groqnotes

groqnotes

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

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Groqnotes is a streamlit app that helps users generate organized lecture notes from transcribed audio using Groq's Whisper API. It utilizes Llama3-8b and Llama3-70b models to structure and create content quickly. The app offers markdown styling for aesthetic notes, allows downloading notes as text or PDF files, and strategically switches between models for speed and quality balance. Users can access the hosted version at groqnotes.streamlit.app or run it locally with streamlit by setting up the Groq API key and installing dependencies.

README:


Generate Organizes Notes with GroqNotes

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

Overview β€’ Features β€’ Quickstart β€’ Contributing


Demo of GroqNotes

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

Overview

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.

Features

  • 🎧 Generate structured notes using transcribed audio by Whisper-large and text by Llama3
  • ⚑ Lightning fast speed transcribing audio and generating text using Groq
  • πŸ“– Scaffolded prompting strategically switches between Llama3-70b and Llama3-8b to balance speed and quality
  • πŸ–ŠοΈ Markdown styling creates aesthetic notes on the streamlit app that can include tables and code
  • πŸ“‚ 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!

One-Click Deployment

Deploy to RepoCloud

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

πŸ“– Scaffolded prompting strategically switches between Llama3-70b and Llama3-8b to balance speed and quality

πŸ–ŠοΈ Markdown styling creates aesthetic notes on the streamlit app that can include tables and code

πŸ“‚ 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

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