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Starter app for fastai v3 model deployment on Render

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This webapp was created from the fast.ai v3 curriculum from Lessons 2 and 3.

Input an image of a cello or violin (or an image of anything!) and this model (based on ResNet34) will try its best to identify what instrument it is.

Thanks to Jeremy Howard and the fast.ai team!

Original README can be found below:

NOTE! This app is only temporarily available on the render site, but the code should work for other deployment tasks outside of Render.

Starter for deploying fast.ai models on Render

This repo can be used as a starting point to deploy fast.ai models on Render.

The sample app described here is up at https://fastai-v3.onrender.com. Test it out with bear images!

You can test your changes locally by installing Docker and using the following command:

docker build -t fastai-v3 . && docker run --rm -it -p 5000:5000 fastai-v3

The guide for production deployment to Render is at https://course.fast.ai/deployment_render.html.

Please use Render's fast.ai forum thread for questions and support.

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