Step-by-step guide to building a Llama 2 chatbot using Python, Streamlit for the frontend, and the Replicate API for LLM inference. Covers getting a Replicate API token, setting up the environment, writing ~77 lines of Python code to handle chat history and streaming responses, configuring model parameters (temperature, top_p, max_length), and deploying to Streamlit Community Cloud.
Table of contents
Experiment with this open-source LLM from MetaWhat is Llama 2?App overview1. Get a Replicate API token2. Set up the coding environment3. Build the appGet Chanin Nantasenamat ’s stories in your inboxAccept prompt inputGenerate a new LLM response4. Set the API tokenOption 2. Set the API token in the app5. Deploy the appWrapping up28 Impressions