Home_Page.py

import streamlit as st

st.set_page_config(
    page_title="Home page"
)

st.sidebar.success("Select a model above")
st.session_state["features"] = None
st.session_state["targets"] = None
st.session_state["data"] = None

st.header("Instruction")

st.write(""" 
1. Head to EDA page to get you data assessed
2. Head to the page with the model you want to try. For now you can choose only the baseline model.
3. After you train you model you can donwload it neatly packed in a zip archive with all the necessary
     things for running you own streamlit inference application
4. Unzip the archive as a folder, open the folder directory in terminal and run 
    
    1.  ```bash
        chmod 777 run.sh
        ```
    2.  ```bash
        ./run.sh
        ```

5. Or you can do all the things specified in run.sh manually

    1. create virtual environment: 

        ```bash
        python3 -m venv venv
        ```

    2. activate the created virtual environment
    
        For Unix-like systems:
        
        ```bash
            source venv/bin/activate
        ```
        
        For Windows:
        
        ```bash
            source venv/Scripts/activate
        ```
        
    3. upgrade pip, wheel and setuptools
    
        ```bash
        pip install -U pip wheel setuptools
        ```
    
    4. install the requirements
    
        ```bash
        pip install -r requirements.txt
        ```
    
    5. run streamlit app
    
        ```bash
        streamlit run interface.py
        ```
""")