Update app.py

app.py

@@ -71,6 +71,34 @@ def analyze_uv_coverage(img, brightness_threshold=150, kernel_size=5, apply_blur
     annotated_img = cv2.addWeighted(img, 0.6, overlay, 0.4, 0)
     return annotated_img, coverage_percent
 
+def create_pdf_report(coverage_percent, extracted_texts, annotated_image_path, output_path):
+    pdf = FPDF()
+    pdf.add_page()
+
+    pdf.set_font("Arial", 'B', 16)
+    pdf.cell(200, 10, txt="UV Sterilization Report", ln=True, align='C')
+    pdf.ln(10)
+
+    pdf.set_font("Arial", size=12)
+    pdf.cell(0, 10, f"Sterilization Coverage: {coverage_percent:.2f}%", ln=True)
+    pdf.ln(5)
+
+    pdf.cell(0, 10, "Extracted Text from Image (OCR):", ln=True)
+    pdf.set_font("Arial", size=10)
+    if extracted_texts:
+        for text in extracted_texts:
+            # Filter out very short or empty OCR texts to improve clarity
+            if len(text.strip()) > 1:
+                pdf.multi_cell(0, 8, f"- {text}")
+    else:
+        pdf.cell(0, 8, "No text detected.", ln=True)
+
+    pdf.ln(10)
+    pdf.cell(0, 10, "Annotated Image:", ln=True)
+    pdf.image(annotated_image_path, x=10, y=pdf.get_y(), w=pdf.w - 20)
+
+    pdf.output(output_path)
+
 def save_record_to_salesforce(annotated_image_url, coverage_percent, original_image_pil, compliance_threshold=80):
     sf = Salesforce(
         username=os.getenv('SF_USERNAME'),