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A newer version of the Streamlit SDK is available: 1.42.2

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metadata
title: GPTo1
emoji: 🌍
colorFrom: red
colorTo: yellow
sdk: streamlit
sdk_version: 1.39.0
app_file: app.py
pinned: false

GPTo1: Llama-3.1 70b on Groq for o1-like Reasoning Chains

This Hugging Face Space demonstrates the use of Llama-3.1 70b on Groq to create o1-like reasoning chains, improving output accuracy in AI-generated responses.

Important Note

This Hugging Face Space is a collaborative project worked on with Alisher (https://github.com/afarhadi99), based on the g1 project created by bklieger-groq. The original GitHub repository can be found at https://github.com/bklieger-groq/g1. We have adapted it for use as a Hugging Face Space and potentially added some additional features.

How to Use This Space

  1. Duplicate this space:

    • Click on the "Duplicate this Space" button at the top right of the page.
    • Choose a name for your duplicated space and click "Duplicate Space".

  2. Set up your Groq API key:

    • In your duplicated space, go to the "Settings" tab.
    • Scroll down to the "Repository secrets" section.
    • Click on "New secret".
    • Set the secret name as GROQ_API_KEY.
    • Paste your Groq API key as the value.
    • Click "Add secret".

  3. Rebuild the space:

    • After adding the API key, go to the "Factory" tab.
    • Click on "Rebuild Space".

  4. Use the app:

    • Once the rebuild is complete, go to the "App" tab.
    • You should now see the interface where you can enter queries and get responses.

Note

Make sure to keep your API key confidential and do not share it with others. Each person should use their own Groq API key when duplicating this space.

Original Project

This Hugging Face Space is based on the g1 project. For more information, updates, or to contribute to the original project, please visit the GitHub repository:

https://github.com/bklieger-groq/g1

Acknowledgments

  • Special thanks to bklieger-groq for creating the original g1 project that serves as the foundation for this Hugging Face Space.
  • This Hugging Face adaptation is a collaborative effort with Alisher Farhadi (https://github.com/afarhadi99).

Contributing

If you'd like to contribute to this project, please consider contributing to the original GitHub repository. You can submit pull requests or open issues there.

License

This project is open source and available under the license specified in the original GitHub repository. Please refer to the repository for the most up-to-date license information.

Configuration Reference

For more information about the Hugging Face Spaces configuration, please refer to: https://huggingface.co/docs/hub/spaces-config-reference