Added samples

.gitattributes

@@ -14,6 +14,11 @@
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+*.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
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app.py

@@ -76,17 +76,40 @@ def assess_face_quality(input_image):
     return f"Quality Score: {score:.3f}", output_image
 
 # Gradio Interface
-demo = gr.Interface(
-    fn=assess_face_quality,
-    inputs=gr.Image(type="numpy", label="Upload Face Image"),
-    outputs=[
-        gr.Text(label="Quality Score"),
-        gr.Image(type="numpy", label="Aligned Face with Score")
-    ],
-    title="Face Image Quality Assessment (eDifFIQA + YuNet)",
-    allow_flagging="never",
-    description="Upload a face image. The app detects and aligns the face, then evaluates image quality using the eDifFIQA model."
-)
+with gr.Blocks(css='''.example * {
+    font-style: italic;
+    font-size: 18px !important;
+    color: #0ea5e9 !important;
+    }''') as demo:
+
+    gr.Markdown("### Face Image Quality Assessment (eDifFIQA + YuNet)")
+    gr.Markdown("Upload a face image. The app detects and aligns the face, then evaluates image quality using the eDifFIQA model.")
+
+    with gr.Row():
+        input_image = gr.Image(type="numpy", label="Upload Face Image")
+        with gr.Column():
+            quality_score = gr.Text(label="Quality Score")
+            aligned_face = gr.Image(type="numpy", label="Aligned Face with Score")
+
+    # Clear output when new image is uploaded
+    input_image.change(fn=lambda: ("", None), outputs=[quality_score, aligned_face])
+
+    with gr.Row():
+        submit_btn = gr.Button("Submit", variant="primary")
+        clear_btn = gr.Button("Clear")
+
+    submit_btn.click(fn=assess_face_quality, inputs=input_image, outputs=[quality_score, aligned_face])
+    clear_btn.click(fn=lambda: (None, "", None), outputs=[input_image, quality_score, aligned_face])
+
+    gr.Markdown("Click on any example to try it.", elem_classes=["example"])
+
+    gr.Examples(
+        examples=[
+            ["examples/lena.jpg"],
+            ["examples/gray_face.png"]
+        ],
+        inputs=input_image
+    )
 
 if __name__ == "__main__":
     demo.launch()