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A personal implementation of: How to build an LLM-powered ChatBot with Streamlit A step-by-step guide using the unofficial HuggingChat API (no APIs required)
Posted in LLMs, May 10 2023 Hey, Streamlit-ers! 👋
My name is Chanin Nantasenamat, PhD. I’m working as a Senior Developer Advocate creating educational content on building Streamlit data apps. In my spare time, I love to create coding and data science tutorials on my YouTube channel, Data Professor.
Are you looking to build an AI-powered chatbot using LLM models but without the heavy API cost? If you answered yes, then keep reading!
You’ll build a chatbot that can generate responses to the user-provided prompt input (i.e., questions) using an open-source, no-cost LLM model OpenAssistant/oasst-sft-6-llama-30b-xor 1 from the unofficial HuggingChat API known as HugChat 2. You’ll deploy the chatbot as a Streamlit app that can be shared with the world!
In this post, you’ll learn how to:
- Set up the app on the Streamlit Community Cloud
- Build the chatbot
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