Update

app.py

@@ -2,12 +2,11 @@ import gradio as gr
 import os
 
 # --- Configuration ---
-# 指向我們剛剛上傳的 "assets_converted" 資料夾
 SCENES = [
     {
         "name": "Office 0", 
         "thumb": "assets/office0.PNG",           
-        "model": "assets_converted/office0_converted.ply", # 指向轉好的檔
+        "model": "assets_converted/office0_converted.ply",
         "tracking_img": "assets/office0_tracking.PNG" 
     },
     {
@@ -27,31 +26,38 @@ SCENES = [
 gallery_items = [(item["thumb"], item["name"]) for item in SCENES]
 
 def load_scene(evt: gr.SelectData):
-    """
-    因為檔案已經是標準格式，直接回傳路徑即可。
-    不需要 GPU，不需要運算。
-    """
     index = evt.index
     scene = SCENES[index]
     
+    # 除錯資訊：檢查檔案是否存在
     if not os.path.exists(scene["model"]):
+        print(f"❌ File not found: {scene['model']}")
         return (
             None,
             scene["tracking_img"],
-            f"**Error: Model file not found: {scene['model']}**"
+            f"**Error: Model file missing on server!**\nPath: `{scene['model']}`"
         )
     
     file_size = os.path.getsize(scene["model"]) / (1024 * 1024)
+    print(f"📂 Loading: {scene['model']} ({file_size:.2f} MB)")
+    
+    # 警告：如果檔案還是太大 (>100MB)，CPU Basic 載入還是會慢
+    if file_size > 100:
+        msg = f"**{scene['name']}** ({file_size:.1f} MB)\n⚠️ File is large, please wait..."
+    else:
+        msg = f"**{scene['name']}** ({file_size:.1f} MB) ✓ Loaded"
+
     return (
         scene["model"],
         scene["tracking_img"],
-        f"**{scene['name']}** ({file_size:.1f} MB) ✓ Loaded"
+        msg
     )
 
 # --- UI ---
 with gr.Blocks(title="RGS-SLAM Demo") as demo:
     
     gr.Markdown("# 🚀 RGS-SLAM Gaussian Splatting Viewer")
+    gr.Markdown("Using CPU-Basic. Models converted to Binary PLY.")
     
     with gr.Row():
         with gr.Column(scale=1):