Update app.py

app.py

@@ -1,20 +1,17 @@
 import gradio as gr
 from transformers import pipeline
 
-# 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)
     return [{"label": item["label"], "score": item["score"], "box": item["box"]} for item in result]
 
-# Set up the Gradio interface
 app = gr.Interface(
-    fn=detect_objects,                  # Function for object detection
-    inputs=gr.Image(type="filepath"),   # Input field to upload an image
-    outputs=gr.JSON(),                  # Output field for detected objects (JSON format)
-    title="Object Detection",           # Title of the app
+    fn=detect_objects,                  
+    inputs=gr.Image(type="filepath"),   
+    outputs=gr.JSON(),
+    title="Object Detection",           
     description="Upload an image to detect objects using Microsoft's Table Transformer model."
 )