TrishanuDas/cifar10_classification

To access the app, follow these steps:

Step 1: Access the app directly on the link (This does not use the FastAPI endpoints): https://huggingface.co/spaces/TrishanuDas/cifar10_classification

Step 2: Use the Streamlit app via the FastAPI endpoint.(This could not be deployed due to non-accessibility of a non-crashable server like an AWS ec2 instance)

• —Run the FastAPI server on any instance using the following command:

    uvicorn api_endpoint:app --reload --host <host_name> --port <port_number>

• —Change the HOST variable on the app_with_fastapi.py file.
• —Execute the appwithfastapi.py file using the following command:

    streamlit run app_with_fastapi.py

Files

The following files are present in this repository:

• —app.py: The main Streamlit app file to run directly.
• —requirements.txt: The list of Python dependencies required by the app.
• —model.py: Contains the code for loading and using the model.
• —app_endpoint.py: Contains FASTAPI endpoint for the prediction.
• —app_with_fastapi.py: Contains the code for the Streamlit app with FastAPI endpoint.