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--- |
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title: Inverse Cooking Version 2 |
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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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