Update app.py

app.py

@@ -116,14 +116,29 @@ class PDF(FPDF):
 def create_pdf_report(title, author_info, score, reasoning_text, output_path):
     pdf = PDF()
     pdf.add_page()
-    # Set the font to DejaVu for Unicode support
-    pdf.set_font("DejaVu", size=12)
+
+    # Set margins if needed, you can adjust the values accordingly
+    pdf.set_left_margin(10)
+    pdf.set_right_margin(10)
+
+    # Title in bold and larger font size
+    pdf.set_font("DejaVu", 'B', 14)  # Use bold style and increase font size
     pdf.cell(0, 10, f"Title: {title}", 0, 1)
+
+    # Author Information in bold and larger font size
+    pdf.set_font("DejaVu", 'B', 14)  # Keep bold style and font size for consistency
     pdf.cell(0, 10, f"Author Information: {author_info}", 0, 1)
+
+    # Score in bold and larger font size
+    pdf.set_font("DejaVu", 'B', 14)  # Keep bold style and font size for consistency
     pdf.cell(0, 10, f"Score: {score}", 0, 1)
+
+    # Reasoning in bold and larger font size
+    pdf.set_font("DejaVu", 'B', 14)  # Keep bold style and font size for consistency
     pdf.multi_cell(0, 10, f"Reasoning:\n{reasoning_text}")
-    pdf.output(output_path)
 
+    # Save the PDF to the specified output path
+    pdf.output(output_path)
     
 def process_pdf(uploaded_files, llm_model, n_criteria = num_criteria):
     # Initialize aggregation variables
@@ -215,9 +230,9 @@ def process_pdf(uploaded_files, llm_model, n_criteria = num_criteria):
 
         # Generate the score bar HTML
         score_bar_html = generate_score_bar(total_score, n_criteria)
-        
+        scaled_total_score = str(round((total_score / n_criteria) * 100)) + "/100"
         output_path = f"/tmp/paper_report_{i+1}.pdf"
-        create_pdf_report(title, author_result, total_score, reasoning_text, output_path)
+        create_pdf_report(title, author_result, scaled_total_score, reasoning_text, output_path)
         output_files.append(output_path)
 
         # Construct the processing message