An AI-powered tool that converts lecture audio into organized, readable notes.
Built with Python, Streamlit, and OpenAI Whisper API.
A simple tool that converts lecture audio into text notes. Upload your lecture recording, and the app generates a readable transcript.
- Converts lecture audio (
.wavor.mp3) to text. - Summarizes the transcript into notes.
- Allows you to view or save the notes.
- Clone the repository:
git clone https://github.com/your-username/lecture-voice-to-notes-generator.git
cd lecture-voice-to-notes-generator
Create a virtual environment:
bash
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python -m venv venv
# Activate:
# Windows
venv\Scripts\activate
# Linux/Mac
source venv/bin/activate
Install dependencies:
bash
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pip install -r requirements.txt
Add your OpenAI API key in a .env file:
env
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OPENAI_API_KEY="your_api_key_here"
Run the app:
bash
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streamlit run app.py
Open the link shown in the terminal (usually http://localhost:8501) and upload your lecture audio to get notes.