Revert to minimal working version

app.py

@@ -1,103 +1,16 @@
 """
-Dynamic Intelligence - Human Demo Visualizer
+Minimal test version
 """
 import gradio as gr
-import json
 from pathlib import Path
 
 DATA_DIR = Path(__file__).parent / "data"
-
-def load_json_safe(path):
-    try:
-        with open(path, 'r') as f:
-            return json.load(f)
-    except:
-        return {}
-
-# Load data with error handling
-try:
-    metadata = load_json_safe(DATA_DIR / "metadata.json")
-    end_effector = load_json_safe(DATA_DIR / "end_effector.json")
-    hands_2d = load_json_safe(DATA_DIR / "hands_2d.json")
-    
-    total_frames = max(1, len(metadata.get('poses', [])))
-    fps = metadata.get('fps', 60)
-    hand_detection_rate = len(hands_2d) / total_frames * 100 if total_frames > 0 else 0
-    
-    left_poses = sum(1 for f in end_effector.values() if f and isinstance(f, dict) and f.get('left_hand'))
-    right_poses = sum(1 for f in end_effector.values() if f and isinstance(f, dict) and f.get('right_hand'))
-except Exception as e:
-    print(f"Error loading data: {e}")
-    total_frames = 0
-    fps = 60
-    hand_detection_rate = 0
-    left_poses = 0
-    right_poses = 0
-
 video_path = DATA_DIR / "video.mp4"
 
-CUSTOM_CSS = """
-:root, .gradio-container, body {
-    background-color: #050a18 !important;
-    color: #f8fafc !important;
-}
-.side-panel {
-    background: #0f172a;
-    padding: 20px;
-    border-radius: 18px;
-    border: 1px solid #1f2b47;
-}
-.stats-card ul {
-    list-style: none;
-    padding: 0;
-    margin: 0;
-    font-size: 0.92rem;
-}
-.stats-card li {
-    margin-bottom: 10px;
-    color: #e2e8f0;
-}
-.stats-card span {
-    display: inline-block;
-    margin-right: 6px;
-    color: #7dd3fc;
-}
-"""
-
-stats_html = f"""
-<div class="stats-card">
-  <ul>
-    <li><span>Number of samples/frames:</span> {total_frames:,}</li>
-    <li><span>Hand detection rate:</span> {hand_detection_rate:.1f}%</li>
-    <li><span>Left hand poses:</span> {left_poses}</li>
-    <li><span>Right hand poses:</span> {right_poses}</li>
-    <li><span>Frames per second:</span> {fps:.1f}</li>
-  </ul>
-</div>
-"""
-
-theme = gr.themes.Soft(
-    primary_hue="cyan", secondary_hue="blue", neutral_hue="slate"
-).set(
-    body_background_fill="#0c1424",
-    body_text_color="#f8fafc",
-    block_background_fill="#111a2c",
-)
-
-with gr.Blocks(theme=theme, css=CUSTOM_CSS) as demo:
-    gr.Markdown("# 🤖 Dynamic Intelligence - Human Demo Visualizer")
-    gr.Markdown("Egocentric hand tracking dataset for humanoid robot training")
-    
-    with gr.Row(equal_height=True):
-        with gr.Column(scale=1, min_width=260, elem_classes=["side-panel"]):
-            gr.HTML(stats_html)
-        with gr.Column(scale=2, min_width=640):
-            gr.Markdown("### RGB Video")
-            video = gr.Video(
-                height=360,
-                value=str(video_path) if video_path.exists() else None,
-                show_label=False,
-            )
+with gr.Blocks() as demo:
+    gr.Markdown("# Test")
+    gr.Video(value=str(video_path) if video_path.exists() else None)
 
 if __name__ == "__main__":
-    demo.queue().launch(show_api=False)
+    demo.launch()
+