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Demo for a simple streamlit chatbot using MCP and Langchain

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Q&A Chatbot Demo using Couchbase, LangChain, OpenAI and Streamlit

Develop accessible ChatBot with Azure OpenAI and Streamlit

streamlit chatbot demo

Streamlit-based chatbot demo with support for AI/LLM responses, customizable UI, and fast deployment.

This repo is a demo showcase of Streamlit ChatGPT Clone

Simple Streamlit chatbot demo (no API)

Chatbot code in python and Streamlit to demo a ChatBot

Chatta: A simple chatbot demo with ollama and streamlit

Demo hospital system LLM chatbot using RAG, Neo4j and Streamlit

Lightweight chatbot with Streamlit & Claude AI | Docker-ready | Demo: https://ai.geekie.site

Chatbot Demo using Streamlit to enrich your days with fun informations from AI Model.

chatbot, ai, health, streamlit, python, gemini, openai, gpt, nlp, intent-classification, machine-learning, healthcare, turkish, demo, comparison

🤖 ChatBot-AI (Medibot): AI medical chatbot using Streamlit, LangChain, FAISS & Groq LLM. Answers queries from PDF-based knowledge using RAG. Built for learning and demo purposes. Credits: AIwithHassan (GitHub).

Retrieval-Augmented Generation (RAG) chatbot assistant demo using LangChain, FAISS, OpenAI, Flask, Streamlit, and Docker. Multi-turn conversational Q&A over domain-specific documents.

The "AI-Bootcamp-Gemini-Chatbot-Training" repository is designed for training chatbots, featuring a mix of Python scripts (main.py, function_calling.py), a Jupyter Notebook (demo.ipynb), and a Streamlit UI (streamlit_ui.py). It also includes a presentation on AI chatbots, configuration files, and a requirements list, making it a comprehensive repo

Text-to-SQL portfolio demo: Streamlit chatbot that turns French questions into safe Spark SQL (OpenAI) and queries a Databricks SQL Warehouse (star schema + guardrails + logging).

A Streamlit-powered chatbot demo using LangGraph, LangChain, and OpenAI. Features agent memory, tool integration (Tavily search), and session management for interactive research and assistant tasks.

🤖 AI-powered RAG chatbot that lets you upload any PDF and chat with it using LangChain, Pinecone, and OpenAI. Built with Python + Streamlit. Live demo available.

This repository contains a demo application that uses Langchain and Streamlit to create an interactive chatbot capable of answering questions based on the content of uploaded PDF files.

A Retrieval-Augmented Generation (RAG) chatbot built with LangChain, ChromaDB, and LM Studio. Uses local LLMs (Mistral-7B) with a Streamlit UI. Includes League of Legends knowledge base as demo data.

Emotion-Aware Chatbot is a lightweight, browser-based AI chatbot built with Streamlit that detects user emotions and generates context-aware responses. Ideal for demos, learning projects, and showcasing AI capabilities, it combines facial emotion recognition with natural language processing to create more empathetic and engaging interactions.

This repository contains a script to demonstrate a Change Data Capture (CDC) from an AS400 system to Pinecone, using Popsink's platform. It includes a GenAI application demo with a chatbot interface built with Streamlit.

Interactive chatbot demo using NVIDIA Triton Inference Server, FastAPI, and Streamlit. User queries from a web UI are sent to a deployed LLM via FastAPI, enabling real-time conversational AI in a modular, research-friendly setup.

A lightweight Streamlit-based AI SaaS prototype that transforms any FAQ dataset (CSV or URL) into an interactive customer support chatbot — no API keys required. Built for the Pipelex × BlackboxAI Hackathon, this demo showcases how structured FAQs can power intelligent, context-aware question answering.

I demonstrated how to build and deploy an end-to-end AI Agent Chatbot using Docker, LangGraph, FastAPI, and Streamlit UI. From Docker basics to key concepts like images, containers, and port binding, I walk through the GenAI app demo, code explanations, and deployment steps, including pushing to Docker Hub and running locally

demo_streamlit_chatbot

Demo Streamlit Chatbot