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ScribeWizard: Generate organized notes from audio using Groq, Whisper, and Llama3
| Date | Stars |
|---|---|
| 2026-07-24 | 505 |
| 2026-07-25 | 505 |
| 2026-07-28 | 504 |
| 2026-07-30 | 505 |
| 2026-08-06 | 505 |
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<h2 align="center"> <br> <img src="https://i.imgur.com/scoiUgD.png" alt="Generate Organizes Notes with ScribeWizard" width="150"> <br> <br> ScribeWizard: Generate organized notes from audio<br>using Groq, Whisper, and Llama <br> </h2> <p align="center"> <a href="https://github.com/bklieger/scribewizard/stargazers"><img src="https://img.shields.io/github/stars/bklieger/scribewizard"></a> <a href="https://github.com/bklieger/scribewizard/blob/main/LICENSE.md"> <img src="https://img.shields.io/badge/License-MIT-green.svg"> </a> </p> <p align="center"> <a href="#Overview">Overview</a> • <a href="#Features">Features</a> • <a href="#Quickstart">Quickstart</a> • <a href="#Contributing">Contributing</a> </p> <br> [Demo of ScribeWizard](https://github.com/user-attachments/assets/c222bea0-3784-4f06-b431-ef81eea5691d) > Demo of ScribeWizard fast transcription of audio and generation of structured notes ## Overview ScribeWizard 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 Llama 4 Scout and Llama 4 Maverick, 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 Llama - ⚡ Lightning fast speed transcribing audio and generating text using Groq - 📖 Scaffolded prompting strategically switches between Llama 4 Maverick and Llama 4 Scout 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](examples/transformers_explained/generated_notes.pdf) | https://www.youtube.com/watch?v=SZorAJ4I-sA | | [The Essence of Calculus by 3Blue1Brown](examples/essence_calculus/generated_notes.pdf) | https://www.youtube.com/watch?v=WUvTyaaNkzM | > As with all generative AI, content may include inaccurate or placeholder information. ScribeWizard is in beta and all feedback is welcome! --- ## Quickstart > [!IMPORTANT] > To use ScribeWizard, you can use a hosted version at [scribewizard.streamlit.app](https://scribewizard.streamlit.app). > Alternatively, you can run ScribeWizard locally with Streamlit using the quickstart instructions. ### Hosted on Streamlit: To use ScribeWizard, you can use the hosted version at [scribewizard.streamlit.app](https://scribewizard.streamlit.app) ### Run locally: Alternative, you can run ScribeWizard 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 - Llama on Groq Cloud - Whisper-large on Groq Cloud ### Limitations ScribeWizard may generate inaccurate information or placeholder content. It should be used to generate notes for entertainment purposes only. ## Contributing Improvements thr
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matched fp:c8a51aa8aa3eaf0a, topic:whisper, readme:transcription