Update app.py

app.py

@@ -139,41 +139,36 @@ with gr.Blocks(theme=Ocean(), css=css_hide_share) as demo:
     *Inspired by the tutorial [Object Detection and Visual Grounding with Qwen 2.5](https://pyimagesearch.com/2025/06/09/object-detection-and-visual-grounding-with-qwen-2-5/) on PyImageSearch.*
     """)
 
-
-    with gr.Column():
-        with gr.Row():
-            image_input = gr.Image(label="Upload an image", type="pil", height=500)
-
-            with gr.Column():
-                prompt_input = gr.Textbox(label="Enter your prompt", placeholder="e.g., Detect all red cars in the image")
-                category_input = gr.Textbox(label="Category", interactive=False)
-
-        generate_btn = gr.Button(value="Generate")
-
-        with gr.Row():
-            output_image = gr.Image(type="pil", label="Annotated image", height=500)
+    with gr.Row():
+        with gr.Column(scale=1):
+            image_input = gr.Image(label="Upload an image", type="pil", height=400)
+            prompt_input = gr.Textbox(label="Enter your prompt", placeholder="e.g., Detect all red cars in the image")
+            category_input = gr.Textbox(label="Category", interactive=False)
+            generate_btn = gr.Button(value="Generate")
+
+        with gr.Column(scale=1):
+            output_image = gr.Image(type="pil", label="Annotated image", height=400)
             output_textbox = gr.Textbox(label="Model response", lines=10)
 
-        example_prompts = [
-            ["examples/example_1.jpg", "Detect all objects in the image and return their locations and labels.", "Object Detection"],
-            ["examples/example_2.JPG", "Detect all the individual candies in the image and return their locations and labels.", "Object Detection"],
-            ["examples/example_1.jpg", "Count the number of red cars in the image.", "Object Counting"],
-            ["examples/example_2.JPG", "Count the number of blue candies in the image.", "Object Counting"],
-            ["examples/example_1.jpg", "Identify the red cars in this image, detect their key points and return their positions in the form of points.", "Visual Grounding + Keypoint Detection"],
-            ["examples/example_2.JPG", "Identify the blue candies in this image, detect their key points and return their positions in the form of points.", "Visual Grounding + Keypoint Detection"],
-            ["examples/example_1.jpg", "Detect the red car that is leading in this image and return its location and label.", "Visual Grounding + Object Detection"],
-            ["examples/example_2.JPG", "Detect the blue candy located at the top of the group in this image and return its location and label.", "Visual Grounding + Object Detection"],
-        ]
-
-
-        gr.Markdown("### Examples")
-        gr.Examples(
-            examples=example_prompts,
-            inputs=[image_input, prompt_input, category_input],
-            label="Click an example to populate the input"
-        )
+    gr.Markdown("### Examples")
+    example_prompts = [
+        ["examples/example_1.jpg", "Detect all objects in the image and return their locations and labels.", "Object Detection"],
+        ["examples/example_2.JPG", "Detect all the individual candies in the image and return their locations and labels.", "Object Detection"],
+        ["examples/example_1.jpg", "Count the number of red cars in the image.", "Object Counting"],
+        ["examples/example_2.JPG", "Count the number of blue candies in the image.", "Object Counting"],
+        ["examples/example_1.jpg", "Identify the red cars in this image, detect their key points and return their positions in the form of points.", "Visual Grounding + Keypoint Detection"],
+        ["examples/example_2.JPG", "Identify the blue candies in this image, detect their key points and return their positions in the form of points.", "Visual Grounding + Keypoint Detection"],
+        ["examples/example_1.jpg", "Detect the red car that is leading in this image and return its location and label.", "Visual Grounding + Object Detection"],
+        ["examples/example_2.JPG", "Detect the blue candy located at the top of the group in this image and return its location and label.", "Visual Grounding + Object Detection"],
+    ]
+
+    gr.Examples(
+        examples=example_prompts,
+        inputs=[image_input, prompt_input, category_input],
+        label="Click an example to populate the input"
+    )
 
     generate_btn.click(fn=detect, inputs=[image_input, prompt_input], outputs=[output_image, output_textbox])
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()