Overview • Features • Quickstart • Contributing
groqnotes_demo_jun20_100.mov
Demo of GroqNotes fast transcription of audio and generation of structured notes
GroqNotes is a streamlit app that scaffolds the creation of structured lecture notes by iteratively structuring and generating notes from transcribed audio lectures using Groq's Whisper API. The app mixes Llama3-8b and Llama3-70b, utilizing the larger model for generating the notes structure and the faster of the two for creating the content.
- 🎧 Generate structured notes using transcribed audio by Whisper-large and text by Llama3
- ⚡ Lightning fast speed transcribing audio and generating text using Groq
- 📖 Scaffolded prompting strategically switches between Llama3-70b and Llama3-8b to balance speed and quality
- 🖊️ Markdown styling creates aesthetic notes on the streamlit app that can include tables and code
- 📂 Allows user to download a text or PDF file with the entire notes contents
| Example | Youtube Link |
|---|---|
| Transformers Explained by Google Cloud Tech | https://www.youtube.com/watch?v=SZorAJ4I-sA |
| The Essence of Calculus by 3Blue1Brown | https://www.youtube.com/watch?v=WUvTyaaNkzM |
As with all generative AI, content may include inaccurate or placeholder information. GroqNotes is in beta and all feedback is welcome!
Important
To use GroqNotes, you can use a hosted version at groqnotes.streamlit.app or groqnotes.replit.app. Alternatively, you can run GroqNotes locally with Streamlit using the quickstart instructions.
To use GroqNotes, you can use the hosted version at groqnotes.streamlit.app
You can also use the hosted version on replit at groqnotes.replit.app
The project can be forked on replit here: replit.com/@bklieger/groqnotes
Alternative, you can run GroqNotes locally with streamlit.
First, you can set your Groq API key in the environment variables:
export GROQ_API_KEY="gsk_yA..."
This is an optional step that allows you to skip setting the Groq API key later in the streamlit app.
Next, you can set up a virtual environment and install the dependencies.
python3 -m venv venv
source venv/bin/activate
pip3 install -r requirements.txt
Finally, you can run the streamlit app.
python3 -m streamlit run main.py
- Streamlit
- Llama3 on Groq Cloud
- Whisper-large on Groq Cloud
GroqNotes may generate inaccurate information or placeholder content. It should be used to generate notes for entertainment purposes only.
Improvements through PRs are welcome!
This release is an initial release of the application codebase. It includes the following features:
🎧 Generate structured notes using transcribed audio by Whisper-large and text by Llama3
⚡ Lightning fast speed transcribing audio and generating text using Groq
📖 Scaffolded prompting strategically switches between Llama3-70b and Llama3-8b to balance speed and quality
🖊️ Markdown styling creates aesthetic notes on the streamlit app that can include tables and code
📂 Allows user to download a text or PDF file with the entire notes contents
- Create summary version of transcript, batching into sections of n characters.
- Allow upload of multiple audio files