Groqnotes: Generate organized notes from audio using Groq, Whisper, and Llama3

Groqnotes is a streamlit app that scaffolds the creation of structured lecture notes by iteratively parsing 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.

groqnotes_demo_jun20_100.mov

Demo of Groqnotes fast transcription of audio and generation of structured notes

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

Example Generated Notes:

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!

Quickstart

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.

Hosted on Streamlit:

To use Groqnotes, you can use the hosted version at groqnotes.streamlit.app

Hosted on Replit:

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

Run locally:

Alternative, you can run groqnotes locally with streamlit.

Step 1

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.

Step 2

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

Step 3

Finally, you can run the streamlit app.

python3 -m streamlit run main.py

Details

Technologies

Streamlit
Llama3 on Groq Cloud
Whisper-large on Groq Cloud

Limitations

Groqnotes may generate inaccurate information or placeholder content. It should be used to generate notes for entertainment purposes only.

Contributing

Improvements through PRs are welcome!

Changelog

v0.1.0

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

Future Features:

Create summary version of transcript, batching into sections of n characters.
Allow upload of multiple audio files

gentonje / groqnotes Goto Github PK

groqnotes's Introduction