🚀 Chatbot Project

This project is a simple chatbot application built using Flask and the Gemini API. It was developed to conduct a session on "Chatbot Building."

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✨ Features

• 🤖 Chat functionality using Gemini API.
• 🖥️ Flask backend with RESTful endpoints.
• 🔄 Dynamic responses generated by the Gemini API.
• 🌐 Hosted on Railway.

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📋 Requirements

Python Packages

Ensure the following packages are installed:

• Flask==3.0.2
• Werkzeug==3.0.1
• google-generativeai==0.7.2
• python-dotenv
• waitress==2.1.2

Install dependencies using:

pip install -r requirements.txt

Environment Variables

Create a .env file in the project root with the following:

API_KEY=your-gemini-api-key

Replace your-gemini-api-key with your actual Gemini API key.

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📂 Project Structure

project/
├── app.py                # Main application file
├── .env                  # Environment variables
├── requirements.txt      # Dependencies
├── Procfile              # Deployment configuration
├── templates/
│   └── index.html        # HTML template for chatbot UI
├── static/               # Folder for static assets
│   ├── css/              # CSS files
│   ├── js/               # JavaScript files
│   └── images/           # Image files

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🏃‍♂️ Running Locally

Steps

1. Clone the repository:

   git clone https://github.com/your-repo-url.git

2. Navigate to the project directory:

   cd project

3. Install dependencies:

   pip install -r requirements.txt

4. Run the application:

   python app.py

5. Access the chatbot at:

   http://127.0.0.1:5000
   

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🌍 Deployment

This chatbot was hosted on Railway.

Steps

1. Push your code to a GitHub repository.
2. Link the repository to Railway.
3. Add the API_KEY environment variable in the Railway dashboard.
4. Deploy and access the chatbot via the Railway-provided URL.

Procfile for Deployment

Ensure the following Procfile exists in your project:

web: waitress-serve --port=$PORT app:app

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🛠️ How It Works

• The application uses Flask to create a web server.
• The /chat endpoint handles user messages and sends them to the Gemini API.
• The Gemini API processes the input and returns a response, which is displayed to the user.

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🎨 Screenshots

Chat Interface

Desktop View	Mobile View

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📜 License

This project is for educational purposes and is not licensed for commercial use.

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👤 Author

Sibi Siddharth S

• 📧 Email: sibisiddharth8@gmail.com
• 📍 Location: Coimbatore, Tamil Nadu

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Enjoy building and exploring chatbots! 🚀