app.py

from transformers import pipeline
import gradio as gr

# Load lightweight legal model
qa_pipeline = pipeline("question-answering", model="law-ai/InLegalBERT")

def answer_question(question, context):
    result = qa_pipeline(question=question, context=context)
    return result['answer']

gr.Interface(
    fn=answer_question,
    inputs=["text", "text"],
    outputs="text",
    title="Indian Legal Q&A Bot",
    description="Ask questions based on Indian legal context"
).launch()