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Real-time Audio Transcription

Purpose

This project aims to provide a real-time audio transcription system, where audio input from a microphone is sent to a server, transcribed, and then displayed to the user in real-time. The project uses a server to do the heavy calculations to do the actual transcription while a lightweight client just does the audio recording and another client just does the result display.

Python Files

transcribe_server.py

This file contains the server-side logic, which:

  • Listens for incoming audio chunks from the client
  • Transcribes the audio chunks using whisper
  • Returns the transcribed text to the client

audio_grabber.py

This file contains the client-side logic, which:

  • Captures audio from the microphone
  • Chunks the audio into manageable pieces
  • Sends the audio chunks to the server with a unique chunk ID

HTML Files

transcribe_listener.html

This file contains the client-side logic, which:

  • Listens to the server for transcribed chunks
  • Displays the transcribed text to the user in real-time

Setup and Run

To set up and run the project, follow these steps:

  • Install the required Python packages: pyaudio, flask, requests, whisper
  • Run audio_grabber.py to start capturing audio from the microphone
  • Run transcribe_server.py to start the server
  • Open transcribe_listener.py in the browser to start displaying transcribed text in real-time
./server -m models/ggml-large-v3.bin -l de -p 16 -t 32 --host 0.0.0.0 --port 8007