This project utilizes a deep learning model from Hugging Face's model hub to classify images as either "hot dog" or "not hot dog". The model is deployed as a Flask web application where users can upload images and instantly receive classification results.
Usage:
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Clone the repository: git clone https://github.com/your-username/hot-dog-recognizer.git cd hot-dog-recognizer
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Set up your environment: Create and activate a virtual environment (optional but recommended): python -m venv venv . venv/bin/activate # On Windows use
venv\Scripts\activate -
Install Flask and other dependencies: pip install Flask requests python-dotenv
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Obtain an API key from Hugging Face and update the .env file: HUGGING_FACE_API_KEY=your_api_key_here HUGGING_FACE_API_URL=https://api-inference.huggingface.co/models/julien-c/hotdog-not-hotdog
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Run the application: python web.py
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Play with the AI on your browser.
