Setting up your Serverless Function
Let’s break down the process of creating our TTS simulator into steps.Import required libraries
First, import the necessary libraries:Create the TTS Simulator
Define a function that simulates the text-to-speech process:- Splits the input text into words
- Processes the words in chunks
- Simulates a delay for each chunk
- Yields each “audio chunk” as it’s processed
Create the Generator Handler
Now, let’s create the main handler function:- Extracts parameters from the job input
- Logs the start of the job
- Calls the TTS simulator and yields each chunk as it’s processed
- Yields a completion message when finished
Set up the main function
Finally, set up the main execution block:Complete code example
Here’s the full code for our serverless TTS simulator:Testing your Serverless Function
To test your function locally, use this command:Understanding the output
When you run the test, you’ll see output similar to this:- The incremental processing of text chunks
- Real-time status updates for each chunk
- A completion message when the entire text is processed
Conclusion
You’ve now created a serverless function using Runpod’s Python SDK that simulates a streaming text-to-speech process. This example showcases how to handle long-running tasks and stream results incrementally in a serverless environment. To further enhance this application, consider:- Implementing a real text-to-speech model
- Adding error handling for various input types
- Exploring Runpod’s documentation for advanced features like GPU acceleration for audio processing