Update app.py

app.py

@@ -2,6 +2,7 @@ import fitz
 from transformers import pipeline
 import gradio as gr
 
+
 def extract_text_from_pdf(pdf_content):
     doc = fitz.open("temp.pdf", pdf_content)
     text = ""
@@ -10,6 +11,7 @@ def extract_text_from_pdf(pdf_content):
         text += page.get_text()
     return text
 
+
 def generate_summary(file_content):
     # Load pre-trained Flan-T5 model
     text_generator = pipeline("text2text-generation", model="google/flan-t5-base")
@@ -28,18 +30,18 @@ def generate_summary(file_content):
     return {
         "Extracted Information": input_text,
         "Book Summary": summary[0]["generated_text"],
-        "Review": "The book conveys a powerful message about..."
+        "Review": "The book conveys a powerful message about...",
     }
 
+
 iface = gr.Interface(
     fn=generate_summary,
-    inputs=gr.File(max_upload_size=500),  # Corrected parameter name
+    inputs=gr.File(),  # Remove the max_upload_size parameter
     outputs=[
         gr.Textbox(),
         gr.Textbox(),
         gr.Textbox(),
     ],
-    live=True
+    live=True,
 )
-
 iface.launch()