You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A Streamlit app that lets you chat with your PDF documents. Upload a PDF, ask questions, and get accurate answers using open-source HuggingFace and Llama Index models. Perfect for quickly extracting information from your documents.
RepoGenius aims to create a distributed system that, starting from a GitHub link or certain parameters, performs an analysis on the reference repository based on elements such as code, language or files
This repository contains a real-time chatbot app using Groq's API and various LLMs. Built with Streamlit, it provides an interactive interface to select and chat with different models. Users can easily set up and run the chatbot locally.
The Pictionary app uses LLaMA 3.1 to generate random drawing prompts and LLaMA 3.2 Vision to predict and judge user drawings based on these prompts. It provides an interactive and fun way to test your drawing skills within a set time limit.
This project is a search-powered AI chatbot built with Streamlit and LangChain, designed to retrieve information from multiple sources like Wikipedia, Arxiv, and DuckDuckGo. It leverages LangChain's agent framework and Groq API for real-time, intelligent responses.