Upload app.py

app.py

@@ -1,3 +1,4 @@
+import spaces
 import gradio as gr
 import onnxruntime as ort
 import numpy as np
@@ -592,5 +593,5 @@ if __name__ == "__main__":
     if not os.environ.get("HF_TOKEN"):
         print("Warning: HF_TOKEN environment variable not set. Downloads from private repositories may fail.")
     # Initialize model on startup to avoid delay on first prediction
-    initialize_model()
+    # initialize_model() # Removed startup initialization
     demo.launch()