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Build a Basketball SMS Chatbot with LangChain Prompt Templates in Python

Blog post from Twilio

Post Details
Company
Date Published
Author
Lizzie Siegle
Word Count
2,028
Company Posts That Month
58
Language
English
Hacker News Points
-
Post removed?
No
Summary

A developer is creating an SMS chatbot using LangChain Prompt Templates, OpenAI, Twilio Programmable Messaging, and Python. The chatbot will respond to user queries about the NBA team Warriors using a template that shapes the queries and answers from the LLM. The project requires setting up an OpenAI account, installing necessary Python packages, configuring ngrok for the Flask application, and creating a .env file with the API key. The code uses Flask, Twilio, and LangChain to build the chatbot, which can be run on a local machine using ngrok. The developer can now text their Twilio number to interact with the chatbot.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 18 1,416 172 75 +112%
AI Model Fine-tuning 3 169 75 54 -
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