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whisper-clipboard

A basic TUI for transcribing audio to your clipboard using OpenAI's whisper models.

    0.2.1

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Whisper Transcribe

Welcome to the Whisper Transcribe repository. This is a simple Python command line application that allows you to record audio and transcribe it using one of the Whisper ASR models by OpenAI. It uses a terminal user interface, making it easy to use.

Prerequisites

  • Python 3.10 or higher (probably works with lower versions, but not tested)
  • ffmpeg

Installation from PyPI

pip install whisper-clipboard

And then run transcribe and start transcribing. Please make sure you have ffmpeg installed properly on your system (this may vary between different operating systems).

Installation using the repo

For NixOS Users:

# Step 1: Clone the repository.
git clone https://github.com/data-stepper/whisper-clipboard

# Step 2: cd into the cloned repository.
cd whisper-clipboard

# Step 3: Run Nix-shell to set up the environment and install all necessary packages.
nix-shell

# Step 4: Run the Whisper Transcribe program.
python transcribe.py

For Non-NixOS Users:

# Step 1: Clone the repository.
git clone https://github.com/data-stepper/whisper-clipboard

# Step 2: cd into the cloned repository.
cd whisper-clipboard

# Step 3: (Optional) Create a virtual environment and activate it.
python -m venv venv
source venv/bin/activate
# On Windows, activate the virtual environment with 'venv\Scripts\activate'

# Step 4: Install the required packages.
pip install -r requirements.txt

# Step 5: Run the Whisper Transcribe program.
python transcribe.py

Usage

Start the program using

python transcribe.py

After starting the program, you will see a prompt ('>').

  • Press 'Space' to start recording. While recording, the terminal will display "Recording..."
  • Press 'Space' again to stop recording. The audio will be saved, and the transcription will be displayed in the terminal and copied to the clipboard.
  • Press 'Q' to quit the application.

Troubleshooting

Ensure that you have the required version of Python and FFMPEG installed. If you encounter any issues, feel free to create an issue on this repository.

Happy transcribing!

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