app.py

import gradio as gr
from transformers import AutoModelForQuestionAnswering, AutoTokenizer
import torch

# Load BioBERT Model
model_name = "dmis-lab/biobert-v1.1"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForQuestionAnswering.from_pretrained(model_name)

# Define chatbot function
def chatbot_response(user_message):
    if not user_message:
        return "⚠️ অনুগ্রহ করে একটি বৈধ প্রশ্ন লিখুন।"

    # Process the input
    inputs = tokenizer(user_message, return_tensors="pt")
    
    # Get model response
    with torch.no_grad():
        output = model(**inputs)

    return ["✅ নিরাময় AI আপনার প্রশ্ন বিশ্লেষণ করেছে..."]

# 🚀 Enable API Mode (Fix `enable_queue` issue)
iface = gr.Interface(
    fn=chatbot_response,
    inputs=gr.Textbox(label="User Message"),
    outputs=gr.Textbox(label="Chatbot Response"),
    title="🔹 Niramoy Bangla Medical Chatbot 🔹",
    flagging_mode="never"  # ✅ Fix deprecated `allow_flagging`
)

# 🔹 **Remove `enable_queue=True` to fix the issue**
iface.launch(share=True)