update code

app.py

@@ -2,19 +2,37 @@ import torch
 import gradio as gr
 from diffusers import DiffusionPipeline
 
-# Load the model once to optimize performance
-pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video")
+def load_video_model():
+    try:
+        # Ensure all necessary libraries are imported
+        import sentencepiece
+        
+        # Load the model with specific error handling
+        pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-Video")
+        return pipe
+    except ImportError as e:
+        print(f"Dependency Error: {e}")
+        print("Please install required libraries: pip install sentencepiece diffusers transformers torch gradio imageio")
+        return None
+    except Exception as e:
+        print(f"Error loading model: {e}")
+        return None
+
+# Load the model when the script starts
+pipe = load_video_model()
 
 def generate_video(prompt):
+    if pipe is None:
+        return "Error: Model could not be loaded. Check your dependencies."
+    
     try:
         # Generate video frames
         images = pipe(prompt).images
         
         # Save the generated images as a video
-        # Note: This is a simplified version - you might want to use proper video encoding
         output_path = "generated_video.mp4"
         
-        # Convert images to video (you may need additional libraries like OpenCV or moviepy)
+        # Convert images to video
         import imageio
         imageio.mimsave(output_path, images, fps=5)
         
@@ -32,4 +50,7 @@ demo = gr.Interface(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    if pipe is not None:
+        demo.launch()
+    else:
+        print("Could not launch app due to model loading failure.")