Update app.py

app.py

@@ -54,27 +54,14 @@ def object_detection(image, confidence_threshold):
     return result_image, detected_objects_text
 
 # Define the Gradio interface
-# demo = gr.Interface(
-#     object_detection,
-#     [
-#         gr.inputs.Image(label="Upload an Image"),
-#         gr.outputs.Image(label="Detected Objects"),
-#         gr.outputs.Textbox(label="Detected Objects List"),
-#         gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.5, label="Confidence Threshold")
-#     ],
-#     title="Object Detection with DETR (ResNet-101)",
-#     description="Upload an image and adjust the confidence threshold to view detected objects."
-# )
-
 demo = gr.Interface(
     fn=object_detection,
-    inputs=[gr.Image(label="Upload an Image"),gr.Slider(minimum=0.0, maximum=1.0, default=0.5, label="Confidence Threshold")],
-    outputs=[gr.Image(label="Detected Objects"),gr.Textbox(label="Detected Objects List")],
+    inputs=[gr.Image(label="Upload an Image"), gr.Slider(minimum=0.0, maximum=1.0, label="Confidence Threshold", default=0.5)],
+    outputs=[gr.Image(label="Detected Objects"), gr.Textbox(label="Detected Objects List")],
     title="Object Detection with DETR (ResNet-101)",
-    description="Upload an image and get object detection results using the DETR model with a ResNet-101 backbone.",
+    description="Upload an image and get object detection results using the DETR model with a ResNet-101 backbone."
 )
 
-
 # Launch the Gradio interface
 if __name__ == "__main__":
     demo.launch()