Complete project.

app.py

@@ -1,18 +1,39 @@
+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()
+gr.Interface(fn=answer_doc_question, inputs=[pdf_input, question], outputs="text").launch()