💬 Azure OpenAI Documentation Chatbot

This is a Generative AI-powered chatbot application built with Azure OpenAI, FastAPI, Streamlit, and Azure Cognitive Search. It allows users to ask questions related to Azure OpenAI based on the official Microsoft documentation.

📌 Features

• ✅ Natural language question answering
• ✅ Powered by GPT-4o via Azure OpenAI
• ✅ Uses Azure AI Search to retrieve relevant sections from Azure OpenAI docs
• ✅ Built-in short-term session history (Streamlit)
• ✅ Modular backend using FastAPI
• ✅ Clean and styled UI with Streamlit

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🗂️ Project Structure

chatbot/
├── backend/               # FastAPI backend
│   ├── main.py
│   ├── routers/
│   └── services/
├── frontend/              # Streamlit frontend
│   ├── app.py
│   └── components/
├── shared/                # Shared utilities
│   ├── config.py
│   └── utils.py
├── .env                   # Your secrets (excluded from Git)
├── .env.sample            # Sample environment config
├── requirements.txt       # Python dependencies
└── README.md

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🚀 Getting Started

1. Clone the repo

git clone https://github.com/your-username/chatbot.git
cd chatbot

2. Create & activate a virtual environment

python -m venv venv
source venv/bin/activate       # macOS/Linux
# OR
venv\Scripts\activate          # Windows

3. Install dependencies

pip install -r requirements.txt

4. Configure environment

Create a .env file using the provided .env.sample:

cp .env.sample .env

Add your Azure OpenAI, Search, and Blob credentials in the .env file.

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🧪 Running the Application

Start the backend (FastAPI)

uvicorn backend.main:app --reload --port 8000

Start the frontend (Streamlit)

streamlit run frontend/app.py

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🔍 Use Case

This chatbot is designed to:

• Help users navigate Azure OpenAI documentation
• Provide instant answers to queries like:
  • “What is the model availability per region”
  • “What is the latest REST API for the Azure OpenAI?”

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📦 Technologies Used

• Azure OpenAI Service
• Azure AI Search
• FastAPI
• Streamlit
• Python

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📄 License

MIT