Update app.py

app.py

@@ -37,7 +37,7 @@ class VideoProcessor:
         self.batch_size = 4 if torch.cuda.is_available() else 2
 
     def load_models(self):
-        """Load models with optimizations and proper configurations"""
+    """Load models with optimizations and proper configurations"""
         print("Loading CLIP model...")
         self.clip_model = CLIPModel.from_pretrained(
             "openai/clip-vit-base-patch32",
@@ -48,18 +48,16 @@ class VideoProcessor:
             "openai/clip-vit-base-patch32",
             cache_dir="./model_cache"
         )
-
+    
         print("Loading BLIP2 model...")
         model_name = "Salesforce/blip2-opt-2.7b"
         
-        # Initialize BLIP2 processor with updated configuration
+        # Initialize BLIP2 processor without config modifications
         self.blip_processor = Blip2Processor.from_pretrained(
             model_name,
             cache_dir="./model_cache"
         )
-        self.blip_processor.config.use_fast_tokenizer = True
-        self.blip_processor.config.processor_class = "Blip2Processor"
-
+    
         # Load BLIP2 model with optimizations
         self.blip_model = Blip2ForConditionalGeneration.from_pretrained(
             model_name,
@@ -68,7 +66,7 @@ class VideoProcessor:
             cache_dir="./model_cache",
             low_cpu_mem_usage=True
         ).to(self.device)
-
+    
         # Set models to evaluation mode
         self.clip_model.eval()
         self.blip_model.eval()