| ---
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| title: Inverse Cooking
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| emoji: 👀
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| colorFrom: purple
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| colorTo: green
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| sdk: gradio
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| sdk_version: 5.32.0
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| app_file: app.py
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| pinned: false
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| license: mit
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| short_description: Generate recipes from food images using Facebook's model.
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| ---
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| # Inverse Cooking - Recipe Generator from Images 🍽️
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| This Space deploys the [Inverse Cooking](https://github.com/facebookresearch/inversecooking) model developed by Facebook AI Research (FAIR).
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| Upload a food image and receive a predicted recipe with ingredients and cooking instructions.
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| > ⚠️ This model and code were originally developed by [facebookresearch/inversecooking](https://github.com/facebookresearch/inversecooking).
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| > This deployment is for demonstration purposes only and does not claim ownership of the model or training data.
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| ---
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| ## 🔧 How it works
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| 1. A Transformer-based encoder-decoder architecture takes an image of food.
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| 2. It predicts a list of ingredients.
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| 3. Based on the predicted ingredients, it generates cooking instructions.
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| ---
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| ## 🧠 Model Info
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| - Encoder: ResNet-based visual encoder
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| - Decoder: Transformer decoder
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| - Trained on: Recipe1M+ dataset
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| ---
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| ## 📄 License
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| This deployment uses the original code and model weights licensed under **MIT License** from FacebookResearch.
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| ---
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