Update app.py

app.py

@@ -398,18 +398,21 @@ def preprocess_audio(audio_path: str, target_sr: int = 16000) -> tuple:
             if temp_mp3_path and os.path.exists(temp_mp3_path) and "temp" in temp_mp3_path:
                 os.unlink(temp_mp3_path)
 
-# --- MODEL LOADING WITH GRADIO STATE ---
-# Use Gradio's caching mechanism instead of streamlit
+# --- GLOBAL MODEL STORAGE ---
+# Global variables to store loaded models (acts as cache)
 models = {}
 qa_system = {}
 
 def load_models():
-    """Load all models with caching."""
+    """Load all models with caching using global variables."""
     global models
     
     if models:  # Already loaded
+        print("✅ Models already loaded from cache")
         return models
     
+    print("🚀 Loading models for the first time...")
+    
     try:
         print("Loading ASR model (IndicConformer)...")
         asr_model_id = "ai4bharat/indic-conformer-600m-multilingual"
@@ -468,12 +471,15 @@ def load_models():
     return models
 
 def load_qa_system():
-    """Load Q&A system with caching."""
+    """Load Q&A system with caching using global variables."""
     global qa_system
     
     if qa_system:  # Already loaded
+        print("✅ Q&A system already loaded from cache")
         return qa_system
     
+    print("🚀 Loading Q&A system for the first time...")
+    
     try:
         # Load your Q&A dataset
         if os.path.exists("cleaned_qa_dataset.xlsx"):