Update app.py

app.py

@@ -2,7 +2,6 @@ import cv2
 import numpy as np
 import gradio as gr
 import requests
-from io import BytesIO
 
 # Configuration files
 config_file = "ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt"
@@ -48,11 +47,7 @@ def detect_objects(frame):
                 }
                 detections.append(detected_object)
                 
-                # Draw bounding box and label on the frame
-                cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
-                cv2.putText(frame, classLabels[ClassInd - 1].upper(), (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
-                
-    return frame, detections
+    return detections
 
 def get_image_from_url(url):
     response = requests.get(url)
@@ -62,16 +57,16 @@ def get_image_from_url(url):
 
 def detect_objects_in_image_url(url):
     frame = get_image_from_url(url)
-    result_frame, detected_objects = detect_objects(frame)
-    return result_frame, detected_objects
+    detected_objects = detect_objects(frame)
+    return detected_objects
 
 # Define the Gradio interface
 iface = gr.Interface(
     fn=detect_objects_in_image_url,
     inputs="text",
-    outputs=[gr.Image(type="numpy"), gr.JSON()],
+    outputs=gr.JSON(),
     title="Object Detection",
-    description="Enter an image URL to detect objects. The bounding boxes and labels will be drawn on the image, and the detected objects will be returned as JSON."
+    description="Enter an image URL to detect objects. The detected objects will be returned as JSON."
 )
 
 # Launch the interface