Скачать или смотреть Resolving the Heroku Runtime Error for Flask Apps

Learn how to fix the "Requested runtime is not available" error when deploying your Flask and TensorFlow app on Heroku. Follow our easy guide for a smooth deployment.
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Resolving the Heroku Runtime Error for Flask Apps: A Step-by-Step Guide

Deploying a web application can sometimes be a challenging process, especially when it involves integrating various technologies like Flask and TensorFlow. If you're attempting to push your Flask web app to Heroku and encounter the error "Requested runtime is not available for this stack (heroku-18)," you're not alone. This guide will guide you through the steps needed to resolve this issue and successfully deploy your app.

Understanding the Problem

When you try to deploy your Flask application using the command git push Heroku master, you may receive a runtime error indicating that the specific versions of Python and components you are trying to use are not available for the Heroku stack you are targeting. For example:

[[See Video to Reveal this Text or Code Snippet]]

This happens because the Python versions or libraries specified in your project requirements are not compatible with the Heroku-18 stack you are trying to use for deployment.

Solution: Specify the Python Version

To resolve this error, you'll need to specify the version of Python that your application requires. Here’s how you can do it:

Step 1: Create a runtime.txt File

Navigate to your main project folder where your application's code resides.

Create a new file named runtime.txt.

Step 2: Specify the Python Version

Inside the runtime.txt file, specify the exact version of Python you are using. For example, if you are using Python version 3.7.10, add the following line:

[[See Video to Reveal this Text or Code Snippet]]

Example of runtime.txt

Your runtime.txt file should look like this:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Commit Your Changes

Make sure to add and commit your changes to git:

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Push to Heroku Again

Now that you have specified the Python version, push your code to Heroku once more:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following these steps, you should no longer encounter the "Requested runtime is not available for this stack (heroku-18)" error. Specifying the correct Python version in runtime.txt ensures compatibility with the Heroku stack you are using.

Now you can continue with the deployment of your Flask application that utilizes TensorFlow for image classification. Don’t let deployment errors keep you from bringing your exciting projects to life!

Keep this guide handy for future reference, and happy coding!