Update app.py

app.py

@@ -80,20 +80,23 @@ with gr.Blocks(title="DETR Object Detection by orYx Models") as demo:
     }
     </style>
     <div style="font-family:'Times New Roman', 'Serif'; font-size:16pt; font-weight:bold; text-align:center; color:royalblue;">DETR Object Detection</div>
-    <img class="logo" src="path_to_your_logo_image" alt="Logo">
+    <img class="logo" src="oryx_logo (2).png" alt="Logo">
     <h4 style="color:navy;">1. Select a model.</h4>
     """)
     model = gr.Radio(["detr-resnet-50", "detr-resnet-101"], value="detr-resnet-50", label="Model name")
 
     gr.HTML("""<br/>""")
-    gr.HTML("""<h4 style="color:navy;">2-a. Select an example by clicking a thumbnail below.</h4>""")
-    gr.HTML("""<h4 style="color:navy;">2-b. Or upload an image by clicking on the canvas.</h4>""")
+    gr.HTML("""<h4 style="color:navy;">Please upload an image..</h4>""")
+
 
     with gr.Row():
         input_image = gr.Image(label="Input image", type="pil")
         output_image = gr.Image(label="Output image with predicted instances", type="pil")
 
-    gr.Examples(['samples/cats.jpg', 'samples/detectron2.png', 'samples/cat.jpg', 'samples/hotdog.jpg'], inputs=input_image)
+    gr.Examples(['trees_traffic.jpg',
+                 'traffic.jpg',
+                 'flyover.jpg',
+                 'Saudi_traffic.jpg'], inputs=input_image)
 
     gr.HTML("""<br/>""")
     gr.HTML("""<h4 style="color:navy;">3. Then, click "Infer" button to predict object instances. It will take about 10 seconds (on cpu)</h4>""")