Flask Live Transcription Starter

This sample demonstrates interacting with the Deepgram live streaming API using Flask, a micro web framework for Python.

What is Deepgram?

Deepgram is a foundational AI company providing speech-to-text and language understanding capabilities to make data readable and actionable by human or machines.

Sign-up to Deepgram

Before you start, it's essential to generate a Deepgram API key to use in this project. Sign-up now for Deepgram and create an API key.

Quickstart

Manual

Follow these steps to get started with this starter application.

Clone the repository

Go to GitHub and clone the repository.

Install dependencies

Install the project dependencies.

pip install -r requirements.txt

Edit the config file

Copy the code from sample.env and create a new file called .env. Paste in the code and enter your API key you generated in the Deepgram console.

DEEPGRAM_API_KEY=%api_key%

Run the application

You need to run both app.py (port 8000) and app_socketio.py (port 5001). Once running, you can access the application in your browser at http://127.0.0.1:8000

python app.py
python app_socketio.py

Testing

To contribute or modify pytest code, install the following dependencies:

pip install -r requirements-dev.txt

To run the tests, run the following command:

pytest -v -s

Issue Reporting

If you have found a bug or if you have a feature request, please report them at this repository issues section. Please do not report security vulnerabilities on the public GitHub issue tracker. The Security Policy details the procedure for contacting Deepgram.

Getting Help

We love to hear from you so if you have questions, comments or find a bug in the project, let us know! You can either:

• Open an issue in this repository
• Join the Deepgram Github Discussions Community
• Join the Deepgram Discord Community

Author

Deepgram

License

This project is licensed under the MIT license. See the LICENSE file for more info.