Simplify model loading: Remove progress_bar parameter that might cause issues

app.py

@@ -15,8 +15,8 @@ MODEL_NAME = "ashishkblink/vakya"
 print("🚀 Loading Vakya TTS model...")
 tts = None
 try:
-    # Try loading with explicit model name
-    tts = TTS(model_name=MODEL_NAME, progress_bar=True)
+    # Try loading with minimal parameters first
+    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
@@ -24,7 +24,7 @@ except ValueError as e:
     print("🔄 Trying with explicit model type...")
     try:
         # XTTS models might need explicit specification
-        tts = TTS(model_name=MODEL_NAME, model_type="tts_models/multilingual/multi-dataset/xtts_v2", progress_bar=True)
+        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}")
@@ -39,7 +39,7 @@ except Exception as e:
     try:
         print("🔄 Trying alternative model loading method...")
         # Try with gpu parameter explicitly set
-        tts = TTS(model_name=MODEL_NAME, gpu=False, progress_bar=True)
+        tts = TTS(model_name=MODEL_NAME, gpu=False)
         print("✅ Model loaded successfully with alternative method!")
     except Exception as e2:
         print(f"❌ Alternative loading also failed: {e2}")