app.py

import gradio as gr
from transformers import pipeline

model_name = "emilyalsentzer/Bio_ClinicalBERT"
nlp_pipeline = pipeline("fill-mask", model=model_name)

def medical_chatbot(user_input):
    if "[MASK]" not in user_input:
        user_input += " [MASK]"
    
    response = nlp_pipeline(user_input)
    return {"prediction": response[0]["sequence"], "confidence": response[0]["score"]}

# Create an API interface
interface = gr.Interface(fn=medical_chatbot, inputs="text", outputs="json")
interface.launch(share=True)