Advanced-AI-Chatbot-Using-Python

Advanced AI Chatbot Using Streamlit and Gemini API

This project leverages Google’s Gemini API to create an AI-powered chatbot within a Streamlit web application. Users can interact with the chatbot in real-time and receive AI-generated responses based on their queries.

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🌐 Live Demo: Click here to try the chatbot

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Table of Contents

1. Project Overview
2. Features
3. Technology Stack
4. Installation
5. Usage
6. Project Structure
7. Contributing
8. License

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Project Overview

The Advanced AI Chatbot integrates Google’s Generative AI to provide intelligent responses to user queries. The application is built with Streamlit, offering a clean and interactive user interface, making AI-driven conversations efficient and accessible.

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Features

• AI-Powered Chatbot: Uses Google’s Gemini API for natural language processing and intelligent responses.
• Real-Time Conversations: Instant AI-generated responses.
• Interactive and User-Friendly UI: Streamlit-based interface for seamless user interaction.
• Maintains Chat History: Allows users to track previous messages.
• Secure API Key Management: API keys are securely managed within the application.
• Error Handling and Robust Processing: Ensures smooth operation with efficient exception handling.

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Technology Stack

• Frontend:
  • Streamlit (for UI and interaction)
• Backend:
  • Google Generative AI (Gemini API) (for AI-driven responses)
  • Python (for processing and integration)

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Installation

1️⃣ Clone the Repository

git clone https://github.com/iamDeepakHR/Advanced-AI-Chatbot-Using-Python.git
cd Advanced-AI-Chatbot-Using-Python

2️⃣ Create a Virtual Environment

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

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Configure API Key

1. Set your API key inside Chatbot.py:

   api_key = "YOUR_API_KEY"
   

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Usage

Run the Application

streamlit run Chatbot.py

How to Use

1️⃣ Enter your query in the chat input field.
2️⃣ Press Enter to send the message.
3️⃣ The chatbot will generate and display a response instantly.

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Project Structure

📂 Advanced-AI-Chatbot-Using-Python
│-- 📜 Chatbot.py            # Main Streamlit App
│-- 📜 requirements.txt  # Project dependencies
│-- 📜 README.md         # Documentation

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Contributing

We welcome contributions to enhance the project. If you would like to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-name).
3. Make your changes and commit them (git commit -m 'Add feature').
4. Push to your forked repository (git push origin feature-name).
5. Submit a pull request for review.

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License

This project is licensed under the MIT License - see the LICENSE file for details.

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Author

👨‍💻 Developed by Deepak H R 🚀

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