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from pathlib import Path
from typing import Union
from pypdf import PdfReader
from transformers import pipeline
import gradio as gr
question_answerer = pipeline(task="question-answering", model="deepset/tinyroberta-squad2")
def get_text_from_pdf(pdf_file: Union[str, Path]) -> str:
"""Read the PDF from the given path and return a string with its entire content."""
reader = PdfReader(pdf_file)
# Extract text from all pages
full_text = ""
for page in reader.pages:
full_text += page.extract_text()
return full_text
def answer_doc_question(pdf_file, question):
pdf_text = get_text_from_pdf(pdf_file)
answer = question_answerer(question, pdf_text)
return answer["answer"]
# Add default a file and question, so it's easy to try out the app.
pdf_input = gr.File(
value="https://ris.uni-paderborn.de/download/30236/30237/author_version.pdf",
file_types=[".pdf"],
label="Upload a PDF document and ask a question about it.",
)
question = gr.Textbox(
value="What is mobile-env?",
label="Type a question regarding the uploaded document here.",
)
gr.Interface(fn=answer_doc_question, inputs=[pdf_input, question], outputs="text").launch() |