Update README.md

README.md

@@ -1,58 +1,62 @@
 ---
-title: GPTo1
+title: llamalogic
 emoji: 🌍
 colorFrom: red
 colorTo: yellow
 sdk: streamlit
-sdk_version: 1.39.0
+sdk_version: 1.38.0
 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.
+This Hugging Face Space demonstrates the use of Llama-3.1 70b on Groq to create o1-like reasoning chains,  aiming to improve output accuracy in AI-generated responses.
 
-## Important Note
+## Important: Private Use Required
 
-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.
+For security reasons, it is required to use this space privately. This ensures that your Groq API key remains secure when entered in the interface.
 
 ## How to Use This Space
 
-1. Duplicate this space:
+1. Duplicate this space as a private 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".
+   - Choose a name for your duplicated space.
+   - Important: Set the visibility to "Private" to ensure the security of your API key.
+     This is crucial because you'll be entering your API key in the interface.
+   - Click "Duplicate Space".
+
+   Note: Setting the space to private is essential for protecting your Groq API key. 
+   In a public space, there's a risk of exposing your API key to others.
 
 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".
+   - Once you've duplicated the space, go to the "App" tab.
+   - You'll see a text input field where you can enter your Groq API key.
+   - Enter your API key and click the "Submit API Key" button.
 
-3. Rebuild the space:
-   - After adding the API key, go to the "Factory" tab.
-   - Click on "Rebuild Space".
+3. Use the app:
+   - After submitting your API key, you should see the interface where you can enter queries and get responses.
 
-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 on API Key Security
 
-## Note
+- Never share your Groq API key or make it public.
+- If you accidentally expose your API key, regenerate a new one immediately from your Groq account.
+- Make sure to keep your API key confidential. Each person should use their own Groq API key when using this space.
 
-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.
+## About This Project
 
-## Original Project
+This Hugging Face Space is a collaborative project worked on with Alisher Farhadi (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.
 
-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:
+## Features
 
-https://github.com/bklieger-groq/g1
+- Uses Llama-3.1 70b model via Groq API
+- Implements o1-like reasoning chains for improved accuracy
+- Provides step-by-step explanations of the reasoning process
 
-## Acknowledgments
+## Limitations
 
-- 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).
+- This is an early prototype and accuracy has not been formally evaluated.
+- Performance may vary depending on the complexity of the query.
 
 ## Contributing
 
@@ -62,6 +66,12 @@ If you'd like to contribute to this project, please consider contributing to the
 
 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.
 
+## 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).
+- Powered by Groq for fast reasoning steps.
+
 ## Configuration Reference
 
 For more information about the Hugging Face Spaces configuration, please refer to: