ASR_using_pywhispercpp

Run

pip install -r requirements.txt

pywhispercpp

Python bindings for whisper.cpp with a simple Pythonic API on top of it.

Installation

1. Install ffmpeg

# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

2. Once ffmpeg is installed, install pywhispercpp

pip install pywhispercpp

If you want to use the examples, you will need to install extra dependencies

pip install pywhispercpp[examples]

Or install the latest dev version from GitHub

pip install git+https://github.com/abdeladim-s/pywhispercpp

Quick start

from pywhispercpp.model import Model

model = Model('base.en', n_threads=6)
segments = model.transcribe('file.mp3', speed_up=True)
for segment in segments:
    print(segment.text)

You can also assign a custom new_segment_callback

from pywhispercpp.model import Model

model = Model('base.en', print_realtime=False, print_progress=False)
segments = model.transcribe('file.mp3', new_segment_callback=print)

• The ggml model will be downloaded automatically.
• You can pass any whisper.cpp parameter as a keyword argument to the Model class or to the transcribe function.
• The transcribe function accepts any media file (audio/video), in any format.
• Check the Model class documentation for more details.

Run app.py

Errors

• If you encounter any issue with gr.Audio uncomment the commented line and comment the existing one.
• The existing works with gradio

Functions

• transcribe: This function takes the audio input resample it using resamplr_to_16k function and saves it in a temporary .wav file which will be deleted later.
• resample_to_16k: This function resamples the speech rate of audio to 16k

References:

• Main Github : https://github.com/abdeladim-s/pywhispercpp/
• Documentation : https://abdeladim-s.github.io/pywhispercpp/