This project aims to provide a Whisper integration to Rhasspy. Currently, it is somewhat functional, can work on both CPU and GPU with the provided Dockerfile.

Whisper is required follow the installation instructions here

pip install -r requirements.txt
python main.py

Start the container

docker run -p 4444:4444 tiemajor/whisper-rhasspy-http:latest 

OR start the container with GPU support (requires nvidia-container-runtime, more info here)

docker run --gpus all -p 4444:4444 tiemajor/whisper-rhasspy-http:latest 

On Rhasspy change your Speech To Text method to Remote HTTP and set the Speech to Text URL to http:https://[IP]:[PORT]/api/speech-to-text. Take care of replacing IP and PORT with actual values.

Arguments :

• --host : Set the bind address of the HTTP server. Defaults to 0.0.0.0
• --port : Set the bind port of the HTTP server. Defaults to 4444
• --filter-chars : Provide a list of characters to be filtered out of the recognized text. Defaults to None
• --whisper-model : Define what model should be used for Whisper possible values are tiny, base, small, medium, large; More info here. Defaults to base

You can pass arguments to your docker run command in the same as you would usually.

Some intent recognition services might have troubles recognizing intents because Whisper adds punctuation to the recognized text. For example What time is it ? might not be recognized while What time is it will be. The --filter-chars argument is meant to be used in this case. You can specify a list of characters that will automatically get filtered out. A good example would be --filter-chars ".?'"\!\"":;<>[]{}()"

Build the docker image

docker build . -t whisper-rhasspy-http:latest