Update app.py

app.py

@@ -9,7 +9,7 @@ import os
 # Load environment variables from .env file
 load_dotenv()
 api_key = os.getenv("ROBOFLOW_API_KEY")
-model_id = os.getenv("ROBOFLOW_PROJECT") 
+model_id = os.getenv("ROBOFLOW_PROJECT")
 model_version = os.getenv("ROBOFLOW_MODEL_VERSION")
 
 # Initialize the Roboflow model
@@ -26,7 +26,7 @@ def detect_objects_with_sahi(image):
     image_np = np.array(image)
 
     # Run inference with SAHI Slicer
-    slicer = sv.InferenceSlicer(callback=callback)
+    slicer = sv.InferenceSlicer(callback=callback, overlap_wh=(50, 50))
     sliced_detections = slicer(image=image_np)
 
     # Annotate image with detected objects
@@ -37,7 +37,7 @@ def detect_objects_with_sahi(image):
 
     # Count objects by class
     class_counts = {}
-    for detection in sliced_detections:
+    for detection in sliced_detections.detections:  # Access .detections for the actual list
         class_name = detection.class_id
         class_counts[class_name] = class_counts.get(class_name, 0) + 1