GPT 2 Based Medical Dialogue System

screenshot of GPT 2 Based Medical Dialogue System
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A medical question-answering system built on the GPT-2 language model, fine-tuned on a large corpus of doctor-patient dialogues. The system supports multi-turn conversations and provides both command-line and web-based interfaces for interaction.

Overview

The GPT-2 Based Medical Dialogue System is an innovative tool designed for enhancing the interaction between patients and medical professionals. By leveraging the capabilities of the GPT-2 language model, this system has been fine-tuned with a vast collection of over 30,000 doctor-patient conversations, making it adept at providing relevant and coherent responses in a medical context. With support for multi-turn dialogues, the system is tailored to foster ongoing discussions and assist users in navigating complex medical inquiries.

Whether accessed via a user-friendly command-line interface or a web-based service, this dialogue system stands out for its ability to understand nuances in medical dialogue. It's a significant step towards making medical information more accessible and interactive for users seeking professional opinions or guidance.

Features

  • Specialized Training: Fine-tuned on over 30,000 authentic doctor-patient dialogues to ensure accurate and contextually relevant responses.
  • Multi-turn Dialogue Support: Capable of handling extended conversations while retaining context, making interactions feel natural and fluid.
  • Flexible Deployment Options: Available as an interactive command-line tool or a Flask-based web service for diverse use cases.
  • Customizable Training Parameters: Allows adjustments to batch size, learning rate, and epochs for tailored training experiences.
  • Robust Model Architecture: Utilizes the GPT2LMHeadModel with a sophisticated tokenizer for optimal dialogue management.
  • Performance Metrics: Achieved high accuracy rates (92.3% on training set) and maintains low perplexity, indicating fluency and relevance in generated responses.
  • User-friendly Interaction: Simple command-line interaction or browser-based use creates an accessible experience for various users.
flask
Flask

Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.