.{query_name}" + ) as span: + span.set_attribute("model_key", model_key) + span.set_attribute("retries", retries) + span.set_attribute("async", False) + + try: + llm = self.get_llm(model_key) + if json_schema: + llm = llm.with_structured_output(json_schema) + llm = llm.with_retry( + stop_after_attempt=retries, wait_exponential_jitter=True + ) + resp = llm.invoke(messages) + return resp + except Exception as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error(f"Query failed: {e}") + raise Exception( + f"Failed to get response after {retries} attempts" + ) from e + + async def query_async( + self, + model_key: str, + messages: List[Dict[str, str]], + query_name: str, + json_schema: Optional[Dict] = None, + retries: int = 5, + ) -> Union[AIMessage, Dict[str, Any]]: + """Send an asynchronous query to the specified model""" + with self.telemetry.tracer.start_as_current_span( + f"agent.query.{query_name}" + ) as span: + span.set_attribute("model_key", model_key) + span.set_attribute("retries", retries) + span.set_attribute("async", True) + + try: + llm = self.get_llm(model_key) + if json_schema: + llm = llm.with_structured_output(json_schema) + llm = llm.with_retry( + stop_after_attempt=retries, wait_exponential_jitter=True + ) + resp = await llm.ainvoke(messages) + return resp + except Exception as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error(f"Query failed: {e}") + raise Exception( + f"Failed to get response after {retries} attempts" + ) from e + + def stream_sync( + self, + model_key: str, + messages: List[Dict[str, str]], + query_name: str, + json_schema: Optional[Dict] = None, + retries: int = 5, + ) -> Union[str, Dict[str, Any]]: + """Send a synchronous streaming query to the specified model""" + with self.telemetry.tracer.start_as_current_span( + f"agent.stream.{query_name}" + ) as span: + span.set_attribute("model_key", model_key) + span.set_attribute("retries", retries) + span.set_attribute("async", False) + + try: + llm = self.get_llm(model_key) + if json_schema: + llm = llm.with_structured_output(json_schema) + llm = llm.with_retry( + stop_after_attempt=retries, wait_exponential_jitter=True + ) + + last_chunk = None + for chunk in llm.stream(messages): + # AIMessage returns content and JSON returns the dict itself + if hasattr(chunk, "content"): + last_chunk = chunk.content + else: + last_chunk = chunk + + return last_chunk + + except Exception as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error(f"Streaming query failed: {e}") + raise Exception( + f"Failed to get streaming response after {retries} attempts" + ) from e + + async def stream_async( + self, + model_key: str, + messages: List[Dict[str, str]], + query_name: str, + json_schema: Optional[Dict] = None, + retries: int = 5, + ) -> Union[str, Dict[str, Any]]: + """Send an asynchronous streaming query to the specified model""" + with self.telemetry.tracer.start_as_current_span( + f"agent.stream.{query_name}" + ) as span: + span.set_attribute("model_key", model_key) + span.set_attribute("retries", retries) + span.set_attribute("async", True) + + try: + llm = self.get_llm(model_key) + if json_schema: + llm = llm.with_structured_output(json_schema) + llm = llm.with_retry( + stop_after_attempt=retries, wait_exponential_jitter=True + ) + + last_chunk = None + async for chunk in llm.astream(messages): + # AIMessage returns content and JSON returns the dict itself + if hasattr(chunk, "content"): + last_chunk = chunk.content + else: + last_chunk = chunk + + return last_chunk + + except Exception as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error(f"Async streaming query failed: {e}") + raise Exception( + f"Failed to get streaming response after {retries} attempts" + ) from e diff --git a/frontend/shared/shared/otel.py b/frontend/shared/shared/otel.py new file mode 100644 index 0000000..c92b496 --- /dev/null +++ b/frontend/shared/shared/otel.py @@ -0,0 +1,127 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from dataclasses import dataclass +from typing import Optional +import logging +import os + +from opentelemetry import trace +from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter +from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor +from opentelemetry.instrumentation.redis import RedisInstrumentor +from opentelemetry.instrumentation.requests import RequestsInstrumentor +from opentelemetry.instrumentation.httpx import HTTPXClientInstrumentor +from opentelemetry.instrumentation.urllib3 import URLLib3Instrumentor +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import BatchSpanProcessor + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +@dataclass +class OpenTelemetryConfig: + """Configuration for OpenTelemetry setup.""" + + service_name: str + otlp_endpoint: str = "http://jaeger:4317" + enable_redis: bool = True + enable_requests: bool = True + enable_httpx: bool = True + enable_urllib3: bool = True + + +class OpenTelemetryInstrumentation: + """ + Lightweight OTEL wrapper + + Example usage: + telemetry = OpenTelemetryInstrumentation() + app = FastAPI() + telemetry.initialize(app, "api-service") + + # In code + with telemetry.tracer.start_as_current_span("operation_name") as span: + span.set_attribute("key", "value") + """ + + def __init__(self): + self._tracer: Optional[trace.Tracer] = None + self._config: Optional[OpenTelemetryConfig] = None + + @property + def tracer(self) -> trace.Tracer: + """Get the configured tracer instance.""" + if not self._tracer: + raise RuntimeError( + "OpenTelemetry has not been initialized. Call initialize() first." + ) + return self._tracer + + def initialize( + self, config: OpenTelemetryConfig, app=None + ) -> "OpenTelemetryInstrumentation": + """ + Initialize OpenTelemetry instrumentation with the given configuration. + + Args: + app: The FastAPI application instance + config: OpenTelemetryConfig instance containing configuration options + + Returns: + self for method chaining + """ + self._config = config + logger.info(f"Setting up tracing for service: {self._config.service_name}") + logger.info(f"Container ID: {os.uname().nodename}") + self._setup_tracing() + self._instrument_app(app) + return self + + def _setup_tracing(self) -> None: + """Set up the OpenTelemetry tracer provider and processors.""" + resource = Resource.create({"service.name": self._config.service_name}) + + provider = TracerProvider(resource=resource) + processor = BatchSpanProcessor( + OTLPSpanExporter(endpoint=self._config.otlp_endpoint) + ) + + provider.add_span_processor(processor) + trace.set_tracer_provider(provider) + + self._tracer = trace.get_tracer(self._config.service_name) + + def _instrument_app(self, app=None) -> None: + """Instrument the FastAPI application and optional components.""" + # Instrument FastAPI + if app: + FastAPIInstrumentor.instrument_app(app) + + # Instrument Redis if enabled + if self._config.enable_redis: + RedisInstrumentor().instrument() + + # Instrument requests library if enabled + if self._config.enable_requests: + RequestsInstrumentor().instrument() + + if self._config.enable_httpx: + HTTPXClientInstrumentor().instrument() + + if self._config.enable_urllib3: + URLLib3Instrumentor().instrument() diff --git a/frontend/shared/shared/pdf_types.py b/frontend/shared/shared/pdf_types.py new file mode 100644 index 0000000..6b5b621 --- /dev/null +++ b/frontend/shared/shared/pdf_types.py @@ -0,0 +1,41 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pydantic import BaseModel, Field +from typing import Optional, Union, Literal +from datetime import datetime +from enum import Enum + + +class ConversionStatus(str, Enum): + SUCCESS = "success" + FAILED = "failed" + + +class PDFConversionResult(BaseModel): + filename: str + content: str = "" + status: ConversionStatus + error: Optional[str] = None + + +class PDFMetadata(BaseModel): + filename: str + markdown: str = "" + summary: str = "" + status: ConversionStatus + type: Union[Literal["target"], Literal["context"]] + error: Optional[str] = None + created_at: datetime = Field(default_factory=datetime.utcnow) diff --git a/frontend/shared/shared/podcast_types.py b/frontend/shared/shared/podcast_types.py new file mode 100644 index 0000000..95b4610 --- /dev/null +++ b/frontend/shared/shared/podcast_types.py @@ -0,0 +1,60 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pydantic import BaseModel +from typing import Optional, Dict, Literal, List + + +class SavedPodcast(BaseModel): + job_id: str + filename: str + created_at: str + size: int + transcription_params: Optional[Dict] = {} + + +class SavedPodcastWithAudio(SavedPodcast): + audio_data: str + + +class DialogueEntry(BaseModel): + text: str + speaker: Literal["speaker-1", "speaker-2"] + + +class Conversation(BaseModel): + scratchpad: str + dialogue: List[DialogueEntry] + + +class SegmentPoint(BaseModel): + description: str + + +class SegmentTopic(BaseModel): + title: str + points: List[SegmentPoint] + + +class PodcastSegment(BaseModel): + section: str + topics: List[SegmentTopic] + duration: int + references: List[str] + + +class PodcastOutline(BaseModel): + title: str + segments: List[PodcastSegment] diff --git a/frontend/shared/shared/prompt_tracker.py b/frontend/shared/shared/prompt_tracker.py new file mode 100644 index 0000000..5a8f655 --- /dev/null +++ b/frontend/shared/shared/prompt_tracker.py @@ -0,0 +1,69 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import Dict +import time +import logging +from .storage import StorageManager +from .prompt_types import ProcessingStep, PromptTracker as PromptTrackerModel + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +class PromptTracker: + """Track prompts and responses and save them to storage""" + + def __init__(self, job_id: str, user_id: str, storage_manager: StorageManager): + self.job_id = job_id + self.user_id = user_id + self.steps: Dict[str, ProcessingStep] = {} + self.storage_manager = storage_manager + + def track(self, step_name: str, prompt: str, model: str, response: str = None): + """Track a processing step""" + self.steps[step_name] = ProcessingStep( + step_name=step_name, + prompt=prompt, + response=response if response else "", + model=model, + timestamp=time.time(), + ) + if response: + self._save() + logger.info(f"Tracked step {step_name} for {self.job_id}") + + def update_result(self, step_name: str, response: str): + """Update the response for an existing step""" + if step_name in self.steps: + self.steps[step_name].response = response + self._save() + logger.info(f"Updated response for step {step_name}") + else: + logger.warning(f"Step {step_name} not found in prompt tracker") + + def _save(self): + """Save the current state to storage""" + tracker = PromptTrackerModel(steps=list(self.steps.values())) + self.storage_manager.store_file( + self.user_id, + self.job_id, + tracker.model_dump_json().encode(), + f"{self.job_id}_prompt_tracker.json", + "application/json", + ) + logger.info( + f"Stored prompt tracker for {self.job_id} in minio. Length: {len(self.steps)}" + ) diff --git a/frontend/shared/shared/prompt_types.py b/frontend/shared/shared/prompt_types.py new file mode 100644 index 0000000..1b41074 --- /dev/null +++ b/frontend/shared/shared/prompt_types.py @@ -0,0 +1,29 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from pydantic import BaseModel +from typing import List + + +class ProcessingStep(BaseModel): + step_name: str + prompt: str + response: str + model: str + timestamp: float + + +class PromptTracker(BaseModel): + steps: List[ProcessingStep] diff --git a/frontend/shared/shared/storage.py b/frontend/shared/shared/storage.py new file mode 100644 index 0000000..c480a84 --- /dev/null +++ b/frontend/shared/shared/storage.py @@ -0,0 +1,324 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import io +import ujson as json +import base64 +from minio import Minio +from minio.error import S3Error +from shared.api_types import TranscriptionParams +from shared.otel import OpenTelemetryInstrumentation +from opentelemetry.trace.status import StatusCode +import os +import logging +import urllib3 +from urllib3 import Retry +from urllib3.util import Timeout +from typing import Optional + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + +# Minio config +MINIO_ENDPOINT = os.getenv("MINIO_ENDPOINT", "minio:9000") +MINIO_ACCESS_KEY = os.getenv("MINIO_ACCESS_KEY", "minioadmin") +MINIO_SECRET_KEY = os.getenv("MINIO_SECRET_KEY", "minioadmin") +MINIO_BUCKET_NAME = os.getenv("MINIO_BUCKET_NAME", "audio-results") + + +# TODO: use this to wrap redis as well +# TODO: wrap errors in StorageError +# TODO: implement cleanup and delete as well +class StorageManager: + def __init__(self, telemetry: OpenTelemetryInstrumentation): + """ + Initialize MinIO client and ensure bucket exists + requires: OpenTelemetryInstrumentation instance for tracing since Minio + does not have an auto otel instrumentor + """ + try: + self.telemetry: OpenTelemetryInstrumentation = telemetry + # pass in http_client for tracing + http_client = urllib3.PoolManager( + timeout=Timeout(connect=5, read=5), + maxsize=10, + retries=Retry( + total=5, backoff_factor=0.2, status_forcelist=[500, 502, 503, 504] + ), + ) + self.client = Minio( + os.getenv("MINIO_ENDPOINT", "minio:9000"), + access_key=os.getenv("MINIO_ACCESS_KEY", "minioadmin"), + secret_key=os.getenv("MINIO_SECRET_KEY", "minioadmin"), + secure=os.getenv("MINIO_SECURE", "false").lower() == "true", + http_client=http_client, + ) + + self.bucket_name = os.getenv("MINIO_BUCKET_NAME", "audio-results") + self._ensure_bucket_exists() + logger.info("Successfully initialized MinIO storage") + + except Exception as e: + logger.error(f"Failed to initialize MinIO client: {e}") + raise + + def _ensure_bucket_exists(self): + try: + if not self.client.bucket_exists(self.bucket_name): + self.client.make_bucket(self.bucket_name) + except Exception as e: + logger.error(f"Failed to ensure bucket exists: {e}") + raise + + def _get_object_path(self, user_id: str, job_id: str, filename: str) -> str: + """Generate the full object path including user isolation""" + return f"{user_id}/{job_id}/{filename}" + + def store_file( + self, + user_id: str, + job_id: str, + content: bytes, + filename: str, + content_type: str, + metadata: dict = None, + ) -> None: + """Store any file type in MinIO with metadata""" + with self.telemetry.tracer.start_as_current_span("store_file") as span: + span.set_attribute("user_id", user_id) + span.set_attribute("job_id", job_id) + span.set_attribute("filename", filename) + try: + object_name = self._get_object_path(user_id, job_id, filename) + self.client.put_object( + self.bucket_name, + object_name, + io.BytesIO(content), + length=len(content), + content_type=content_type, + metadata=metadata.model_dump() + if hasattr(metadata, "model_dump") + else metadata, + ) + except Exception as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error( + f"Failed to store file {filename} for user {user_id}, job {job_id}: {str(e)}" + ) + raise + + def store_audio( + self, + user_id: str, + job_id: str, + audio_content: bytes, + filename: str, + transcription_params: TranscriptionParams, + ): + """Store audio file with metadata in MinIO""" + with self.telemetry.tracer.start_as_current_span("store_audio") as span: + span.set_attribute("job_id", job_id) + span.set_attribute("user_id", user_id) + span.set_attribute("filename", filename) + try: + object_name = self._get_object_path(user_id, job_id, filename) + + # Convert transcription params to JSON string for metadata + params_json = json.dumps(transcription_params.model_dump()) + + # Create metadata dictionary with transcription params + metadata = {"X-Amz-Meta-Transcription-Params": params_json} + + self.client.put_object( + self.bucket_name, + object_name, + io.BytesIO(audio_content), + len(audio_content), + content_type="audio/mpeg", + metadata=metadata, + ) + logger.info( + f"Stored audio for user {user_id}, job {job_id} in MinIO as {object_name} with metadata" + ) + + except S3Error as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error(f"Failed to store audio in MinIO: {e}") + raise + + def get_podcast_audio(self, user_id: str, job_id: str) -> Optional[str]: + """Get the audio data for a specific podcast by job_id""" + with self.telemetry.tracer.start_as_current_span("get_podcast_audio") as span: + span.set_attribute("job_id", job_id) + span.set_attribute("user_id", user_id) + try: + # Find the file with matching user_id and job_id + prefix = f"{user_id}/{job_id}/" + objects = self.client.list_objects( + self.bucket_name, prefix=prefix, recursive=True + ) + + for obj in objects: + if obj.object_name.endswith(".mp3"): + span.set_attribute("audio_file", obj.object_name) + audio_data = self.client.get_object( + self.bucket_name, obj.object_name + ).read() + return base64.b64encode(audio_data).decode("utf-8") + + return None + + except Exception as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error( + f"Failed to get audio for user {user_id}, job {job_id}: {str(e)}" + ) + raise + + def get_file(self, user_id: str, job_id: str, filename: str) -> Optional[bytes]: + """Get any file from storage by user_id, job_id and filename""" + with self.telemetry.tracer.start_as_current_span("get_file") as span: + span.set_attribute("job_id", job_id) + span.set_attribute("user_id", user_id) + span.set_attribute("filename", filename) + try: + object_name = self._get_object_path(user_id, job_id, filename) + + try: + data = self.client.get_object(self.bucket_name, object_name).read() + return data + except S3Error as e: + span.set_attribute("error", str(e)) + if e.code == "NoSuchKey": + return None + raise + + except Exception as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error( + f"Failed to get file {filename} for user {user_id}, job {job_id}: {str(e)}" + ) + raise + + def delete_job_files(self, user_id: str, job_id: str) -> bool: + """Delete all files associated with a user_id and job_id""" + with self.telemetry.tracer.start_as_current_span("delete_job_files") as span: + span.set_attribute("job_id", job_id) + span.set_attribute("user_id", user_id) + try: + # List all objects with the user_id/job_id prefix + prefix = f"{user_id}/{job_id}/" + objects = self.client.list_objects( + self.bucket_name, prefix=prefix, recursive=True + ) + + # Delete each object + for obj in objects: + self.client.remove_object(self.bucket_name, obj.object_name) + logger.info(f"Deleted object: {obj.object_name}") + + return True + + except Exception as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error( + f"Failed to delete files for user {user_id}, job {job_id}: {str(e)}" + ) + return False + + def list_files_metadata(self, user_id: str = None): + """Lists metadata filtered by user_id if provided""" + with self.telemetry.tracer.start_as_current_span("list_files_metadata") as span: + try: + # If user_id is provided, use it as prefix to filter results + prefix = f"{user_id}/" if user_id else "" + span.set_attribute("user_id", user_id) + span.set_attribute("prefix", prefix) + + objects = self.client.list_objects( + self.bucket_name, prefix=prefix, recursive=True + ) + files = [] + + for obj in objects: + logger.info(f"Object: {obj.object_name}") + if obj.object_name.endswith("/"): + continue + + try: + stat = self.client.stat_object( + self.bucket_name, obj.object_name + ) + path_parts = obj.object_name.split("/") + logger.info(f"Path parts: {path_parts}") + + if not path_parts[-1].endswith(".mp3"): + continue + + # Update to handle new path structure: user_id/job_id/filename + user_id = path_parts[0] + job_id = path_parts[1] + + file_info = { + "user_id": user_id, + "job_id": job_id, + "filename": path_parts[-1], + "size": stat.size, + "created_at": obj.last_modified.isoformat(), + "path": obj.object_name, + "transcription_params": {}, + } + + if stat.metadata: + try: + params = stat.metadata.get( + "X-Amz-Meta-Transcription-Params" + ) + if params: + file_info["transcription_params"] = json.loads( + params + ) + except json.JSONDecodeError: + logger.warning( + f"Could not parse transcription params for {obj.object_name}" + ) + + files.append(file_info) + logger.info( + f"Found file: {obj.object_name}, size: {stat.size} bytes" + ) + + except Exception as e: + logger.error( + f"Error processing object {obj.object_name}: {str(e)}" + ) + continue + + files.sort(key=lambda x: x["created_at"], reverse=True) + logger.info( + f"Successfully listed {len(files)} metadata for {len(files)} files from MinIO" + ) + return files + + except Exception as e: + span.set_status(StatusCode.ERROR) + span.record_exception(e) + logger.error(f"Failed to list files from MinIO: {str(e)}") + raise diff --git a/frontend/static/diagram.png b/frontend/static/diagram.png new file mode 100644 index 0000000000000000000000000000000000000000..249f2e080ef757a91b51bd7badcb77bd57a03399 GIT binary patch literal 1071689 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zeVD6xMxo*cNxIHi(~){DO9;z8#k75}7In6m=D>M4;i~ww?Ne1>VS|;`r=*vGm#?RI z=goRdtz@U)r}^eBUhTLzEc49&@&vB+pI1)yBNmkZ@6SSP&F=wb6&?HZENS}aW;~1d zqFK$WPW`9LzSzq0JQkFF#mACX?-sEzwXp3%jrJZ03x$Q-C0^6(-rA-*EB5cc|8~%O{oIxDPYJFH- zxgTKXhwX*^{lBeS(GEU0QCgq1ZA6mCJ%_QgR6HmPi=Oa~ z2=VEn>d2=oRAsJ9f2n2+so9SVw^YkcY-Upi37(%0bufQ&4XcS!gSBQbh0y)|qal)xt`(O{N72lm zP#-o|NH&jGf={0$!%vQ4t1IO(Ok#~U%*H3{R@_h>bF&}Qk`7EiwJPPH6aV{nz+44J z2c*`tj}2i8s}K0$&QzvY`hO)A96O*}NVTVPy)nd2m95_W)0+oee_vxit^K}gJ7`wI zb--n0>&-I>cXV=t?-#Lnfgh$mE>^V+JvBmA=W_lf Ht2_S(!`yas literal 0 HcmV?d00001 diff --git a/frontend/utils/email_demo.py b/frontend/utils/email_demo.py new file mode 100644 index 0000000..068f71e --- /dev/null +++ b/frontend/utils/email_demo.py @@ -0,0 +1,500 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import requests +import os +import json as json +import time +from datetime import datetime +from threading import Thread, Event +import websockets +import asyncio +from urllib.parse import urljoin +import argparse +from typing import List + +import smtplib +from email.message import EmailMessage +from email.mime.base import MIMEBase +from email import encoders + +# Add global TEST_USER_ID +TEST_USER_ID = "test-userid" + + +class StatusMonitor: + def __init__(self, base_url, job_id): + self.base_url = base_url + self.job_id = job_id + self.ws_url = self._get_ws_url(base_url) + self.stop_event = Event() + self.services = {"pdf", "agent", "tts"} + self.last_statuses = {service: None for service in self.services} + self.tts_completed = Event() + self.websocket = None + self.reconnect_delay = 1.0 + self.max_reconnect_delay = 30.0 + self.ready_event = asyncio.Event() + + def _get_ws_url(self, base_url): + """Convert HTTP URL to WebSocket URL""" + if base_url.startswith("https://"): + ws_base = "wss://" + base_url[8:] + else: + ws_base = "ws://" + base_url[7:] + return urljoin(ws_base, f"/ws/status/{self.job_id}") + + def get_time(self): + return datetime.now().strftime("%H:%M:%S") + + def start(self): + """Start the WebSocket monitoring in a separate thread""" + self.thread = Thread(target=self._run_async_loop) + self.thread.start() + + def stop(self): + """Stop the WebSocket monitoring""" + self.stop_event.set() + self.thread.join() + + def _run_async_loop(self): + """Run the asyncio event loop in a separate thread""" + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + loop.run_until_complete(self._monitor_status()) + + async def _monitor_status(self): + while not self.stop_event.is_set(): + try: + async with websockets.connect(self.ws_url) as websocket: + self.websocket = websocket + self.reconnect_delay = 1.0 + print(f"[{self.get_time()}] Connected to status WebSocket") + + while not self.stop_event.is_set(): + try: + message = await asyncio.wait_for( + websocket.recv(), timeout=30 + ) + + # Handle ready check message + try: + data = json.loads(message) + if data.get("type") == "ready_check": + await websocket.send("ready") + print( + f"[{self.get_time()}] Sent ready acknowledgment" + ) + continue + except json.JSONDecodeError: + pass + + await self._handle_message(message) + except asyncio.TimeoutError: + try: + pong_waiter = await websocket.ping() + await pong_waiter + except Exception: + break + + except websockets.exceptions.ConnectionClosed: + self.ready_event.clear() + if not self.stop_event.is_set(): + print( + f"[{self.get_time()}] WebSocket connection closed, reconnecting..." + ) + + except Exception as e: + self.ready_event.clear() + if not self.stop_event.is_set(): + print(f"[{self.get_time()}] WebSocket error: {e}, reconnecting...") + + if not self.stop_event.is_set(): + await asyncio.sleep(self.reconnect_delay) + self.reconnect_delay = min( + self.reconnect_delay * 1.5, self.max_reconnect_delay + ) + + async def _handle_message(self, message): + """Handle incoming WebSocket messages""" + try: + data = json.loads(message) + service = data.get("service") + status = data.get("status") + msg = data.get("message", "") + + if service in self.services: + current_status = f"{service}: {status} - {msg}" + if current_status != self.last_statuses[service]: + print(f"[{self.get_time()}] {current_status}") + self.last_statuses[service] = current_status + + if status == "failed": + print(f"[{self.get_time()}] Job failed in {service}: {msg}") + self.stop_event.set() + + if service == "tts" and status == "completed": + self.tts_completed.set() + self.stop_event.set() + + except json.JSONDecodeError: + print(f"[{self.get_time()}] Received invalid JSON: {message}") + except Exception as e: + print(f"[{self.get_time()}] Error processing message: {e}") + + +def get_output_with_retry(base_url: str, job_id: str, max_retries=5, retry_delay=1): + """Retry getting output with exponential backoff""" + for attempt in range(max_retries): + try: + response = requests.get( + f"{base_url}/output/{job_id}", params={"userId": TEST_USER_ID} + ) + if response.status_code == 200: + return response.content + elif response.status_code == 404: + wait_time = retry_delay * (2**attempt) + print( + f"[datetime.now().strftime('%H:%M:%S')] Output not ready yet, retrying in {wait_time:.1f}s..." + ) + time.sleep(wait_time) + continue + else: + response.raise_for_status() + except requests.RequestException as e: + print(f"[datetime.now().strftime('%H:%M:%S')] Error getting output: {e}") + if attempt == max_retries - 1: + raise + time.sleep(retry_delay * (2**attempt)) + + raise TimeoutError("Failed to get output after maximum retries") + + +def test_saved_podcasts(base_url: str, job_id: str, max_retries=5, retry_delay=5): + """Test the saved podcasts endpoints with retry logic""" + print( + f"\n[{datetime.now().strftime('%H:%M:%S')}] Testing saved podcasts endpoints..." + ) + + # Test 1: Get all saved podcasts with retry + print("\nTesting list all podcasts endpoint...") + for attempt in range(max_retries): + response = requests.get( + f"{base_url}/saved_podcasts", params={"userId": TEST_USER_ID} + ) + assert ( + response.status_code == 200 + ), f"Failed to get saved podcasts: {response.text}" + podcasts = response.json()["podcasts"] + print(f"Found {len(podcasts)} saved podcasts") + + # Check if our job_id is in the list + job_ids = [podcast["job_id"] for podcast in podcasts] + if job_id in job_ids: + print(f"Successfully found job_id {job_id} in saved podcasts list") + break + elif attempt < max_retries - 1: + wait_time = retry_delay * (2**attempt) + print( + f"Job ID not found yet, retrying in {wait_time:.1f}s... (attempt {attempt + 1}/{max_retries})" + ) + time.sleep(wait_time) + continue + else: + assert False, f"Recently created job_id {job_id} not found in saved podcasts after {max_retries} attempts" + + # Test 2: Get specific podcast metadata + print("\nTesting individual podcast metadata endpoint...") + response = requests.get( + f"{base_url}/saved_podcast/{job_id}/metadata", params={"userId": TEST_USER_ID} + ) + assert ( + response.status_code == 200 + ), f"Failed to get podcast metadata: {response.text}" + metadata = response.json() + print(f"Retrieved metadata for podcast: {metadata.get('filename', 'unknown')}") + print(f"Metadata: {json.dumps(metadata, indent=2)}") + + # Test 3: Get specific podcast audio + print("\nTesting individual podcast audio endpoint...") + response = requests.get( + f"{base_url}/saved_podcast/{job_id}/audio", params={"userId": TEST_USER_ID} + ) + assert response.status_code == 200, f"Failed to get podcast audio: {response.text}" + audio_data = response.content + print(f"Successfully retrieved audio data, size: {len(audio_data)} bytes") + + +def test_api( + base_url: str, + target_files: List[str], + context_files: List[str], + email: str, + monologue: bool = False, + vdb: bool = False, +): + voice_mapping = { + "speaker-1": "iP95p4xoKVk53GoZ742B", + } + + if not monologue: + voice_mapping["speaker-2"] = "9BWtsMINqrJLrRacOk9x" + + process_url = f"{base_url}/process_pdf" + + # Update path resolution + current_dir = os.path.dirname(os.path.abspath(__file__)) + project_root = os.path.dirname(current_dir) + samples_dir = os.path.join(project_root, "samples") + + # Prepare the payload with updated schema and userId + transcription_params = { + "name": "ishan-test", + "duration": 2, + "speaker_1_name": "Bob", + "voice_mapping": voice_mapping, + "guide": None, + "monologue": monologue, + "userId": TEST_USER_ID, + "vdb_task": vdb, + } + + if not monologue: + transcription_params["speaker_2_name"] = "Kate" + + print( + f"\n[{datetime.now().strftime('%H:%M:%S')}] Submitting PDFs for processing..." + ) + print(f"Using voices: {voice_mapping}") + + # Prepare multipart form data + form_data = [] + + # Process target files + for pdf_file in target_files: + if not os.path.isabs(pdf_file): + pdf_file = os.path.join(samples_dir, pdf_file) + + with open(pdf_file, "rb") as f: + content = f.read() + form_data.append( + ( + "target_files", + (os.path.basename(pdf_file), content, "application/pdf"), + ) + ) + + # Process context files + for pdf_file in context_files: + if not os.path.isabs(pdf_file): + pdf_file = os.path.join(samples_dir, pdf_file) + + with open(pdf_file, "rb") as f: + content = f.read() + form_data.append( + ( + "context_files", + (os.path.basename(pdf_file), content, "application/pdf"), + ) + ) + + # Add transcription parameters + form_data.append(("transcription_params", (None, json.dumps(transcription_params)))) + + try: + response = requests.post(process_url, files=form_data) + + assert ( + response.status_code == 202 + ), f"Expected status code 202, but got {response.status_code}. Response: {response.text}" + job_data = response.json() + assert "job_id" in job_data, "Response missing job_id" + job_id = job_data["job_id"] + print(f"[{datetime.now().strftime('%H:%M:%S')}] Job ID received: {job_id}") + + # Step 2: Start monitoring status via WebSocket + monitor = StatusMonitor(base_url, job_id) + monitor.start() + + try: + # Wait for TTS completion or timeout + max_wait = 40 * 60 + if not monitor.tts_completed.wait(timeout=max_wait): + raise TimeoutError(f"Test timed out after {max_wait} seconds") + + # If we get here, TTS completed successfully + print( + f"\n[{datetime.now().strftime('%H:%M:%S')}] TTS processing completed, retrieving audio file..." + ) + + # Get the final output with retry logic + audio_content = get_output_with_retry(base_url, job_id) + + # Save the audio file + output_path = os.path.join("/project/frontend/demo_outputs/", str(email[0]).split('@')[0] + "-output.mp3") + with open(output_path, "wb") as f: + f.write(audio_content) + print( + f"[{datetime.now().strftime('%H:%M:%S')}] Audio file saved as '{output_path}'" + ) + + # Test saved podcasts endpoints with the newly created job_id + test_saved_podcasts(base_url, job_id) + + # Test RAG endpoint if vdb flag is enabled + if vdb: + print("\nTesting RAG endpoint...") + test_query = "What is the main topic of this document?" + rag_response = requests.post( + f"{base_url}/query_vector_db", + json={"query": test_query, "k": 3, "job_id": job_id}, + ) + assert ( + rag_response.status_code == 200 + ), f"RAG endpoint failed: {rag_response.text}" + rag_results = rag_response.json() + print(f"RAG Query: '{test_query}'") + print(f"RAG Results: {json.dumps(rag_results, indent=2)}") + + finally: + monitor.stop() + + except Exception as e: + print(f"Error during PDF submission: {e}") + raise + +def send_file_via_email(file_location, sender_email, recipient_email): + # Email configuration + print("Configuring Sender Details") + sender_email = sender_email + email_password = os.environ['SENDER_EMAIL_PASSWORD'] + smtp_server = "smtp.gmail.com" + smtp_port = 587 + + # Create email message + print("Configuring Email Message") + msg = EmailMessage() + msg['Subject'] = '[Auto-generated] Your podcast is here!' + msg['From'] = sender_email + msg['To'] = recipient_email + msg.set_content('Your generated podcast is here! Please find the attached file.\n\nThank you for using the AI Research Assistant Blueprint powered by NVIDIA AI Workbench!') + + # Add file attachment + print("Adding podcast as attachment") + with open(file_location, 'rb') as file: + file_data = file.read() + file_name = os.path.basename(file_location) + + msg.add_attachment(file_data, maintype='application', subtype='octet-stream', filename=file_name) + + # Send email + print("Attempting to send email.") + try: + with smtplib.SMTP(smtp_server, smtp_port) as server: + server.starttls() + server.login(sender_email, email_password) + server.send_message(msg) + print(f"File '{file_name}' sent successfully to {recipient_email}") + except Exception as e: + print(f"An error occurred: {str(e)}") + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="Process PDF files for audio conversion", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" + Examples: + # Process with target and context files + python test.py --target main.pdf --context context1.pdf context2.pdf + + # Process with only context files + python test.py --context file1.pdf file2.pdf file3.pdf + + # Process with multiple target files + python test.py --target target1.pdf target2.pdf --context context1.pdf + """, + ) + + parser.add_argument( + "--target", + nargs="+", + default=[], + help="PDF files to use as targets", + metavar="PDF", + ) + parser.add_argument( + "--context", + nargs="+", + default=[], + help="PDF files to use as context", + metavar="PDF", + ) + parser.add_argument( + "--api-url", + default=os.getenv("API_SERVICE_URL", "http://localhost:8002"), + help="API service URL (default: from API_SERVICE_URL env var or http://localhost:8002)", + ) + parser.add_argument( + "--monologue", + action="store_true", + help="Generate a monologue instead of a dialogue", + ) + parser.add_argument( + "--vdb", + action="store_true", + help="Enable Vector Database processing", + ) + parser.add_argument( + "--sender_email", + nargs="+", + default="", + help="Sender email for podcast recording (GMail)", + metavar="EMAIL", + ) + parser.add_argument( + "--recipient_email", + nargs="+", + default="", + help="Recipient email for podcast recording", + metavar="EMAIL", + ) + + args = parser.parse_args() + + # Validate that at least one file was provided + if not args.target and not args.context: + parser.error( + "At least one PDF file must be provided (either target or context)" + ) + + print(f"API URL: {args.api_url}") + print(f"Target PDF files: {args.target}") + print(f"Context PDF files: {args.context}") + print(f"Sender Email: {args.sender_email}") + print(f"Recipient Email: {args.recipient_email}") + print(f"Monologue mode: {args.monologue}") + print(f"VDB mode: {args.vdb}") + print(f"Using test user ID: {TEST_USER_ID}") + + test_api( + args.api_url, + args.target, + args.context, + args.recipient_email, + args.monologue, + args.vdb, + ) + + send_file_via_email("/project/frontend/demo_outputs/" + str(args.recipient_email[0]).split('@')[0] + "-output.mp3", str(args.sender_email[0]), str(args.recipient_email[0])) diff --git a/frontend/utils/logger.py b/frontend/utils/logger.py new file mode 100644 index 0000000..f475a81 --- /dev/null +++ b/frontend/utils/logger.py @@ -0,0 +1,39 @@ +# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import sys + +""" A logger class for capturing stdout and displaying it to the user on the app. """ + +class Logger: + def __init__(self, filename): + self.terminal = sys.stdout + self.log = open(filename, "w") + + def write(self, message): + self.terminal.write(message) + self.log.write(message) + + def flush(self): + self.terminal.flush() + self.log.flush() + + def isatty(self): + return False + +def read_logs(): + sys.stdout.flush() + with open("/project/frontend/output.log", "r") as f: + return f.read() \ No newline at end of file diff --git a/launchable/.gitkeep b/launchable/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/launchable/PDFtoPodcast.ipynb b/launchable/PDFtoPodcast.ipynb index 0ee71ad..6b11461 100644 --- a/launchable/PDFtoPodcast.ipynb +++ b/launchable/PDFtoPodcast.ipynb @@ -59,6 +59,15 @@ "## Prerequisites" ] }, + { + "cell_type": "markdown", + "id": "a2c11ad5-27f1-474e-96d8-a2503ba59ec3", + "metadata": {}, + "source": [ + "

\n", + " ⚠️ Heads Up: NVIDIA AI Workbench users should skip ahead to the \"Create a Podcast!\" section to get started immediately." + ] + }, { "cell_type": "markdown", "id": "d09678c9-8fbe-41d7-84ad-ce624bec582c", @@ -359,7 +368,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "61e18296-a63f-4745-9d5a-3f0148ffabe9", "metadata": {}, "outputs": [], @@ -370,8 +379,9 @@ "from typing import List\n", "from IPython.display import Audio\n", "from pathlib import Path\n", + "import os\n", "\n", - "BASE_URL = \"http://localhost:8002\"\n", + "BASE_URL = \"http://localhost:8002\" if \"AI_WORKBENCH_FLAG\" not in os.environ else os.environ[\"API_SERVICE_URL\"]\n", "\n", "def generate_podcast(\n", " target_pdf_paths: List[str], \n", @@ -517,15 +527,17 @@ "metadata": {}, "outputs": [], "source": [ + "pdf_prefix = \"pdf-to-podcast\" if \"AI_WORKBENCH_FLAG\" not in os.environ else \"..\"\n", + "\n", "try:\n", " print(\"Submitting podcast generation request...\")\n", " job_id = generate_podcast(\n", " target_pdf_paths=[\n", - " \"pdf-to-podcast/samples/investorpres-main.pdf\",\n", + " f\"{pdf_prefix}/samples/investorpres-main.pdf\",\n", " ],\n", " context_pdf_paths=[\n", - " \"pdf-to-podcast/samples/bofa-context.pdf\",\n", - " \"pdf-to-podcast/samples/citi-context.pdf\"\n", + " f\"{pdf_prefix}/samples/bofa-context.pdf\",\n", + " f\"{pdf_prefix}/samples/citi-context.pdf\"\n", " ],\n", " name=\"NVIDIA Earnings Analysis\",\n", " duration=15,\n", @@ -554,7 +566,9 @@ "metadata": {}, "outputs": [], "source": [ - "!curl \"localhost:8002/output/{job_id}?userId=test-userid\" --output temp_audio.mp3\n", + "stripped_base_url = BASE_URL.replace(\"http://\", \"\")\n", + "\n", + "!curl \"{stripped_base_url}/output/{job_id}?userId=test-userid\" --output temp_audio.mp3\n", "Audio(\"temp_audio.mp3\")" ] }, @@ -587,7 +601,7 @@ "metadata": {}, "outputs": [], "source": [ - "!curl \"localhost:8002/saved_podcast/{job_id}/transcript?userId=test-userid\"" + "!curl \"{stripped_base_url}/saved_podcast/{job_id}/transcript?userId=test-userid\"" ] }, { @@ -623,7 +637,7 @@ }, "outputs": [], "source": [ - "!curl \"localhost:8002/saved_podcast/{job_id}/history?userId=test-userid\"" + "!curl \"{stripped_base_url}/saved_podcast/{job_id}/history?userId=test-userid\"" ] }, { @@ -633,7 +647,7 @@ "metadata": {}, "outputs": [], "source": [ - "!curl \"localhost:8002/saved_podcast/{job_id}/metadata?userId=test-userid\"" + "!curl \"{stripped_base_url}/saved_podcast/{job_id}/metadata?userId=test-userid\"" ] }, { @@ -695,7 +709,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.10.12" } }, "nbformat": 4, diff --git a/models.json b/models.json index 99284e3..a09295b 100644 --- a/models.json +++ b/models.json @@ -1,14 +1,14 @@ { "reasoning": { - "name": "meta/llama-3.1-405b-instruct", - "api_base": "https://integrate.api.nvidia.com/v1" + "name": "meta/llama-3.1-8b-instruct", + "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" }, "json": { "name": "meta/llama-3.1-8b-instruct", - "api_base": "https://integrate.api.nvidia.com/v1" + "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" }, "iteration": { - "name": "meta/llama-3.1-70b-instruct", - "api_base": "https://integrate.api.nvidia.com/v1" + "name": "meta/llama-3.1-8b-instruct", + "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" } } diff --git a/postBuild.bash b/postBuild.bash new file mode 100644 index 0000000..c5143e5 --- /dev/null +++ b/postBuild.bash @@ -0,0 +1,5 @@ +#!/bin/bash +# This file contains bash commands that will be executed at the end of the container build process, +# after all system packages and programming language specific package have been installed. +# +# Note: This file may be removed if you don't need to use it diff --git a/preBuild.bash b/preBuild.bash new file mode 100644 index 0000000..e2866a1 --- /dev/null +++ b/preBuild.bash @@ -0,0 +1,5 @@ +#!/bin/bash +# This file contains bash commands that will be executed at the beginning of the container build process, +# before any system packages or programming language specific package have been installed. +# +# Note: This file may be removed if you don't need to use it diff --git a/requirements.txt b/requirements.txt index cb72513..0f28d20 100644 --- a/requirements.txt +++ b/requirements.txt @@ -10,4 +10,6 @@ minio httpx jinja2 ruff -ujson \ No newline at end of file +ujson +jupyterlab>3.0 +gradio==4.43.0 diff --git a/samples/.gitkeep b/samples/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/services/.gitkeep b/services/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/shared/.gitkeep b/shared/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/tests/.gitkeep b/tests/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/variables.env b/variables.env new file mode 100644 index 0000000..96a993f --- /dev/null +++ b/variables.env @@ -0,0 +1,7 @@ +# Set environment variables in the format KEY=VALUE, 1 per line +# This file will be sourced inside the project container when started. +# NOTE: If you change this file while the project is running, you must restart the project container for changes to take effect. + +MAX_CONCURRENT_REQUESTS=10 +API_SERVICE_URL=http://pdf-to-podcast-api-service-1:8002 +AI_WORKBENCH_FLAG=true From 432468f942c6a2536d2cf42a4bc0b98b2bd3c184 Mon Sep 17 00:00:00 2001 From: nv-edwli Date: Mon, 6 Jan 2025 23:19:46 +0000 Subject: [PATCH 07/16] Project Spec Modified. Modified 2 files - Deleted secret 'SENDER_EMAIL_PASSWORD' - Modified files: README.md, models.json --- .project/spec.yaml | 2 -- README.md | 46 ++++++++++++++++++++++++++++++++++++++++++++++ models.json | 12 ++++++------ 3 files changed, 52 insertions(+), 8 deletions(-) diff --git a/.project/spec.yaml b/.project/spec.yaml index 2f8a435..f9c0995 100644 --- a/.project/spec.yaml +++ b/.project/spec.yaml @@ -120,8 +120,6 @@ execution: secrets: - variable: ELEVENLABS_API_KEY description: "" - - variable: SENDER_EMAIL_PASSWORD - description: "" - variable: NVIDIA_API_KEY description: "" mounts: diff --git a/README.md b/README.md index 4411677..d41f10f 100644 --- a/README.md +++ b/README.md @@ -10,6 +10,10 @@ The blueprint accepts a Target PDF and optionally multiple Context PDFs. The Tar For more information about the PDF, Agent and TTS service flows, please refer to the mermaid [diagram](docs/README.md) +| :exclamation: Important | +| :-----------------------| +| Users running this blueprint with [NVIDIA AI Workbench](https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science/workbench/) should skip to the quickstart section [here](#nvidia-ai-workbench-quickstart-)! | + ## Software Components - NVIDIA NIM microservices - Response generation (Inference) @@ -195,3 +199,45 @@ We use GitHub Actions for CI/CD. We run the following actions: - Implement proper certificate management - Configure appropriate security headers - Follow other web security best practices + +## NVIDIA AI Workbench Quickstart [![Open In AI Workbench](https://img.shields.io/badge/Open_In-AI_Workbench-76B900)](https://ngc.nvidia.com/open-ai-workbench/aHR0cHM6Ly9naXRodWIuY29tL05WSURJQS1BSS1CbHVlcHJpbnRzL3BkZi10by1wb2RjYXN0) + +If you do not NVIDIA AI Workbench installed, first complete the installation for AI Workbench [here](https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science/workbench/). + +Let's get started! + +1. Fork this Project to your own GitHub namespace and copy the link. + + ``` + https://github.com/[your_namespace]/ + ``` + +2. Open the NVIDIA AI Workbench Desktop App. Select a location to work in. + +3. Clone this Project onto your desired machine by selecting **Clone Project** and providing the GitHub link. + +4. Wait for the project to build. You can expand the bottom **Building** indicator to view real-time build logs. + +5. When the build completes, set the following configurations. + + * `Environment` → `Secrets` → `Configure`. Specify the ``NVIDIA_API_KEY`` and ``ELEVENLABS_API_KEY`` Key. + * (Optional) To use the email functionality on the frontend application to send your generated podcasts to a recipient, you may also add a ``SENDER_EMAIL_PASSWORD`` secret to the project. For example, if you have a Gmail account you can create an App Password ([docs](https://support.google.com/mail/answer/185833)). + +6. Navigate to `Environment` → `Compose` and **Start** the Docker compose services. You can view progress under **Output** on the bottom left and selecting **Compose** logs from the dropdown. It may take a few minutes to pull and build the services. + + * To run the blueprint with a _locally-running_ Llama 3.1 8B Instruct NVIDIA NIM, be sure to specify the ``local`` profile from the profile dropdown before selecting **Start**. + +7. (Option 1) Run the **Jupyter Notebook**. On the top right of the AI Workbench window, select **Open Jupyterlab**. Navigate to ``launchable/PDFtoPodcast.ipynb``, skip the setup sections, and get started immediately with the provided sample PDFs. + +8. (Option 2) Run the **Frontend application**. On the top right of the AI Workbench window, select **Open Frontend**. From here, you can specify your agent parameters, upload your own locally-stored PDFs, as well as view/download your generated podcast locally (or optionally email your generated podcast to a recipient). + + * To use a _locally-running_ agent, ensure the ``local`` profile is selected in Step 6 and adjust your agent parameters on the frontend to the following. Then save your changes. + + ```json + ... + { + "name": "meta/llama-3.1-8b-instruct", + "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" + } + ... + ``` diff --git a/models.json b/models.json index a09295b..acab7e8 100644 --- a/models.json +++ b/models.json @@ -1,14 +1,14 @@ { "reasoning": { - "name": "meta/llama-3.1-8b-instruct", - "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" + "name": "meta/llama-3.1-405b-instruct", + "api_base": "https://integrate.api.nvidia.com/v1" }, "json": { "name": "meta/llama-3.1-8b-instruct", - "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" + "api_base": "https://integrate.api.nvidia.com/v1" }, "iteration": { - "name": "meta/llama-3.1-8b-instruct", - "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" + "name": "meta/llama-3.1-70b-instruct", + "api_base": "https://integrate.api.nvidia.com/v1" } -} +} \ No newline at end of file From f940c66c6ff7c9a0bfa6cfaf8a6805d4092db7da Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Mon, 6 Jan 2025 17:25:11 -0600 Subject: [PATCH 08/16] Update README.md --- README.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index d41f10f..a6b61ef 100644 --- a/README.md +++ b/README.md @@ -233,11 +233,12 @@ Let's get started! * To use a _locally-running_ agent, ensure the ``local`` profile is selected in Step 6 and adjust your agent parameters on the frontend to the following. Then save your changes. - ```json - ... + ``` { - "name": "meta/llama-3.1-8b-instruct", - "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" + "reasoning": { + "name": "meta/llama-3.1-8b-instruct", + "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" + }, + ... } - ... ``` From 0322563692613279cf8c0c7c2779aaed82f0f31c Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Mon, 6 Jan 2025 17:28:40 -0600 Subject: [PATCH 09/16] Update README.md --- README.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index a6b61ef..bcbee10 100644 --- a/README.md +++ b/README.md @@ -229,8 +229,13 @@ Let's get started! 7. (Option 1) Run the **Jupyter Notebook**. On the top right of the AI Workbench window, select **Open Jupyterlab**. Navigate to ``launchable/PDFtoPodcast.ipynb``, skip the setup sections, and get started immediately with the provided sample PDFs. -8. (Option 2) Run the **Frontend application**. On the top right of the AI Workbench window, select **Open Frontend**. From here, you can specify your agent parameters, upload your own locally-stored PDFs, as well as view/download your generated podcast locally (or optionally email your generated podcast to a recipient). +8. (Option 2) Run the **Frontend application**. On the top right of the AI Workbench window, select **Open Frontend**. + * From here, you can + * Specify your agent parameters (local vs Build endpoints), + * Upload your own locally-stored, custom PDFs + * View and download your generated podcast locally + * Optionally email your generated podcast to a recipient * To use a _locally-running_ agent, ensure the ``local`` profile is selected in Step 6 and adjust your agent parameters on the frontend to the following. Then save your changes. ``` @@ -239,6 +244,6 @@ Let's get started! "name": "meta/llama-3.1-8b-instruct", "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" }, - ... + ... // eg. adjust as necessary for 'json' and 'iteration' } ``` From bcfc4ad9adcf3e62a770f7eb02be6aad8ff26e55 Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Mon, 6 Jan 2025 17:29:41 -0600 Subject: [PATCH 10/16] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bcbee10..97498b9 100644 --- a/README.md +++ b/README.md @@ -235,7 +235,7 @@ Let's get started! * Specify your agent parameters (local vs Build endpoints), * Upload your own locally-stored, custom PDFs * View and download your generated podcast locally - * Optionally email your generated podcast to a recipient + * (optional) Email your generated podcast to a recipient * To use a _locally-running_ agent, ensure the ``local`` profile is selected in Step 6 and adjust your agent parameters on the frontend to the following. Then save your changes. ``` From f7c1bd87e87d1eb1852df7360e3a8bb199b61366 Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Mon, 6 Jan 2025 17:33:10 -0600 Subject: [PATCH 11/16] Update README.md --- README.md | 20 ++++---------------- 1 file changed, 4 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index 97498b9..82482d0 100644 --- a/README.md +++ b/README.md @@ -231,19 +231,7 @@ Let's get started! 8. (Option 2) Run the **Frontend application**. On the top right of the AI Workbench window, select **Open Frontend**. - * From here, you can - * Specify your agent parameters (local vs Build endpoints), - * Upload your own locally-stored, custom PDFs - * View and download your generated podcast locally - * (optional) Email your generated podcast to a recipient - * To use a _locally-running_ agent, ensure the ``local`` profile is selected in Step 6 and adjust your agent parameters on the frontend to the following. Then save your changes. - - ``` - { - "reasoning": { - "name": "meta/llama-3.1-8b-instruct", - "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" - }, - ... // eg. adjust as necessary for 'json' and 'iteration' - } - ``` + * Specify your agent parameters (local vs Build endpoints), + * Upload your own locally-stored, custom PDFs + * View and download your generated podcast locally + * (optional) Email your generated podcast to a recipient From 2f23068c4a73d476b0b576e65029bb6bf83eb7a6 Mon Sep 17 00:00:00 2001 From: nv-edwli Date: Mon, 6 Jan 2025 23:54:52 +0000 Subject: [PATCH 12/16] Modified 2 files - Modified files: frontend/__main__.py, frontend/output.log --- frontend/__main__.py | 8 ++++---- frontend/output.log | 3 +++ 2 files changed, 7 insertions(+), 4 deletions(-) diff --git a/frontend/__main__.py b/frontend/__main__.py index 6da26a5..a529a80 100644 --- a/frontend/__main__.py +++ b/frontend/__main__.py @@ -45,15 +45,15 @@ CONFIG_INSTRUCTIONS_MARKDOWN=""" Use this editor to configure your long-reasoning agent. -**Note:** The default configuration is for a **locally** running ``llama-3.1-8b-instruct`` NIM. +**Note:** The default configuration is for Build endpoints on the NVIDIA API Catalog. To use a local agent, ensure the compose services are running with the ``local`` profile. -Example: Using build.nvidia.com endpoints +**Example**: Using a _locally_ running ``llama-3.1-8b-instruct`` NVIDIA NIM ``` { "reasoning": { - "name": "meta/llama-3.1-70b-instruct", - "api_base": "https://integrate.api.nvidia.com/v1" + "name": "meta/llama-3.1-8b-instruct", + "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" }, ... } diff --git a/frontend/output.log b/frontend/output.log index e69de29..04f3df5 100644 --- a/frontend/output.log +++ b/frontend/output.log @@ -0,0 +1,3 @@ +Running on local URL: http://0.0.0.0:7860 + +To create a public link, set `share=True` in `launch()`. From 0bea89ba6b7e41830a2ccd05066987605f91741b Mon Sep 17 00:00:00 2001 From: nv-edwli Date: Thu, 16 Jan 2025 22:06:16 +0000 Subject: [PATCH 13/16] Modified 4 files - Modified files: frontend/__main__.py, frontend/utils/email_demo.py, models.json, variables.env --- frontend/__main__.py | 66 +++++++++++++++++++++++------------- frontend/utils/email_demo.py | 23 +++++++------ models.json | 10 +++--- variables.env | 1 + 4 files changed, 60 insertions(+), 40 deletions(-) diff --git a/frontend/__main__.py b/frontend/__main__.py index a529a80..8988237 100644 --- a/frontend/__main__.py +++ b/frontend/__main__.py @@ -21,6 +21,7 @@ import json import sys import ast +import re import uuid from frontend.utils import email_demo, logger @@ -97,9 +98,20 @@ with gr.Row(): with gr.Column(scale=1): - with gr.Tab("Architecture Diagram"): - gr.Markdown(BP_INFO_MARKDOWN) - gr.Image(value="frontend/static/diagram.png") + with gr.Tab("Full End to End Flow"): + gr.Markdown("### Upload at least one PDF file for a file to target or as context. ") + with gr.Row(): + target_files = gr.File(label="Upload target PDF", file_types=[".pdf"]) + context_files = gr.File(label="Upload context PDF", file_types=[".pdf"]) + with gr.Row(): + settings = gr.CheckboxGroup( + ["Monologue Only"], label="Additional Settings", info="Customize your podcast here" + ) + with gr.Accordion("Optional: Email Details", open=False): + gr.Markdown("Enter a recipient email here to receive your generated podcast in your inbox! \n\n**Note**: Ensure `SENDER_EMAIL` and `SENDER_EMAIL_PASSWORD` are configured in AI Workbench") + recipient_email = gr.Textbox(label="Recipient email", placeholder="Enter email here") + + generate_button = gr.Button("Generate Podcast") with gr.Tab("Agent Configurations"): gr.Markdown(CONFIG_INSTRUCTIONS_MARKDOWN) @@ -119,22 +131,10 @@ show_label=False, container=False, ) - - with gr.Tab("Full End to End Flow"): - gr.Markdown("### Upload at least one PDF file for a file to target or as context. ") - with gr.Row(): - target_files = gr.File(label="Upload target PDF", file_types=[".pdf"]) - context_files = gr.File(label="Upload context PDF", file_types=[".pdf"]) - with gr.Accordion("Optional: Email Details", open=False): - gr.Markdown("Enter optional email details here to receive your generated podcast in your inbox!") - sender_email = gr.Textbox(label="Sender Email", - placeholder="Configure SENDER_EMAIL_PASSWORD as an AI Workbench secret!") - recipient_email = gr.Textbox(label="Recipient email", placeholder="Enter email here") - with gr.Row(): - settings = gr.CheckboxGroup( - ["Monologue Only"], label="Additional Settings", info="Customize your podcast here" - ) - generate_button = gr.Button("Generate Podcast") + + with gr.Tab("Architecture Diagram"): + gr.Markdown(BP_INFO_MARKDOWN) + gr.Image(value="frontend/static/diagram.png") with gr.Column(scale=1): gr.Markdown("
") @@ -182,7 +182,19 @@ def save_chain_config(config_txt: str) -> None: # %% editor actions editor.input(None, js=_CONFIG_CHANGES_JS) - def generate_podcast(target, context, sender, recipient, settings): + def validate_sender(sender): + if sender is None: + return False + regex = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$' + return bool(re.match(regex, sender)) + + def generate_podcast(target, context, recipient, settings): + if target is None or len(target) == 0: + gr.Warning("Target PDF upload not detected. Please fix and try again. ") + return gr.update(visible=False) + + sender_email = os.environ["SENDER_EMAIL"] if "SENDER_EMAIL" in os.environ else None + if isinstance(target, str): target = [target] if isinstance(context, str): @@ -192,21 +204,27 @@ def generate_podcast(target, context, sender, recipient, settings): monologue = True if "Monologue Only" in settings else False vdb = False # True if "Vector Database" in settings else False filename = str(uuid.uuid4()) - email = [recipient] if (len(recipient) > 0 and "SENDER_EMAIL_PASSWORD" in os.environ) else [filename + "@"] # delimiter + sender_validation = validate_sender(sender_email) + if not sender_validation and len(recipient) > 0: + gr.Warning("SENDER_EMAIL not detected or malformed. Please fix or remove recipient email and try again. You may need to restart the container for Environment Variable changes to take effect. ") + return gr.update(visible=False) + elif sender_validation and len(recipient) > 0 and "SENDER_EMAIL_PASSWORD" not in os.environ: + gr.Warning("SENDER_EMAIL_PASSWORD not detected. Please fix or remove recipient email and try again. You may need to restart the container for Environment Variable changes to take effect. ") + return gr.update(visible=False) + email = [recipient] if (sender_validation and len(recipient) > 0 and "SENDER_EMAIL_PASSWORD" in os.environ) else [filename + "@"] # delimiter # Generate podcast email_demo.test_api(base_url, target, context, email, monologue, vdb) # Send file via email - if len(recipient) > 0 and "SENDER_EMAIL_PASSWORD" in os.environ: - email_demo.send_file_via_email("/project/frontend/demo_outputs/" + recipient.split('@')[0] + "-output.mp3", sender, recipient) + if sender_validation and len(recipient) > 0 and "SENDER_EMAIL_PASSWORD" in os.environ: + email_demo.send_file_via_email("/project/frontend/demo_outputs/" + recipient.split('@')[0] + "-output.mp3", sender_email, recipient) return gr.update(value="/project/frontend/demo_outputs/" + recipient.split('@')[0] + "-output.mp3", visible=True) return gr.update(value="/project/frontend/demo_outputs/" + filename + "-output.mp3", visible=True) generate_button.click(generate_podcast, [target_files, context_files, - sender_email, recipient_email, settings], [output_file]) diff --git a/frontend/utils/email_demo.py b/frontend/utils/email_demo.py index 068f71e..dd2a21e 100644 --- a/frontend/utils/email_demo.py +++ b/frontend/utils/email_demo.py @@ -297,18 +297,19 @@ def test_api( ) # Process context files - for pdf_file in context_files: - if not os.path.isabs(pdf_file): - pdf_file = os.path.join(samples_dir, pdf_file) - - with open(pdf_file, "rb") as f: - content = f.read() - form_data.append( - ( - "context_files", - (os.path.basename(pdf_file), content, "application/pdf"), + if context_files is not None: + for pdf_file in context_files: + if not os.path.isabs(pdf_file): + pdf_file = os.path.join(samples_dir, pdf_file) + + with open(pdf_file, "rb") as f: + content = f.read() + form_data.append( + ( + "context_files", + (os.path.basename(pdf_file), content, "application/pdf"), + ) ) - ) # Add transcription parameters form_data.append(("transcription_params", (None, json.dumps(transcription_params)))) diff --git a/models.json b/models.json index acab7e8..a79cb15 100644 --- a/models.json +++ b/models.json @@ -1,14 +1,14 @@ { "reasoning": { - "name": "meta/llama-3.1-405b-instruct", - "api_base": "https://integrate.api.nvidia.com/v1" + "name": "meta/llama-3.1-8b-instruct", + "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" }, "json": { "name": "meta/llama-3.1-8b-instruct", - "api_base": "https://integrate.api.nvidia.com/v1" + "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" }, "iteration": { - "name": "meta/llama-3.1-70b-instruct", - "api_base": "https://integrate.api.nvidia.com/v1" + "name": "meta/llama-3.1-8b-instruct", + "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" } } \ No newline at end of file diff --git a/variables.env b/variables.env index 96a993f..99bfeef 100644 --- a/variables.env +++ b/variables.env @@ -5,3 +5,4 @@ MAX_CONCURRENT_REQUESTS=10 API_SERVICE_URL=http://pdf-to-podcast-api-service-1:8002 AI_WORKBENCH_FLAG=true +SENDER_EMAIL=Note, you must also add SENDER_EMAIL_PASSWORD as a Secret! From cb688874384628e6f19527c9d4db2a59857e603b Mon Sep 17 00:00:00 2001 From: nv-edwli Date: Thu, 16 Jan 2025 22:54:44 +0000 Subject: [PATCH 14/16] Modified 4 files - Modified files: README.md, frontend/__main__.py, models.json, variables.env --- README.md | 4 ++-- frontend/__main__.py | 6 +++--- models.json | 10 +++++----- variables.env | 2 +- 4 files changed, 11 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 82482d0..7c806b4 100644 --- a/README.md +++ b/README.md @@ -221,7 +221,7 @@ Let's get started! 5. When the build completes, set the following configurations. * `Environment` → `Secrets` → `Configure`. Specify the ``NVIDIA_API_KEY`` and ``ELEVENLABS_API_KEY`` Key. - * (Optional) To use the email functionality on the frontend application to send your generated podcasts to a recipient, you may also add a ``SENDER_EMAIL_PASSWORD`` secret to the project. For example, if you have a Gmail account you can create an App Password ([docs](https://support.google.com/mail/answer/185833)). + * (Optional) To use the email functionality on the frontend application to send your generated podcasts to a recipient, you may also add a ``SENDER_EMAIL`` variable and a ``SENDER_EMAIL_PASSWORD`` secret to the project. Gmail sender accounts are currently supported; you can create an App Password for your account [here](https://support.google.com/mail/answer/185833). 6. Navigate to `Environment` → `Compose` and **Start** the Docker compose services. You can view progress under **Output** on the bottom left and selecting **Compose** logs from the dropdown. It may take a few minutes to pull and build the services. @@ -231,7 +231,7 @@ Let's get started! 8. (Option 2) Run the **Frontend application**. On the top right of the AI Workbench window, select **Open Frontend**. - * Specify your agent parameters (local vs Build endpoints), * Upload your own locally-stored, custom PDFs * View and download your generated podcast locally + * Specify your agent parameters (local vs Build endpoints), * (optional) Email your generated podcast to a recipient diff --git a/frontend/__main__.py b/frontend/__main__.py index 8988237..27d3002 100644 --- a/frontend/__main__.py +++ b/frontend/__main__.py @@ -35,11 +35,11 @@ Monologue or Dialogue Creation Service -* AI processes markdown content, enriching or structuring it to create natural and engaging audio content. + * AI processes markdown content, enriching or structuring it to create natural and engaging audio content. Text-to-Speech (TTS) Service -* Converts the processed content into high-quality speech. + * Converts the processed content into high-quality speech. """ @@ -190,7 +190,7 @@ def validate_sender(sender): def generate_podcast(target, context, recipient, settings): if target is None or len(target) == 0: - gr.Warning("Target PDF upload not detected. Please fix and try again. ") + gr.Warning("Target PDF upload not detected. Please upload a target PDF file and try again. ") return gr.update(visible=False) sender_email = os.environ["SENDER_EMAIL"] if "SENDER_EMAIL" in os.environ else None diff --git a/models.json b/models.json index a79cb15..acab7e8 100644 --- a/models.json +++ b/models.json @@ -1,14 +1,14 @@ { "reasoning": { - "name": "meta/llama-3.1-8b-instruct", - "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" + "name": "meta/llama-3.1-405b-instruct", + "api_base": "https://integrate.api.nvidia.com/v1" }, "json": { "name": "meta/llama-3.1-8b-instruct", - "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" + "api_base": "https://integrate.api.nvidia.com/v1" }, "iteration": { - "name": "meta/llama-3.1-8b-instruct", - "api_base": "http://pdf-to-podcast-local-nim-1:8000/v1" + "name": "meta/llama-3.1-70b-instruct", + "api_base": "https://integrate.api.nvidia.com/v1" } } \ No newline at end of file diff --git a/variables.env b/variables.env index 99bfeef..aefe65d 100644 --- a/variables.env +++ b/variables.env @@ -5,4 +5,4 @@ MAX_CONCURRENT_REQUESTS=10 API_SERVICE_URL=http://pdf-to-podcast-api-service-1:8002 AI_WORKBENCH_FLAG=true -SENDER_EMAIL=Note, you must also add SENDER_EMAIL_PASSWORD as a Secret! +SENDER_EMAIL=To use email, you must also add SENDER_EMAIL_PASSWORD as a Secret! From 5a28d46ccc2fef3f3a2e5af709b9f28fb777496b Mon Sep 17 00:00:00 2001 From: nv-edwli <144396897+nv-edwli@users.noreply.github.com> Date: Thu, 16 Jan 2025 16:59:13 -0600 Subject: [PATCH 15/16] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7c806b4..732318f 100644 --- a/README.md +++ b/README.md @@ -221,7 +221,7 @@ Let's get started! 5. When the build completes, set the following configurations. * `Environment` → `Secrets` → `Configure`. Specify the ``NVIDIA_API_KEY`` and ``ELEVENLABS_API_KEY`` Key. - * (Optional) To use the email functionality on the frontend application to send your generated podcasts to a recipient, you may also add a ``SENDER_EMAIL`` variable and a ``SENDER_EMAIL_PASSWORD`` secret to the project. Gmail sender accounts are currently supported; you can create an App Password for your account [here](https://support.google.com/mail/answer/185833). + * (Optional) Add a ``SENDER_EMAIL`` variable and a ``SENDER_EMAIL_PASSWORD`` secret to the project to use the email functionality on the frontend application. Gmail sender accounts are currently supported; you can create an App Password for your account [here](https://support.google.com/mail/answer/185833). 6. Navigate to `Environment` → `Compose` and **Start** the Docker compose services. You can view progress under **Output** on the bottom left and selecting **Compose** logs from the dropdown. It may take a few minutes to pull and build the services. From b4ad647c413fdd4fe77dc2a0ac416a0cff530e39 Mon Sep 17 00:00:00 2001 From: nv-edwli Date: Wed, 22 Jan 2025 18:27:22 +0000 Subject: [PATCH 16/16] Modified 2 files - Modified files: docker-compose.yaml, frontend/__main__.py --- docker-compose.yaml | 11 ----------- frontend/__main__.py | 12 +++++++++++- 2 files changed, 11 insertions(+), 12 deletions(-) diff --git a/docker-compose.yaml b/docker-compose.yaml index b386bb6..7fd7f66 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -18,7 +18,6 @@ services: environment: - NIM_MODEL_PROFILE=193649a2eb95e821309d6023a2cabb31489d3b690a9973c7ab5d1ff58b0aa7eb - NGC_API_KEY=${NVIDIA_API_KEY:?Error NVIDIA_API_KEY not set} - - NVWB_TRIM_PREFIX=true networks: - app-network profiles: @@ -31,8 +30,6 @@ services: command: redis-server --appendonly no networks: - app-network - environment: - - NVWB_TRIM_PREFIX=true minio: image: minio/minio:latest @@ -42,7 +39,6 @@ services: environment: - MINIO_ROOT_USER=minioadmin - MINIO_ROOT_PASSWORD=minioadmin - - NVWB_TRIM_PREFIX=true volumes: - minio_data:/data command: minio server /data --console-address ":9001" @@ -65,7 +61,6 @@ services: - AGENT_SERVICE_URL=http://agent-service:8964 - TTS_SERVICE_URL=http://tts-service:8889 - REDIS_URL=redis://redis:6379 - - NVWB_TRIM_PREFIX=true depends_on: - redis - pdf-service @@ -85,7 +80,6 @@ services: - NVIDIA_API_KEY=${NVIDIA_API_KEY} - REDIS_URL=redis://redis:6379 - MODEL_CONFIG_PATH=/app/config/models.json - - NVWB_TRIM_PREFIX=true volumes: - ./models.json:/app/config/models.json depends_on: @@ -102,7 +96,6 @@ services: environment: - REDIS_URL=redis://redis:6379 - MODEL_API_URL=${MODEL_API_URL:-http://pdf-api:8004} - - NVWB_TRIM_PREFIX=true extra_hosts: - "host.docker.internal:host-gateway" depends_on: @@ -120,7 +113,6 @@ services: - MAX_CONCURRENT_REQUESTS=${MAX_CONCURRENT_REQUESTS} - ELEVENLABS_API_KEY=${ELEVENLABS_API_KEY} - REDIS_URL=redis://redis:6379 - - NVWB_TRIM_PREFIX=true depends_on: - redis networks: @@ -134,7 +126,6 @@ services: - "4318:4318" # OTLP HTTP environment: - COLLECTOR_OTLP_ENABLED=true - - NVWB_TRIM_PREFIX=true healthcheck: test: ["CMD", "wget", "--spider", "localhost:16686"] interval: 5s @@ -155,7 +146,6 @@ services: - REDIS_HOST=redis - REDIS_PORT=6379 - TEMP_FILE_DIR=/tmp/pdf_conversions - - NVWB_TRIM_PREFIX=true volumes: - pdf_temp:/tmp/pdf_conversions depends_on: @@ -173,7 +163,6 @@ services: - CELERY_BROKER_URL=redis://redis:6379/0 - CELERY_RESULT_BACKEND=redis://redis:6379/0 - TEMP_FILE_DIR=/tmp/pdf_conversions - - NVWB_TRIM_PREFIX=true volumes: - pdf_temp:/tmp/pdf_conversions depends_on: diff --git a/frontend/__main__.py b/frontend/__main__.py index 27d3002..2bbd50a 100644 --- a/frontend/__main__.py +++ b/frontend/__main__.py @@ -70,6 +70,16 @@ } """ +js_func = """ +function refresh() { + const url = new URL(window.location); + if (url.searchParams.get('__theme') !== 'dark') { + url.searchParams.set('__theme', 'dark'); + window.location.href = url.href; + } +} +""" + _CONFIG_CHANGES_JS = """ async() => { title = document.querySelector("div#config-toolbar p"); @@ -92,7 +102,7 @@ sys.stdout = logger.Logger("/project/frontend/output.log") # Gradio Interface -with gr.Blocks(css=css) as demo: +with gr.Blocks(css=css, js=js_func) as demo: gr.Markdown("# NVIDIA AI Blueprint: PDF-to-Podcast") with gr.Row():

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