Update app.py

app.py

@@ -188,41 +188,43 @@ def generate_pdf_report(original_img: Image.Image, mask: np.ndarray, overlay: Im
         pdf = FPDF()
         pdf.add_page()
         
-        # Use built-in font that supports basic characters
+        # Modern FPDF2 syntax
         pdf.set_font("helvetica", "B", 16)
-        pdf.cell(0, 10, "Diabetic Retinopathy Diagnosis Report", 0, 1, 'C')
+        pdf.cell(txt="Diabetic Retinopathy Diagnosis Report", new_x="LMARGIN", new_y="NEXT", align='C')
         pdf.ln(10)
         
         # Patient Info
         pdf.set_font("helvetica", "", 12)
-        pdf.cell(0, 10, "Patient: ___________________________", 0, 1)
-        pdf.cell(0, 10, "Date: _____________________________", 0, 1)
+        pdf.cell(txt="Patient: ___________________________", new_x="LMARGIN", new_y="NEXT")
+        pdf.cell(txt="Date: _____________________________", new_x="LMARGIN", new_y="NEXT")
         pdf.ln(10)
         
         # Diagnosis
         pdf.set_font("helvetica", "B", 14)
-        pdf.cell(0, 10, "Diagnosis:", 0, 1)
+        pdf.cell(txt="Diagnosis:", new_x="LMARGIN", new_y="NEXT")
         pdf.set_font("helvetica", "", 12)
-        pdf.cell(0, 10, f"Stage: {diagnosis}", 0, 1)
-        pdf.cell(0, 10, f"UK Grading: {grade}", 0, 1)
+        pdf.cell(txt=f"Stage: {diagnosis}", new_x="LMARGIN", new_y="NEXT")
+        pdf.cell(txt=f"Grading: {grade}", new_x="LMARGIN", new_y="NEXT")
         pdf.ln(10)
         
         # Lesion Analysis
         pdf.set_font("helvetica", "B", 14)
-        pdf.cell(0, 10, "Lesion Analysis:", 0, 1)
+        pdf.cell(txt="Lesion Analysis:", new_x="LMARGIN", new_y="NEXT")
         pdf.set_font("helvetica", "", 12)
-        pdf.cell(0, 10, f"Bright Lesions: {bright_area:.2f}%", 0, 1)
-        pdf.cell(0, 10, f"Red Lesions: {red_area:.2f}%", 0, 1)
-        pdf.cell(0, 10, f"Total Affected Area: {bright_area + red_area:.2f}%", 0, 1)
+        pdf.cell(txt=f"Bright Lesions: {bright_area:.2f}%", new_x="LMARGIN", new_y="NEXT")
+        pdf.cell(txt=f"Red Lesions: {red_area:.2f}%", new_x="LMARGIN", new_y="NEXT")
+        pdf.cell(txt=f"Total Affected Area: {bright_area + red_area:.2f}%", new_x="LMARGIN", new_y="NEXT")
         pdf.ln(15)
         
         # Helper function to add images
         def add_pdf_image(pdf, image, title):
             img_byte_arr = io.BytesIO()
             image.save(img_byte_arr, format='PNG')
+            img_bytes = img_byte_arr.getvalue()
+            
             pdf.set_font("helvetica", "B", 12)
-            pdf.cell(0, 10, title, 0, 1)
-            pdf.image(io.BytesIO(img_byte_arr.getvalue()), x=10, w=180)
+            pdf.cell(txt=title, new_x="LMARGIN", new_y="NEXT")
+            pdf.image(io.BytesIO(img_bytes), x=10, w=180)
             pdf.ln(5)
         
         # Add images
@@ -233,11 +235,10 @@ def generate_pdf_report(original_img: Image.Image, mask: np.ndarray, overlay: Im
         # Footer
         pdf.ln(10)
         pdf.set_font("helvetica", "I", 10)
-        pdf.cell(0, 10, "This report was generated by DR Analysis System", 0, 1, 'C')
+        pdf.cell(txt="This report was generated by DR Analysis System", new_x="LMARGIN", new_y="NEXT", align='C')
         
-        # Get PDF bytes without encoding
-        pdf_output = pdf.output(dest='S')
-        return pdf_output.encode('latin1') if isinstance(pdf_output, str) else pdf_output
+         # Get PDF as bytes
+        return pdf.output()
     
     except Exception as e:
         st.error(f"PDF generation failed: {str(e)}")