[FEATURE]: Create Audio Route for Deep Learning Playground and Implement Audio Routing in urls.py

[codingwithsurya]

Feature Name

In order to extend the Deep Learning Playground's functionality to support audio data processing, we need to create an Audio Route consisting of schemas.py, audio.py, and init.py. This route will enable users to interact with audio data, upload audio files, and train deep learning models specifically designed for audio tasks. Also use urls.py file for routing requests to the audio.py file.

Your Name

Surya Subramanian

Description

As part of our ongoing efforts to expand the capabilities of our deep learning playground, we need to create a new route for audio processing. This route should be similar to the existing image and tabular routes - use these for inspiration!

The new route should be located under the routes directory and should be named audio. Inside this directory, we need to create three files: schemas.py, audio.py, and __init__.py.

The next step is to integrate this route into our main application.

The task is to add the audio route to the urls.py file. This will allow the application to route requests to the appropriate handlers in the audio.py file.

Please ensure that the audio route is correctly integrated and that all tests pass after the integration.

Let me know if you need any additional information or clarification.

[github-actions]

Hello @codingwithsurya! Thank you for submitting the Feature Request Form. We appreciate your contribution. 👋

We will look into it and provide a response as soon as possible.

To work on this feature request, you can follow these branch setup instructions:

1. Checkout the main branch:

```
 git checkout nextjs
```

2. Pull the latest changes from the remote main branch:

```
 git pull origin nextjs
```

3. Create a new branch specific to this feature request using the issue number:

```
 git checkout -b feature-1162
```

Feel free to make the necessary changes in this branch and submit a pull request when you're ready.

Best regards,
Deep Learning Playground (DLP) Team