Added samples

.gitattributes

@@ -14,6 +14,11 @@
 *.npy filter=lfs diff=lfs merge=lfs -text
 *.npz filter=lfs diff=lfs merge=lfs -text
 *.onnx filter=lfs diff=lfs merge=lfs -text
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -te
 *.ot filter=lfs diff=lfs merge=lfs -text
 *.parquet filter=lfs diff=lfs merge=lfs -text
 *.pb filter=lfs diff=lfs merge=lfs -text

app.py

@@ -22,15 +22,44 @@ def classify_image(input_image):
     result_str = "\n".join(f"{label}" for label in result)
     return result_str
 
-# Gradio Interface
-demo = gr.Interface(
-    fn=classify_image,
-    inputs=gr.Image(type="numpy", label="Upload Image"),
-    outputs=gr.Textbox(label="Top Prediction(s)"),
-    title="Image Classification with MobileNet (OpenCV DNN)",
-    allow_flagging="never",
-    description="Upload an image to classify using a MobileNet model loaded with OpenCV DNN."
-)
+def clear_output_on_change(img):
+    return gr.update(value="")
+
+def clear_all():
+    return None, None
+
+with gr.Blocks(css='''.example * {
+    font-style: italic;
+    font-size: 18px !important;
+    color: #0ea5e9 !important;
+    }''') as demo:
+
+    gr.Markdown("### Image Classification with MobileNet (OpenCV DNN)")
+    gr.Markdown("Upload an image to classify using a MobileNet model loaded with OpenCV DNN.")
+
+    with gr.Row():
+        image_input = gr.Image(type="numpy", label="Upload Image")
+        output_box = gr.Textbox(label="Top Prediction(s)")
+
+    # Clear output when new image is uploaded
+    image_input.change(fn=clear_output_on_change, inputs=image_input, outputs=output_box)
+
+    with gr.Row():
+        submit_btn = gr.Button("Submit", variant="primary")
+        clear_btn = gr.Button("Clear")
+
+    submit_btn.click(fn=classify_image, inputs=image_input, outputs=output_box)
+    clear_btn.click(fn=clear_all, outputs=[image_input, output_box])
+
+    gr.Markdown("Click on any example to try it.", elem_classes=["example"])
+
+    gr.Examples(
+        examples=[
+            ["examples/squirrel_cls.jpg"],
+            ["examples/baboon.jpg"]
+        ],
+        inputs=image_input
+    )
 
 if __name__ == "__main__":
     demo.launch()