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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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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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