Add Gemini Flash 2.0 integration and lifecycle methods

gemini-chat/.env.example

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+GEMINI_API_KEY="YOUR_API_KEY"

gemini-chat/README.md

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+# Gemini Flash 2.0 Chainlit Integration
+
+A simple web interface for interacting with Google's Gemini Flash 2.0 model using Chainlit.
+
+## Setup
+
+1. Clone this repository
+2. Create a virtual environment:
+   ```bash
+   python -m venv venv
+   source venv/bin/activate  # On Windows, use: venv\Scripts\activate
+   ```
+3. Install dependencies:
+   ```bash
+   pip install chainlit google-generativeai python-dotenv
+   ```
+4. Create a `.env` file with your Gemini API key:
+   ```
+   GEMINI_API_KEY=your_api_key_here
+   ```
+5. Create a `public/avatar` folder and add `gemini-logo.jpg` for the bot avatar
+
+## Running the Application
+
+```bash
+chainlit run app.py
+```
+
+The application will be available at http://localhost:8000
+
+## Project Structure
+
+```
+project/
+├── app.py            # Main application code
+├── chainlit.md       # Chainlit configuration file
+├── .env              # Environment variables (API keys)
+└── public/
+    └── avatar/
+        └── gemini-logo.jpg  # Custom avatar for Gemini responses
+```
+
+## Features
+
+- Interactive chat interface
+- Gemini Flash 2.0 model integration
+- Custom avatar for the AI assistant
+- Error handling

gemini-chat/app.py

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+import os
+import chainlit as cl
+import google.generativeai as genai
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
+
+if not GEMINI_API_KEY:
+    raise ValueError("Missing GEMINI_API_KEY. Please set it in a .env file.")
+
+# Configure Gemini API
+genai.configure(api_key=GEMINI_API_KEY)
+model = genai.GenerativeModel("gemini-2.0-flash")
+
+@cl.on_chat_start
+async def on_chat_start():
+    await cl.Message(content="Welcome to Gemini Flash 2.0 with Chainlit! Ask me anything.").send()
+
+@cl.on_message
+async def handle_message(message: cl.Message):
+    """Handles user messages and sends responses from Gemini Flash 2.0."""
+    try:
+        response = await model.generate_content_async(message.content)
+        await cl.Message(
+            content=response.text,
+            author="Gemini Flash 2.0",
+        ).send()
+    except Exception as e:
+        await cl.Message(content=f"Error: {str(e)}").send()
+
+
+@cl.on_stop
+async def on_stop():
+    print("User stopped the response.")
+
+@cl.on_chat_end
+async def on_chat_end():
+    print("Chat ended.")
+
+if __name__ == "__main__":
+    cl.run()

gemini-chat/chainlit.md

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+Gemini Flash 2.0 Chat Interface
+Welcome to the Gemini Flash 2.0 chat interface powered by Chainlit!
+Features
+
+Interact with Google's Gemini Flash 2.0 model
+Simple and responsive UI
+Error handling for API responses
+
+Usage
+Ask any question to get started. The model will generate responses based on your queries.

gemini-chat/requirements.txt

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+chainlit
+google-generativeai
+python-dotenv