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
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 *.pb filter=lfs diff=lfs merge=lfs -text

app.py

@@ -95,13 +95,20 @@ def detect_and_recognize(input_image):
     combined = cv.hconcat([left, right])
     return combined
 
-with gr.Blocks(title="Scene Text Detection + Recognition (PPOCR + CRNN)") as demo:
+with gr.Blocks(css='''.example * {
+    font-style: italic;
+    font-size: 18px !important;
+    color: #0ea5e9 !important;
+    }''') as demo:
+
     gr.Markdown("## Scene Text Detection and Recognition (PPOCR + CRNN)")
     gr.Markdown("Upload an image with scene text to detect text regions and recognize text using OpenCV DNN with PPOCR + CRNN models.")
 
     input_img = gr.Image(type="numpy", label="Upload Image")
     output_img = gr.Image(type="numpy", label="Detected Text Image")
 
+    input_img.change(fn=lambda: (None), outputs=output_img)
+
     with gr.Row():
         submit_btn = gr.Button("Submit", variant="primary")
         clear_btn = gr.Button("Clear")
@@ -118,6 +125,16 @@ with gr.Blocks(title="Scene Text Detection + Recognition (PPOCR + CRNN)") as dem
         outputs=[input_img, output_img]
     )
 
+    gr.Markdown("Click on any example to try it.", elem_classes=["example"])
+
+    gr.Examples(
+        examples=[
+            ["examples/text_det_test2.jpg"],
+            ["examples/right.jpg"]
+        ],
+        inputs=input_img
+    )
+
     gr.Markdown("**Note**: Left side of output shows detected regions, right side shows recognized text.")
 
 if __name__ == "__main__":