Fix dependency versions and improve error handling

requirements.txt

@@ -2,9 +2,10 @@ gradio==4.44.0
 torch==2.1.0
 torchvision==0.16.0
 torchaudio==2.1.0
-diffusers==0.24.0
-transformers==4.36.0
-accelerate==0.25.0
+diffusers==0.30.0
+transformers==4.44.0
+accelerate==0.34.0
+huggingface_hub==0.24.0
 opencv-python==4.8.1.78
 Pillow==10.1.0
 moviepy==1.0.3

src/video_generator.py

@@ -1,5 +1,4 @@
 import torch
-from diffusers import StableVideoDiffusionPipeline
 from PIL import Image
 import numpy as np
 from config.settings import DEVICE, MODEL_CONFIG, PROCESSING_CONFIG
@@ -12,6 +11,7 @@ class VideoGenerator:
     def _load_models(self):
         if DEVICE == "cuda":
             try:
+                from diffusers import StableVideoDiffusionPipeline
                 self.pipeline = StableVideoDiffusionPipeline.from_pretrained(
                     MODEL_CONFIG['svd_model'],
                     torch_dtype=torch.float16,
@@ -21,9 +21,11 @@ class VideoGenerator:
                 self.pipeline.enable_model_cpu_offload()
             except Exception as e:
                 print(f"Failed to load SVD: {e}")
+                self.pipeline = None
     
     def generate_video(self, image, prompt, duration=2):
         if not self.pipeline:
+            print("Pipeline not available, skipping video generation")
             return None
         
         try: