Build a Powerful Streamlit Chatbot with LangChain, Ollama, and OpenAI
Build a Powerful Chatbot with Streamlit, LangChain, Ollama, and OpenAI
Welcome to Just Code It! In this episode, we’ll walk you through building a chatbot from scratch using Streamlit, LangChain, Ollama, and OpenAI chat models.
Follow along as we:
✅ Set up the environment and configure essential variables
✅ Organize and streamline the page layout for easier navigation
✅ Create a dynamic sidebar for model selection and caching
✅ Build chat functionality to display human and AI-generated messages
✅ Implement user input handling and real-time response streaming
By the end of this tutorial, you’ll have a fully functional chatbot that can toggle between multiple AI models. Plus, you’ll gain the foundational skills to add advanced features like RAG (Retrieval-Augmented Generation) components in future upgrades.
⏰ Video Chapters
00:00 Introduction and Overview
00:23 Setting Up the Environment
01:40 Configuring the Sidebar
03:37 Creating the Chat Model
04:19 Displaying Chat Messages
06:37 Handling User Input
09:09 Streaming Responses
10:20 Final Touches and Testing
11:27 Conclusion and Next Steps
🛠️ Resources & Links
🔗 Source Code: https://github.com/jamesbmour/blog_tu...
🔗 More Streamlit Tutorials: / @justcodeit77
🍻 Support My Work: https://buymeacoffee.com/bmours
💡 Tags
#python #streamlit #chatbots #AI #LangChain #OpenAI #webappdevelopment #interactiveapps #codingtutorial #webdevelopment #coding #langchain #openai #ollama