Gemini Chatbot with Streamlit

A conversational question-answer chatbot built with Streamlit and Google's Gemini Pro API. The chatbot automatically saves all conversations and displays them in a beautiful chat interface.

Features

• 💬 Conversational Q&A chatbot using Gemini Pro
• 💾 Automatic chat history saving (JSON format)
• 📜 Display complete chat history in the UI
• 🗑️ Clear chat history option
• 📥 Download chat history as JSON
• 🔒 Secure API key management

Setup

1. Install Dependencies

First, activate your virtual environment and install the required packages:

# Activate virtual environment (Windows)
.venv\Scripts\activate

# Install dependencies
uv pip install -r requirements.txt

2. Get Gemini API Key

1. Visit Google AI Studio
2. Sign in with your Google account
3. Click "Create API Key"
4. Copy your API key

3. Configure API Key

You have two options:

Option A: Environment Variable (Recommended)

• Create a .env file in the project root
• Add your API key:

  GEMINI_API_KEY=your_api_key_here
  

Option B: Sidebar Input

• Run the app and enter your API key in the sidebar

4. Run the Application

streamlit run chatbot.py

The app will open in your default web browser at http://localhost:8501

Usage

1. Enter your Gemini API key (if not set in .env)
2. Start chatting by typing your question in the chat input
3. The chatbot will respond using Gemini Pro
4. All conversations are automatically saved to chat_history.json
5. Chat history persists across sessions

Features Explained

• Chat History: All conversations are saved in chat_history.json in the project folder
• Clear History: Use the "Clear Chat History" button in the sidebar to reset
• Download History: Download your chat history as a JSON file
• Timestamps: Each message includes a timestamp for reference

File Structure

Project1/
├── .venv/              # Virtual environment
├── chatbot.py          # Main Streamlit application
├── requirements.txt    # Python dependencies
├── chat_history.json   # Saved chat history (auto-generated)
├── .env               # API key configuration (optional)
└── README.md          # This file

Requirements

• Python 3.8+
• Streamlit
• google-generativeai
• python-dotenv

Notes

• The chat history is saved locally in JSON format
• API key is stored securely (not in code)
• The chatbot uses Gemini Pro model with optimized settings
• All conversations include timestamps