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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` — FastAPI backend for prediction and frontend delivery | |
| - `index.html` — frontend UI for uploading images and selecting the model | |
| - `requirements.txt` — dependencies | |
| - `models/` — 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` | |