updated the demo

.gitattributes

@@ -38,3 +38,4 @@ man-woman.mp4 filter=lfs diff=lfs merge=lfs -text
 model/lbfmodel.yaml filter=lfs diff=lfs merge=lfs -text
 model/res10_300x300_ssd_iter_140000_fp16.caffemodel filter=lfs diff=lfs merge=lfs -text
 model/res10_300x300_ssd_iter_140000.caffemodel filter=lfs diff=lfs merge=lfs -text
+*.mp4 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -166,6 +166,7 @@ def process_video(input_video_path, detect_threshold=0.9, blur_factor=3, pixel_s
 # Define the Gradio interface
 iface = gr.Interface(
     fn=process_video,
+    theme=gr.themes.Soft(),
     inputs=[
         gr.Video(label="Input Video", autoplay=True),
         gr.Slider(minimum=0.5, maximum=0.99, value=0.9, label="Detection Confidence Threshold"),
@@ -175,7 +176,7 @@ iface = gr.Interface(
     outputs=[gr.Video(label="Processed Video", autoplay=True)],
     title="Face Blurring with OpenCV",
     description="Upload a video file (MP4 or AVI). The app will detect faces, blur and pixelate them, and provide a processed video for download.",
-    examples=[["./input-video.mp4", 0.9, 3, 10], ["./man-woman.mp4", 0.85, 4, 12]],
+    examples=[["./input-video.mp4", 0.9, 3, 10], ["./woman-news-interview.mp4", 0.85, 4, 12]],
     cache_examples=False,
 )
 

man-woman.mp4 → woman-news-interview.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7827497902a3f389dd1054f584c26c409d874f260c9e8df004ee695cb1fa40f7
-size 7038731
+oid sha256:4a37a0258b9757d3243a062fdaf847cb51ea28de94f6d00c8cfe7e254c30395b
+size 1483126