Lecture Summarizer

Description

Tkinter application to record text with openai-whisper, extract keyword from transcription with sklearn's TF-IDF and generate notes with gguf llm model

Requirements

Python 3.10.12 pip 24.0

Installation

Running Locally

Clone the repository:

git clone https://github.com/JRoshthen1/LectureSummarizer.git

Navigate to the project directory:

cd LectureSummarizer/

Install dependencies:

pip install -r requirements.txt

Usage

Contributing

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.

License

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/.

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