Update intermediate_source/flask_rest_api_tutorial.py

Co-authored-by: Svetlana Karslioglu <[email protected]>

Author: Rachel0619

intermediate_source/flask_rest_api_tutorial.py

@@ -321,9 +321,7 @@ 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. You can deploy your own demo using this 
-#   `Heroku template <https://dashboard.heroku.com/new?template=https%3A%2F%2Fi.8713187.xyz%2Favinassh%2Fpytorch-flask-api-heroku>`_
-#   or check out the `source code <https://github.com/avinassh/pytorch-flask-api-heroku>`_.
+#   displays the prediction. 
 # - 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>`_