imfing/keras-flask-deploy-webapp

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1209 stars · 461 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A minimal, customizable Flask web app template for deploying Keras/TensorFlow image classification models. It ships with a mobile-friendly drag-and-drop UI and Docker support so trained or pre-trained models (VGG, ResNet, DenseNet) can be served in minutes.

Use cases

• deploy a keras image classifier as a web app
• serve a trained .h5 model over http
• quickly demo a tensorflow model to non-technical users
• build a drag-and-drop image upload prediction page
• dockerize a flask machine learning app
• try pretrained models like vgg or resnet in a browser

When to choose

• you want the fastest path from a keras model to a shareable web demo
• you need a simple, hackable template to customize with your own model
• you prefer a lightweight vanilla JS/Flask stack over heavier ML UI tools

When to avoid

• you need production-grade serving with scaling, batching, or monitoring
• you want rich interactive ML demos - gradio or streamlit fit better
• your model is not an image classifier or not built with keras/tensorflow

Facets

application · maturity maintenance

web-framework machine-learning image-processing deployment deep-learning web-development machine-learning python cross-platform keras tensorflow flask image-classifier model-deployment template pre-trained-models docker web-server

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