This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.

Streamlit Component, for a Chatbot UI

FigmaChain is a set of Python scripts that generate HTML/CSS code based on Figma designs. Using OpenAI's GPT-3 model, FigmaChain enables developers to quickly generate HTML/CSS code from a Figma design input. It also includes a Streamlit-based chatbot interface for interactive code generation.

AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡

Examples of chatbot implementations with Langchain and Streamlit

A chatbot implementation compatible with MCP (terminal / streamlit supported)

Gemini PDF Chatbot: A Streamlit-based application powered by the Gemini conversational AI model. Upload multiple PDF files, extract text, and engage in natural language conversations to receive detailed responses based on the document context. Enhance your interaction with PDF documents using this intuitive and intelligent chatbot.

Build a chatbot powered by LlamaIndex that augments GPT 3.5 with the contents of the Streamlit docs (or your own data).

A chatbot 🤖 which remembers 🧠 using 🦜 LangChain 🔗 OpenAI | Streamlit | DataButton

An LLM-powered Streamlit chatbot for data exploration and question answering on Snowflake

Build a Streamlit Chatbot using Langchain, ColBERT, Ragatouille, and ChromaDB

PDF based Chatbot using streamlit LangChain & OpenAI.

The HugChat Streamlit app is an LLM-powered chatbot built using Streamlit and HugChat.

A simple and clear example for implement a chatbot with Bedrock (Claude, Nova and DeepSeek) + LangChain + Streamlit.

RAG-powered chatbot for Semantic SEO Q&A — GPT-3.5 + Pinecone + Streamlit

In this tutorial, learn to build a smart Medical Chatbot using open-source tools. We'll use HuggingFace for embeddings, Faiss CPU for vector storage, and Mistral with Streamlit for a conversational interface. Follow step-by-step guidance to create an efficient chatbot with no prior experience needed. Dive into conversational AI and healthcare!

This project is a Streamlit-based chat application that interacts with the Gemini AI model, allowing users to engage in conversations with an artificial intelligence assistant. The application stores chat history, allowing users to revisit and continue previous conversations.

Example for Deploying Chatbot using Streamlit and Azure Web App

Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.

In this tutorial we will learn how to create a powerful AI chatbot using LangGraph, FastAPI, and Streamlit.Learn to define a FastAPI backend endpoint for processing requests, integrate LangGraph agents with dynamic model selection, and design an intuitive Streamlit UI for seamless user interaction.

A Mental Health Support Chatbot built using Streamlit and OpenAI's GPT-3.5-turbo model. It provides mental health support through a chat interface, offering sentiment analysis, mood tracking, and personalized coping strategies based on user input.

A conversational chatbot built in Python using Streamlit and the OpenAI LLM model GPT 3.5.

Build a simple RAG chatbot with LangChain and Streamlit

An interactive AI chatbot for querying and discussing the contents of PDF documents using Streamlit and OpenAI/other AI language models.

A private AI chatbot platform where users can upload real chat history and recreate bots that mimic their friends' personalities. Built using Streamlit + FAISS + Mistral via Ollama.

This is a fun Python project that allows you to chat with a chatbot about the PDF you uploaded. and generate a PDF transcript of the conversation. The project is built using Python and Streamlit framework.

AI Chatbot with Streamlit, Langchain, and Mistral7b

A health assistant chatbot built with Streamlit

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OpenAI API _ Chatbot implementation