Update app.py

app.py

@@ -2,38 +2,39 @@ import gradio as gr
 from transformers import pipeline
 import fitz  # PyMuPDF
 
-# Load summarization pipeline
+# Load the summarization model from Hugging Face
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
-# Function to extract text from PDF
+# Function to extract text from the uploaded PDF
 def extract_text_from_pdf(pdf_file):
-    doc = fitz.open(stream=pdf_file.read(), filetype="pdf")
+    doc = fitz.open(pdf_file.name)  # ✅ Use file path instead of .read()
     text = ""
     for page in doc:
         text += page.get_text()
     return text
 
-# Combine everything into one function
+# Function to summarize the extracted text
 def summarize_pdf(pdf_file):
     try:
         text = extract_text_from_pdf(pdf_file)
         if len(text.strip()) == 0:
-            return "The PDF seems empty or text is not extractable."
-        # Truncate long text (BART model has ~1024 token limit)
-        text = text[:3000]
+            return "❌ The PDF seems empty or has no extractable text."
+        text = text[:3000]  # Truncate to fit within model's token limit
         summary = summarizer(text, max_length=150, min_length=40, do_sample=False)
         return summary[0]['summary_text']
     except Exception as e:
-        return f"Error: {str(e)}"
+        return f"❌ Error: {str(e)}"
 
-# Gradio Interface
+# Gradio UI
 demo = gr.Interface(
     fn=summarize_pdf,
-    inputs=gr.File(label="Upload PDF of Academic Notes"),
-    outputs=gr.Textbox(label="Summarized Notes"),
-    title="📄 Academic Note Summarizer (PDF)",
-    description="Upload your academic notes in PDF format. The app will extract and summarize the content using a Hugging Face model."
+    inputs=gr.File(label="📄 Upload PDF of Academic Notes", type="file"),
+    outputs=gr.Textbox(label="📝 Summarized Notes"),
+    title="📚 Academic Note Summarizer",
+    description="Upload a PDF of your academic notes. The app extracts and summarizes the content using a Hugging Face transformer model."
 )
 
+# Launch the app
 demo.launch()
 
+