README.md

metadata

title: Cifar10 Classification
emoji: 🤗
colorFrom: red
colorTo: pink
sdk: streamlit
sdk_version: 1.33.0
app_file: app.py
pinned: false
license: apache-2.0

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

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.

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

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

• Change the HOST variable on the app_with_fastapi.py file.
• Execute the app_with_fastapi.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 pre-trained model.
• app_endpoint.py: Contains api_endpoint for the prediction.
• app_with_fastapi.py: Contains the code for the Streamlit app with FastAPI endpoint.