Update app.py

app.py

@@ -1,15 +1,13 @@
 import gradio as gr
 from transformers import pipeline
 
-# Initialize the object detection pipeline with the microsoft/table-transformer-detection model
+# Initialize the object detection pipeline with Microsoft's table transformer model
 pipe = pipeline("object-detection", model="microsoft/table-transformer-detection")
 
 # Define the function to detect objects in an image
 def detect_objects(image):
     result = pipe(image)
-    # Format the result to show detected objects and their scores
-    detections = [{"label": item["label"], "score": item["score"], "box": item["box"]} for item in result]
-    return detections
+    return [{"label": item["label"], "score": item["score"], "box": item["box"]} for item in result]
 
 # Set up the Gradio interface
 app = gr.Interface(