app.py

import gradio as gr
from PyPDF2 import PdfReader
from transformers import pipeline

# Load a pre-trained Question-Answering model
qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")

# Function to process the PDF and answer questions
def answer_question(file, question):
    # Read PDF content
    pdf_reader = PdfReader(file.name)
    pdf_text = ""
    for page in pdf_reader.pages:
        pdf_text += page.extract_text()

    # Use the QA pipeline to answer the question
    result = qa_pipeline(question=question, context=pdf_text)
    return result["answer"]

# Gradio Interface
demo = gr.Interface(
    fn=answer_question,
    inputs=[
        gr.File(label="Upload PDF", file_types=[".pdf"]),
        gr.Textbox(label="Enter your question"),
    ],
    outputs="text",
    title="Ask Questions from PDF",
)

demo.launch()