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metadata
license: apache-2.0
title: 'GUVI AI '
emoji: 🌍
colorFrom: green
colorTo: blue
sdk: streamlit
sdk_version: 1.49.1
app_file: app.py
pinned: false
short_description: Learning Assistant

GUVI Multilingual AI Chatbot

This project is a sophisticated multilingual chatbot built with Streamlit and powered by Hugging Face Transformers. It's designed to understand and respond to user queries in over 20 languages, providing real-time, domain-specific answers about GUVI's courses.

🚀 About This Project

The primary goal of this chatbot is to assist learners on platforms like GUVI by providing real-time, multilingual support. It helps break down language barriers for non-English-speaking users, making educational resources more accessible.

⚙️ How It Works

The chatbot now features a fully automated and intelligent workflow:

  1. Auto-Detect Language: When a user enters a query, the app first uses a language-detection model to instantly identify the input language (e.g., Tamil, Hindi, Spanish).
  2. Translate to English: If the detected language is not English, the query is translated into English using the facebook/mbart-large-50-many-to-many-mmt model.
  3. Generate Accurate Response: The English query is passed to a custom fine-tuned GPT-2 model (aswinprasath31/guvi-gpt2-finetuned). This model has been specifically trained on GUVI's data to provide relevant and accurate answers about courses, enrollment, and more.
  4. Translate Back: Finally, the English response is translated back into the user's originally detected language before being displayed in a clean, chat-like interface.

🛠️ Tech Stack

  • Python
  • Streamlit (for the web interface)
  • Hugging Face Transformers (for AI models and fine-tuning)
  • PyTorch
  • Google Colab (for GPU-accelerated model training)

📋 How to Run This Project

  1. Clone the Repository

    git clone [https://github.com/Aswinprasath31/GUVI-Multilingual-GPT-Chatbot.git](https://github.com/Aswinprasath31/GUVI-Multilingual-GPT-Chatbot.git)
cd GUVI-Multilingual-GPT-Chatbot

  2. Install Dependencies

    pip install -r requirements.txt

  3. Run the Streamlit App

    streamlit run app.py

    The application will then be running and accessible in your web browser.

🔗 Deployed Application

You can interact with the live chatbot deployed on Hugging Face Spaces here:

https://huggingface.co/spaces/aswinprasath31/guvi-multilingual-chatbot