Abbas-Asad/data-retrieval-agent

Data Retrieval Agent

A professional product analysis assistant that helps users explore and compare e-commerce products. The agent can fetch real-time product data from APIs and perform web searches to provide detailed product information.

Features

• —🔍 Real-time product data fetching from APIs
• —🔎 Web search capabilities using DuckDuckGo
• —📊 Structured product information display
• —⏰ Timestamp-based data freshness
• —💬 Interactive chat interface

Environment Variables

The following environment variables need to be set:

• —GEMINI_API_KEY: Your Gemini API key for the language model

Local Development

1. 1.Clone the repository
2. 2.Create a .env file with your GEMINI_API_KEY
3. 3.Install dependencies:

   pip install -r requirements.txt

1. 1.Run the application:

   chainlit run app.py

Deployment

This application is configured for deployment on Hugging Face Spaces using Docker. The Dockerfile is included in the repository.

Usage

1. 1.Start a chat session
2. 2.Provide either:
3. 3.A product API URL to fetch details
4. 4.A product description to search online
5. 5.The agent will analyze and present the information in a structured format

License

MIT License