app.py

import gradio as gr
import fitz  # PyMuPDF
from transformers import pipeline

# Load the Hugging Face question-answering pipeline
qa_pipeline = pipeline("question-answering")

def answer_question(pdf_file, question):
    # Read the PDF file
    doc = fitz.open(stream=pdf_file.read(), filetype="pdf")
    text = ""
    for page in doc:
        text += page.get_text()

    # Use the QA model to answer the question
    answer = qa_pipeline(question=question, context=text)
    return answer['answer']

# Define the Gradio interface
interface = gr.Interface(
    fn=answer_question,
    inputs=[gr.inputs.File(type="pdf"), gr.inputs.Textbox(lines=2, placeholder="Type your question here...")],
    outputs="text",
    title="PDF Question Answering",
    description="Upload a PDF document and ask a question based on its content."
)

interface.launch()