This repository provides starter examples for building Large Language Model (LLM) applications using Streamlit. It targets developers and researchers looking for quick, functional demonstrations of common LLM use cases like chatbots, file Q&A, and internet-connected interactions. The primary benefit is rapid prototyping and learning for LLM app development.

How It Works

The examples leverage Streamlit for interactive UI creation and integrate with LLM frameworks like LangChain. This approach allows developers to quickly build and deploy interactive demos without extensive frontend coding, focusing instead on LLM logic and prompt engineering.

Quick Start & Requirements

• Install dependencies: pip install -r requirements.txt
• Run locally: streamlit run Chatbot.py
• Prerequisites: OpenAI API key.
• Setup: Requires Python environment and an OpenAI API key configured as an environment variable.

Highlighted Details

• Demonstrates common LLM patterns: Chatbot, File Q&A, Internet Search integration.
• Includes LangChain Quickstart and PromptTemplate examples.
• Provides instructions for setting API keys in Streamlit Community Cloud.

Maintenance & Community

This is an official Streamlit repository, indicating potential for active maintenance and community support through Streamlit's broader ecosystem.

Licensing & Compatibility

The repository is not explicitly licensed in the provided README. Compatibility for commercial use or closed-source linking is undetermined without a license.

Limitations & Caveats

The examples are focused on demonstrating specific LLM functionalities and may require significant modification for production use. The README does not specify a license, which could impact commercial adoption.