A well-organized collection of LangChain examples with proper deployment configuration.

langchain-tutorial/
├── 📚 docs/                    # Documentation
│   ├── README.md              # Detailed project documentation
│   └── DEPLOYMENT.md          # Firebase deployment guide
│
├── 🐍 src/                     # Source code
│   ├── chat_model_basic.py    # Basic LangChain example
│   └── chat_mode_conversation.py # Streamlit chatbot
│
├── 🚀 deployment/              # Deployment configuration
│   ├── Dockerfile             # Container configuration
│   ├── .dockerignore          # Docker ignore rules
│   ├── firebase.json          # Firebase hosting config
│   └── requirements.txt       # Python dependencies
│
├── 📜 scripts/                 # Automation scripts
│   └── deploy.sh              # Automated deployment script
│
├── 🌐 public/                  # Static web assets
│   └── index.html             # Loading page
│
├── ⚙️ config/                  # Configuration files
│   └── .env.example           # Environment variables template
│
└── .env                       # Environment variables (create this)

# Copy environment template
cp config/.env.example .env

# Edit .env with your API keys
nano .env

# Activate conda environment
conda activate your-env-name

# Install packages
pip install -r deployment/requirements.txt

# Basic example
python src/chat_model_basic.py

# Streamlit chatbot
streamlit run src/chat_mode_conversation.py

# Run automated deployment
./scripts/deploy.sh

• Project Documentation - Detailed setup and usage guide
• Deployment Guide - Firebase deployment instructions

Basic Chat Model:

cd src/
python chat_model_basic.py

Interactive Chatbot:

streamlit run src/chat_mode_conversation.py

Docker Build:

docker build -f deployment/Dockerfile -t langchain-chatbot .
docker run -p 8080:8080 --env-file .env langchain-chatbot

Firebase Emulator:

firebase emulators:start --only hosting

Create a .env file in the project root:

# Required
OPENAI_API_KEY=your_openai_api_key_here

# Optional (for LangSmith tracing)
LANGCHAIN_API_KEY=your_langchain_api_key_here
LANGCHAIN_TRACING_V2=true

Your Firebase project: chatbotbasic-b9085

• 🔗 Basic LangChain Integration - Simple OpenAI API usage
• 💬 Interactive Streamlit Chatbot - Full conversation interface
• 🧠 Memory Management - Conversation context preservation
• ⚙️ Configurable Models - Multiple GPT model support

• 🐳 Docker Containerization - Production-ready containers
• ☁️ Google Cloud Run - Scalable serverless deployment
• 🌐 Firebase Hosting - Global CDN and SSL
• 🔐 Secure Configuration - Environment variable management

• 📁 Organized Structure - Clean separation of concerns
• 📚 Comprehensive Docs - Step-by-step guides
• 🤖 Automated Scripts - One-command deployment
• 🔧 Local Development - Easy testing and debugging

After deployment, your chatbot will be available at:

• Production: https://chatbotbasic-b9085.firebaseapp.com

1. Fork the repository
2. Create a feature branch
3. Add your example with proper documentation
4. Update the README if needed
5. Submit a pull request

This project is for educational purposes. Please ensure you comply with OpenAI's usage policies.

Built with ❤️ using LangChain, OpenAI, and Streamlit

🚀 Happy coding!