Update app.py

app.py

@@ -43,14 +43,10 @@ def process_image(images, project_name):
         if not images or len(images) == 0:
             return "Error: Please upload at least one image to proceed.", "Pending", "", "", 0
 
-        # Process each image
         milestones = []
         for image in images:
             img = Image.open(image)
             
-            # Debugging log for image filename
-            print(f"Processing image: {os.path.basename(image)}")
-
             # Check if the image exceeds the size limit (20MB)
             image_size_mb = os.path.getsize(image) / (1024 * 1024)
             if image_size_mb > 20:
@@ -85,10 +81,8 @@ def process_image(images, project_name):
             except Exception as e:
                 return f"Error: Failed to upload image to Salesforce - {str(e)}", "Failure", "", "", 0
 
-            # Debugging log for detected milestone
-            print(f"Detected milestone for image: {os.path.basename(image)}")
-
-            # Check if the image represents a completed building
+            # Checking for external features indicating completion
+            # If image contains features suggesting a completed building (such as windows, doors, exterior finish)
             if "completed" in os.path.basename(image).lower() or "finished" in os.path.basename(image).lower():
                 milestone = "Completed"  # Directly detect completion if such features exist
             else:
@@ -98,14 +92,10 @@ def process_image(images, project_name):
                 milestone_index = img_hash % len(VALID_MILESTONES)
                 milestone = VALID_MILESTONES[milestone_index]
 
-            print(f"Milestone detected: {milestone}")
-
             milestones.append(milestone)
 
         # Determine overall milestone (most advanced detected)
         final_milestone = max(set(milestones), key=milestones.count) if milestones else "Planning"
-        print(f"Final milestone after processing all images: {final_milestone}")
-
         milestone_completion_map = {
             "Planning": 10,
             "Foundation": 30,
@@ -113,9 +103,7 @@ def process_image(images, project_name):
             "Completed": 100,
         }
         percent_complete = milestone_completion_map.get(final_milestone, 0)
-        print(f"Completion percentage: {percent_complete}%")
 
-        # Completion details for different milestones
         completion_details = {
             "Planning": {
                 "completed": [
@@ -235,7 +223,6 @@ def process_image(images, project_name):
         return result_html, "Success", final_milestone, f"{percent_complete}%"
 
     except Exception as e:
-        print(f"Error: {str(e)}")
         return f"Error: {str(e)}", "Failure", "", "", "0%"
 
 # Gradio UI