Update app.py

app.py

@@ -83,6 +83,7 @@ def register_embedding_model(model_name: str = "open-clip") -> Any:
     Returns:
         Embedding model instance
     """
+    print("Registering embedding is called...")
     # TODO: Get the registry instance
     registry = EmbeddingFunctionRegistry().get_instance()
 
@@ -98,9 +99,11 @@ def register_embedding_model(model_name: str = "open-clip") -> Any:
 
 
 # Global embedding model
+print("Global variable is called...")
 clip_model = register_embedding_model()
 
 
+
 class FashionItem(LanceModel):
     """
     Schema for fashion items in vector database
@@ -113,9 +116,10 @@ class FashionItem(LanceModel):
     2. image_uri: String field for image file paths
     3. description: Optional string field for text descriptions
     """
-
+    print ("Class Fashion Item is called...")
     # TODO: Add vector field for embeddings
     vector: Vector(clip_model.ndims()) = clip_model.VectorField()
+    # This assignement is also required although AI show incorrect. As without this program show column mismatch error.
     
 
     # TODO: Add image field
@@ -151,7 +155,7 @@ def setup_fashion_database(
     4. Process and save images locally
     5. Create vector database table
     """
-
+    print("Setup fashion database is called...that uses FashionItem class")
     # TODO: Connect to LanceDB
     db = lancedb.connect(database_path)
 
@@ -406,6 +410,9 @@ def setup_llm_model(model_name: str = "Qwen/Qwen2.5-0.5B-Instruct") -> Tuple[Any
              low_cpu_mem_usage=True
             )
         
+        # Set model to eval mode for consistent outputs
+        model.eval()
+        
         if device == "cpu":
            model = model.to(device)
         
@@ -556,14 +563,9 @@ def run_fashion_rag_pipeline(
     Phase 4 - STORAGE: Save retrieved images
     """
 
-    global clip_model
     print("🚀 Starting Fashion RAG Pipeline")
     print("=" * 50)
     
-    # Initialize models if not already loaded
-    if clip_model is None:
-        clip_model = register_embedding_model()
-    
     try:
         # PHASE 1: RETRIEVAL
         print("🔍 PHASE 1: RETRIEVAL")
@@ -744,6 +746,7 @@ def launch_gradio_app():
 
 
 def main():
+    print("Main method is called...")
     """Main function to handle command line arguments and run the pipeline"""
 
     # If running in Hugging Face Spaces, automatically launch the app