Creating an LLM Chat Application (10.4)

This video focuses on building a chatbot using Streamlit for generative AI applications. It demonstrates how to integrate a language model into a Streamlit app to create an interactive chatbot interface. The video covers key elements such as handling user input, generating AI responses, and maintaining conversation context with Streamlit's session state, offering a practical guide for deploying conversational AI in a web application. Code for This Video: https://github.com/jeffheaton/app_generative_ai/blob/main/t81_559_class_10_4_chat.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook - Coming soon 😸🐙 GitHub - https://github.com/jeffheaton/app_generative_ai ▶️ Play List - https://www.youtube.com/watch?v=FBmUxUt__rM&list=PLjy4p-07OYzui0nVZzMgoLBeXjG9Oy3hi&ab_channel=JeffHeaton ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.heatonresearch.com/ 🐦 Twitter - https://twitter.com/jeffheaton 😸🐙 GitHub - https://github.com/jeffheaton 📸 Instagram - https://www.instagram.com/jeffheatondotcom/ 🦾 Discord: https://discord.gg/3bjthYv ▶️ Subscribe: https://www.youtube.com/c/heatonresearch?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/jeffheaton 🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #Streamlit #GenerativeAI #Chatbot #Python #AIApplications #WebApps #MachineLearning #AI #DataScience #InteractiveApps #SessionState #PythonProgramming #T81559 #WebDevelopment