Update app.py

app.py

@@ -14,11 +14,13 @@ from datasets import load_dataset
 
 from pdfminer.high_level import extract_pages, extract_text
 
+import io
+
 summarization = pipeline ('summarization', model = "pszemraj/long-t5-tglobal-base-16384-book-summary")
 
 def summarize_and_speech(pdf_file):
-    with open(pdf_file.name, 'rb') as file:
-        pdf_reader = PyPDF2.PdfFileReader(file)
+        pdf_bytes_io = io.BytesIO(pdf_file)
+        pdf_reader = PyPDF2.PdfFileReader(pdf_bytes_io)
         abstract_text = pdf_reader.pages[0].extract_text()
         summary = summarization(abstract_text, max_length=13, min_length=10)[0]['summary_text']