Documentation Chatbot

This is a Documentation Chatbot built with Streamlit and Google Generative AI. It helps users query specific documentation datasets and provides responses strictly based on the selected documentation source.

Live on: https://aneesh-chatbot.streamlit.app/

Features

• Select from multiple documentation sources (Segment, mParticle, Lytics, Zeotap)
• Asks questions and receives context-specific answers based on the chosen dataset
• Uses Google Generative AI (gemini-2.0-flash) for generating chatbot responses
• Clean and interactive UI built with Streamlit

Tech Stack

• Frontend: Streamlit
• Backend: Google Generative AI (gemini-2.0-flash)
• APIs: Requests for fetching raw data from GitHub
• Environment Management: Python's dotenv

Prerequisites

• Python 3.x installed
• A Google Generative AI API Key (GEMINI_API_KEY)

Installation

1. Clone the repository:

   git clone https://github.com/007aneesh/web-chatbot.git
   cd web-chatbot

 python -m venv venv
 source venv/bin/activate   # On MacOS/Linux
 venv\Scripts\activate      # On Windows

   pip install -r requirements.txt

      GEMINI_API_KEY=your_google_genai_api_key

Usage

Run the Streamlit app:

bash Copy Edit streamlit run main.py Open the app in your browser: After running the command, the app should automatically open in your default browser. If not, go to:

arduino Copy Edit http://localhost:8501 Choose a Documentation Source:

Use the dropdown to select from the available datasets: Segment mParticle Lytics Zeotap Ask Questions:

Enter your question in the text area. Click on the "Ask Chatbot" button. The chatbot will respond based on the selected documentation source. Troubleshooting:

If the documentation fails to load, ensure the files are accessible on GitHub and the URLs are correct. If you encounter issues with the chatbot responses, verify your API key in the .env file.