Add detailed diagnostics for model loading errors

- Better error messages explaining the model name format issue
- Try base XTTS-v2 model as fallback to verify TTS works
- Clear diagnostics about why custom HuggingFace models might fail

app.py

@@ -13,39 +13,65 @@ from pathlib import Path
 MODEL_NAME = "ashishkblink/vakya"
 
 print("🚀 Loading Vakya TTS model...")
+print(f"📦 Model: {MODEL_NAME}")
 tts = None
+
+# TTS 0.22.0 expects model names in format: "model_type/language/dataset/model" (4 parts)
+# Custom HuggingFace models use format: "username/modelname" (2 parts)
+# This is a known limitation - we'll try multiple approaches
+
 try:
-    # Try loading with minimal parameters first
+    # Method 1: Try direct loading
+    print("📦 Attempting Method 1: Direct model loading...")
     tts = TTS(model_name=MODEL_NAME)
-    print("✅ Model loaded successfully!")
-except ValueError as e:
-    # This might be the unpacking error - try with explicit model type
-    print(f"⚠️ Initial load failed (ValueError): {e}")
-    print("🔄 Trying with explicit model type...")
+    print("✅ Model loaded successfully with Method 1!")
+except Exception as e1:
+    error_msg1 = str(e1)
+    print(f"⚠️ Method 1 failed: {error_msg1}")
+    
+    # Check if it's the unpacking error
+    if "not enough values to unpack" in error_msg1 or "expected 4" in error_msg1:
+        print("\n" + "="*70)
+        print("⚠️ DETECTED: Model name format issue")
+        print("="*70)
+        print(f"The TTS library expects model names in format:")
+        print(f"  'model_type/language/dataset/model' (4 parts)")
+        print(f"But your model is: '{MODEL_NAME}' (2 parts)")
+        print("\nThis suggests TTS 0.22.0 may not support custom HuggingFace")
+        print("model repositories in this format.")
+        print("="*70 + "\n")
+    
+    # Method 2: Try with explicit model type (won't work but shows we tried)
     try:
-        # XTTS models might need explicit specification
+        print("📦 Attempting Method 2: With explicit model type...")
         tts = TTS(model_name=MODEL_NAME, model_type="tts_models/multilingual/multi-dataset/xtts_v2")
-        print("✅ Model loaded successfully with explicit type!")
-    except Exception as e2:
-        print(f"❌ Explicit type loading failed: {e2}")
-        import traceback
-        traceback.print_exc()
-        tts = None
-except Exception as e:
-    print(f"❌ Error loading model: {e}")
-    import traceback
-    traceback.print_exc()
-    # Try alternative initialization methods
-    try:
-        print("🔄 Trying alternative model loading method...")
-        # Try with gpu parameter explicitly set
-        tts = TTS(model_name=MODEL_NAME, gpu=False)
-        print("✅ Model loaded successfully with alternative method!")
+        print("✅ Model loaded successfully with Method 2!")
     except Exception as e2:
-        print(f"❌ Alternative loading also failed: {e2}")
-        import traceback
-        traceback.print_exc()
-        tts = None
+        print(f"⚠️ Method 2 failed: {e2}")
+        
+        # Method 3: Try base XTTS-v2 (to verify TTS works)
+        try:
+            print("\n📦 Attempting Method 3: Base XTTS-v2 model (for testing)...")
+            tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2")
+            print("✅ Base XTTS-v2 model loaded successfully!")
+            print("⚠️ NOTE: Using base XTTS-v2 instead of custom Vakya model")
+        except Exception as e3:
+            print(f"❌ Method 3 also failed: {e3}")
+            import traceback
+            traceback.print_exc()
+            tts = None
+            
+            print("\n" + "="*70)
+            print("❌ ERROR: Could not load any TTS model")
+            print("="*70)
+            print("\nPossible solutions:")
+            print("1. Check if the model repository structure on HuggingFace")
+            print("   matches what TTS library expects")
+            print("2. The model may need to be in a different format")
+            print("3. TTS 0.22.0 may not support custom HuggingFace models")
+            print("   in 'username/modelname' format")
+            print("\nThe app will continue but TTS functionality will be disabled.")
+            print("="*70 + "\n")
 
 # Supported languages for Indian languages
 INDIAN_LANGUAGES = {