Update app.py

app.py

@@ -21,15 +21,14 @@ def callback(image_slice: np.ndarray) -> sv.Detections:
         results = results[0]  # Extract the detections from the tuple if necessary
     
     # If the results are a list (likely from Roboflow), access them correctly
+    detections = []
     if isinstance(results, list):
-        detections = []
         for result in results:
             # Ensure each result is processed into a Detections object
             detections.extend(sv.Detections.from_inference(result))
-        return detections
-
-    # If results are a single dictionary, process them directly
-    return sv.Detections.from_inference(results)
+    
+    # Return the list of detections
+    return detections
 
 # Initialize the SAHI Inference Slicer
 slicer = sv.InferenceSlicer(callback=callback)
@@ -74,4 +73,4 @@ iface = gr.Interface(
 )
 
 # Launch the Gradio interface
-iface.launch()
+iface.launch()