Tkinter application to record text with openai-whisper, extract keywords from transcription with sklearn's TF-IDF and generate notes with gguf llm model
Python 3.10.12 pip 24.0
Clone the repository:
git clone https://github.com/JRoshthen1/LectureSummarizer.git
Navigate to the project directory:
cd LectureSummarizer/
Install dependencies:
pip install tkinter sounddevice soundfile numpy openai-whisper torch scikit-learn nltk llama-cpp-python
-
Create
recordings
directory in the root of the application (./recordings/) -
Download a gguf model for text generation, examples
-
Run the app
python3 main.py
- Start by forking the repository.
- Create a branch in your fork for your contributions.
- Commit your changes with clear commit messages.
- Push your branch to your fork on GitHub and submit a pull request to the main project.
Lecture Summary Bot Copyright (C) 2024 Martin Jaros
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.