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6 changes: 3 additions & 3 deletions intermediate_source/flask_rest_api_tutorial.py
Original file line number Diff line number Diff line change
Expand Up @@ -321,9 +321,9 @@ def get_prediction(image_bytes):
# for deploying a Flask server in production.
#
# - You can also add a UI by creating a page with a form which takes the image and
# displays the prediction. Check out the `demo <https://pytorch-imagenet.herokuapp.com/>`_
# of a similar project and its `source code <https://github.com/avinassh/pytorch-flask-api-heroku>`_.
#
# displays the prediction. You can deploy your own demo using this
# `Heroku template <https://dashboard.heroku.com/new?template=https%3A%2F%2Fgithub.com%2Favinassh%2Fpytorch-flask-api-heroku>`_
# or check out the `source code <https://github.com/avinassh/pytorch-flask-api-heroku>`_.
# - In this tutorial, we only showed how to build a service that could return predictions for
# a single image at a time. We could modify our service to be able to return predictions for
# multiple images at once. In addition, the `service-streamer <https://github.com/ShannonAI/service-streamer>`_
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