app.py

import gradio as gr
from transformers import pipeline

# Load BioGPT model
bio_gpt = pipeline("text-generation", model="microsoft/biogpt-large")

def medical_chatbot(query):
    # Generate text using BioGPT
    result = bio_gpt(query, max_length=100, num_return_sequences=1)

    # Extract only the generated text from response
    generated_text = result[0]["generated_text"]
    
    return generated_text

# Create Gradio interface
iface = gr.Interface(
    fn=medical_chatbot,
    inputs=gr.Textbox(placeholder="Ask me a medical question..."),
    outputs="text",
    title="Medical Chatbot"
)

iface.launch()