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Building Gradio Demos with Llama #44
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Hey @Zhreyu Thanks for taking this up! The suggestion looks terrific and we are very keen on seeing what you build. My two cents:
I would also like my colleagues to comment on this. CC: @Vaibhavs10 @osanseviero |
Thank you for your valuable feedback! I completely agree with your suggestions and will begin by creating the As advised, I'll separate the RAG implementation from this issue to keep things organized. After completing the initial five demos, I also intend to explore incorporating more demos, especially the Llama 3.2 vision model for vision-based use cases. Please do suggest any specific use cases or demos you'd like to see. If everything looks good, I'll get started on this right away! :) |
Hi @Zhreyu Would you be open to collaborate? I would love to contribute to the issue |
Sure! Let's connect! |
Hey @Zhreyu Are you looking for more collaborators?? I would love to be a part of this project. |
Would it be possible for me to contribute by adding new use cases to the gradio_demos ? @ariG23498 |
I would love to see you all collaborate on a single PR together, and then if need be increase the number of gradio demos later. How does that sound? |
That sounds great! I'll wait for your guidance on how to work on the PR together. @ariG23498 |
* Adding Gradio Demos * Updated README, Added descriptions, changed chatbot interface * Update gradio_demos/README.md Co-authored-by: Aritra Roy Gosthipaty <[email protected]> * Update gradio_demos/README.md Co-authored-by: Aritra Roy Gosthipaty <[email protected]> * Removed other demos, updated system_prompts for specific tasks, updated README * Updated README * Updated README, chatbot_demo * Update README.md * Simplify Chatbot Demo notebook and remove gradio_demos/README.md * Added screenshot, refactored code and cell descriptions * Refactor chat history handling for direct Gradio compatibility * Synced README.md with upstream * Synced README.md with upstream * Remove screenshot from README * Adding Gradio demo as a Python Script * Add demo screenshot to assets * Update path to screenshot in notebook --------- Co-authored-by: Srinjoy <[email protected]> Co-authored-by: Aritra Roy Gosthipaty <[email protected]> Co-authored-by: Srinjoy Dutta <[email protected]>
Hello!,
I came across the Open Call for Contributions to the LLaMA Recipes Repository and I'm excited to contribute!
Projects of Interest:
Create a Gradio Demo with Llama
Implement Retrieval Augmented Generation with Llama
Proposal:
I aim to develop several Gradio demos to demonstrate the functionality of Llama models, making it easier for users to interact with and explore Llama’s capabilities in a user-friendly interface.
Approach:
Firstly; Implement interactive Gradio interfaces to showcase different use cases, such as text generation, summarization, etc.
Then; Focus on creating easy-to-use demos that help the community experiment with the Llama models.
After setting up the basic demos, the next phase would involve adding RAG functionality for more advanced use cases.
Future Prospects:
Integrate Retrieval Augmented Generation (RAG): After completing the Gradio demos, I plan to integrate these demos with RAG features in future updates.
I’m excited to hear your thoughts and suggestions!
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