📢 PhraseBot - AI Chat App

PhraseBot is a Flutter-based AI chatbot that provides real-time conversations using Facebook BlenderBot-3B from Hugging Face API. It also features user authentication with Supabase for a secure and personalized experience.

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🚀 Features

✅ AI-Powered Chat - Uses Facebook BlenderBot-3B for intelligent conversations.
✅ Supabase Authentication - Secure login & signup with email/password.
✅ Real-time Messaging - Smooth conversation flow with a chatbot.
✅ User Profile Management - Store user data like names in Supabase.
✅ Flutter-based UI - Cross-platform support for Android & iOS.
✅ Error Handling - Manages API failures with retry mechanisms.

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🛠️ Tech Stack

• Flutter (Frontend Framework)
• Hugging Face API (AI Chatbot Backend - BlenderBot 3B)
• Supabase (Authentication & User Management)
• Dio (HTTP requests for API integration)
• Provider (State Management)

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📌 Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/SubramanyaKS/phrasebot.git
cd phrasebot

2️⃣ Install Dependencies

flutter pub get

3️⃣ Set Up Supabase

1. Create a free Supabase account at supabase.com.
2. Create a new project and copy the Anon Key & Project URL.
3. Enable Authentication in Supabase (Email/Password).
4. Update .env file with your Supabase credentials:

   SUPABASE_URL=https://your-project.supabase.co
   SUPABASE_ANON_KEY=your-anon-key
   HUGGINGFACE_API_KEY=your-huggingface-api-key
   HUGGINGFACE_API_URL=https://api-inference.huggingface.co/yourmodel

4️⃣ Run the App

flutter run

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🔐 Authentication (Supabase)

• Signup with email & password.
• Login securely with Supabase authentication.
• Logout functionality.
• Password reset support.

await supabase.auth.signUp(email: email, password: password);
await supabase.auth.signInWithPassword(email: email, password: password);
await supabase.auth.signOut();

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🤖 AI Chat (Hugging Face API)

• Sends user input to BlenderBot API.
• Processes AI-generated responses.
• Handles API failures (503 errors) with retry logic.

Future<String> sendMessage(String message) async {
  final response = await dio.post(
    dotenv.env['HUGGINGFACE_API_URL']!,
    options: Options(headers: {"Authorization": "Bearer ${dotenv.env['HUGGINGFACE_API_KEY']}"}),
    data: {"inputs": message},
  );
  return response.data[0]["generated_text"];
}

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📱 Screenshots

(Include screenshots of the app UI here)

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🛠️ Future Enhancements

✅ Add Dark Mode Support
✅ Enable Voice Input for chatting
✅ Improve AI response speed

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📝 License

This project is open-source and free to use. Feel free to contribute! 🚀

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🤝 Contributing

1. Fork the repo
2. Create a feature branch (git checkout -b feature-name)
3. Commit changes (git commit -m "Added new feature")
4. Push to the branch (git push origin feature-name)
5. Open a pull request 🚀

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📞 Contact

For any questions, feel free to reach out: 📧 Email: connectwithsubbu@gmail.com
🐦 Twitter: @developersubbu