whisper.api

This project provides an API with user level access support to transcribe speech to text using a finetuned and processed Whisper ASR model.

Installation

To install the necessary dependencies, run the following command:

# Install ffmpeg for Audio Processing
sudo apt install ffmpeg

# Install Python Package
pip install -r requirements.txt

Running the Project

To run the project, use the following command:

uvicorn app.main:app --reload

Example to Transcribe a File

To upload a file and transcribe it, use the following command: Note: The token is a dummy token and will not work. Please use the token provided by the admin.


# Modify the token and audioFilePath
curl -X 'POST' \
  'http://localhost:8000/api/v1/transcribe/?model=tiny.en.q5' \
  -H 'accept: application/json' \
  -H 'Authentication: e9b7658aa93342c492fa64153849c68b8md9uBmaqCwKq4VcgkuBD0G54FmsE8JT' \
  -H 'Content-Type: multipart/form-data' \
  -F '[email protected];type=audio/wav'

License

MIT

Reference & Credits

Authors

Ved Gupta

🚀 About Me

I'm a Developer i will feel the code then write.

Support

For support, email [email protected]