Update app.py

app.py

@@ -81,32 +81,17 @@ def run_detection(image_path):
     return to_pil_image(result_image_tensor)
     
 
-with gr.Blocks() as demo:
-
-    iface = gr.Interface(
-        fn=run_detection,
-        inputs=gr.Image(type="filepath", label="Upload Image"),
-        outputs=gr.Image(type="pil", label="Output Image"),
-        title="This app uses:PyTorch Vision. PyTorch Model:ResNet50_FPN"
-    )
-    gr.Markdown("### The model is adjusted to only detect car and traffic light. Example output:")
-    gr.Image(
-        value="exap1.JPG",  
-        show_label=False,
-        width=450
-    )
-
-demo.launch()
-
-'''
-demo = gr.Interface(
-    
+iface = gr.Interface(
     fn=run_detection,
-    inputs=gr.Image(type="filepath", label="Upload Image"),
-    outputs=gr.Image(type="pil",label="Output Image"),
-
-    title="<br>To see the complete code, click Files at upper right corner, in app.py<br><br>FasterRCNN_ResNet50_FPN model detects 91 classes. For demo purpose, it's been adjusted to only detect car and traffic light"
+    inputs=gr.Image(
+        type="filepath",
+        label="Upload Image"
+    ),
+    outputs=gr.Image(
+        type="pil",
+        label="Output Image"
+    ),
+    title="This app uses PyTorch Vision. PyTorch Model: ResNet50_FPN"
 )
 
-demo.launch()
-'''
+iface.launch()