When users input the recipe url into the text prompt, the web app will extract the ingredients out of the recipe url using
cheerio and forward to a deep learning model exported in
onnx format and was trained using
HuggingFace Trainer, lastly, sugar level will get returned.
The AI model is deployed at the edge, which means the AI model will get loaded at the client side using
wasm backend, no custom Python backend is required which drastically reduce the deployment costs.
Try it here: https://ingbetic.vercel.app/
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