The .zip files contained in this folder contain the files for creating the FoodVision Mini and FoodVision Big demos.
The code to create these can be found in 09. PyTorch Model Deployment.
Each .zip folder contains:
model.py- a file defining the model architecture used for the demo.app.py- a file defining the Gradio demo application.*.pth- a trained PyTorch model file with the same architecture as inmodel.py.requirements.txt- a list of required packages for deploying the app.examples/- a folder containing various image examples to try with the demo.
You can see a deployed version of each demo on HuggingFace Spaces:
| App | What does it do? | Live demo | See files | Download files |
|---|---|---|---|---|
| FoodVision Mini | Classifies an image of food into pizza 🍕, steak 🥩 or sushi 🍣. | Demo | Files | Download foodvision_mini.zip |
| FoodVision Big 💪 | Classifies an image of food into 101 different food classes from the Food101 dataset. | Demo | Files | Download foodvision_big.zip |