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A basic TUI for transcribing audio to your clipboard using OpenAI's whisper models.
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.
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).
# 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
# 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
Start the program using
python transcribe.py
After starting the program, you will see a prompt ('>').
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!
FAQs
A basic TUI for transcribing audio to your clipboard using OpenAI's whisper models.
We found that whisper-clipboard demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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