This sample demonstrates interacting with the Deepgram API from Flask to make transcriptions of prerecorded files. It uses the Deepgram Python SDK, with a javascript client built from web components (no npm requirements).
Deepgram is a foundational AI company providing speech-to-text and language understanding capabilities to make data readable and actionable by human or machines.
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.
Follow these steps to get started with this starter application.
Go to GitHub and clone the repository.
Install the project dependencies.
pip install -r requirements.txtCopy 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%Once running, you can access the application in your browser.
flask run -p 8080Install virtualenv.
pip install virtualenvCreate a virtual environment.
python -m venv envActivate the environment.
source env/bin/activateThen install your dependencies with pip and they will be installed in the virtual environment rather than your user.
pip install -r requirements.txtIf 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.
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
This project is licensed under the MIT license. See the LICENSE file for more info.