client.py

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import numpy as np
import tritonclient.grpc as grpcclient

client = grpcclient.InferenceServerClient(url="localhost:8001")

image_data = np.fromfile("img1.jpg", dtype="uint8")
image_data = np.expand_dims(image_data, axis=0)

input_tensors = [grpcclient.InferInput("input_image", image_data.shape, "UINT8")]
input_tensors[0].set_data_from_numpy(image_data)
results = client.infer(model_name="ensemble_model", inputs=input_tensors)
output_data = results.as_numpy("recognized_text").astype(str)
print(output_data)