add comments

app.py

@@ -7,7 +7,7 @@ from huggingface_hub import hf_hub_download
 
 backend = get_backend('ultralytics')
 
-
+# Make sure the models paths are defined wrt their tasks, it helps map task in backend
 def use_models_hf():
     model_repos = {
         "Classification": {
@@ -34,30 +34,26 @@ def use_models_hf():
     
     downloaded_models = {}
     
-    # Ensure main model directory exists
     os.makedirs("model", exist_ok=True)
     
-    # Create all required subdirectories
     for model_type, model_info in model_repos.items():
         os.makedirs(model_info["local_dir"], exist_ok=True)
     
     for model_type, model_info in model_repos.items():
         target_path = os.path.join(model_info["local_dir"], model_info["filename"])
         
-        # Check if model already exists in target directory
         if os.path.exists(target_path):
             print(f"Model already exists at {target_path}")
             downloaded_models[model_type] = target_path
             continue
         
         try:
-            # Download the model directly to the target directory
             print(f"Downloading {model_type} model from Hugging Face...")
             model_path = hf_hub_download(
                 repo_id=model_info["repo_id"],
                 filename=model_info["filename"],
-                local_dir=model_info["local_dir"],  # Download directly to the target directory
-                local_dir_use_symlinks=False  # Ensure we get actual files, not symlinks
+                local_dir=model_info["local_dir"],  
+                local_dir_use_symlinks=False  
             )
             
             downloaded_models[model_type] = model_path
@@ -74,11 +70,9 @@ def use_models_hf():
 model_paths = use_models_hf()
 
 
-# Initialize with Classification model
 selected_model_name = "Classification"
 backend.patch(model_paths[selected_model_name])
 
-# Model type to display label mapping
 MODEL_TYPE_LABELS = {
     "Classification": "Person Classification",
     "Detection": "Person Detection",