The Multi-Language Chatbot is an AI-powered chatbot capable of understanding and responding in multiple languages. This advanced version integrates OpenAI's GPT-3/4, Google Translate API, and voice interaction features, making it a powerful tool for global communication.
The Multi-Language Chatbot is a sophisticated conversational assistant that:
1. Understands and responds in multiple languages: Supports English, Hindi, Spanish, French, German, Mandarin, and more.
2. Voice Interaction: Allows users to communicate through voice input and hear responses in real-time.
3. Contextual Understanding: Powered by LLMs (GPT-3/4) for intelligent and context-aware responses.
4. Web & Desktop Support: Includes a desktop GUI and a Streamlit-based web interface.
1. Global Reach: Ideal for businesses, educators, or developers needing multi-lingual communication tools.
2. Ease of Use: Non-coders can use the GUI or Streamlit dashboard without writing a single line of code.
3. Adaptability: Supports expansion for custom domains or industries with additional languages and fine-tuned models.
4. Cutting-Edge AI: Leverages state-of-the-art LLMs and APIs for superior performance.
1. Users enter a query in their preferred language.
2. The chatbot translates the query to English for processing (if needed).
3. GPT-3/4 generates a context-aware response.
4. The response is translated back to the user’s language (if required).
5. Voice input and output enhance accessibility.
- **Multi-Language Support**: Communicate in multiple languages with seamless translation.
- LLM Integration: Generate intelligent, context-aware responses.
- Voice Interaction: Speak queries and hear responses in real-time.
- Conversation History: Stores chat history for reference.
- Web and Desktop Interfaces: Access via a Tkinter GUI or a Streamlit dashboard.
MultiLanguageChatbot/
├── data/
│ ├── responses.json # Backup pre-defined responses for fallback
├── gui/
│ ├── __init__.py # Initializes the GUI module
│ ├── chatbot_gui.py # GUI implementation using Tkinter
├── streamlit_app/
│ ├── app.py # Streamlit-based advanced chatbot
├── utils/
│ ├── __init__.py # Initializes the utils module
│ ├── translation_api.py # Logic for translating text
│ ├── response_logic.py # LLM-based response generation logic
│ ├── voice_handler.py # Logic for voice input and output
│ ├── conversation_store.py # Logic to store and manage conversation history
├── main.py # Entry point to run the chatbot
├── requirements.txt # Dependencies required for the project
├── README.md # Documentation for the project