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Initial clean Space deployment
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# Minimal Hugging Face Space for Intel Image Classifier
This folder contains a minimal Hugging Face Space app using a custom `index.html` frontend and a Python backend.
## Files
- `app.py` β€” FastAPI backend for prediction and frontend delivery
- `index.html` β€” frontend UI for uploading images and selecting the model
- `requirements.txt` β€” dependencies
- `models/` β€” place your trained models here
## Model files required
Place your trained models in `hf_space/models/`:
- `pytorch_model.pth`
- `model_best.keras`
## Deploying on Hugging Face Spaces
1. Create a new Space on Hugging Face
2. Select `Python` SDK
3. Push the contents of this `hf_space/` directory to the new Space repository
The Space will run `app.py` automatically and serve `index.html` as the frontend.
## Docker support
A `Dockerfile` is included so you can also build and run the app locally in a container.
## Local testing
From `hf_space/`:
```bash
pip install -r requirements.txt
python app.py
```
Then open:
- `http://localhost:7860`