Update requirements.txt with spaces package and temporarily remove GPU decorator

app.py

@@ -9,7 +9,6 @@ import tempfile
 import gradio as gr
 import torch
 from pathlib import Path
-from spaces import GPU
 
 # Add current directory to Python path for local zipvoice package
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
@@ -34,8 +33,8 @@ def load_models_and_components(model_name: str):
     """Load and cache models, tokenizer, vocoder, and feature extractor."""
     global _models_cache, _tokenizer_cache, _vocoder_cache, _feature_extractor_cache
 
-    # Set device (GPU if available, otherwise CPU)
-    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+    # Set device (CPU for Spaces)
+    device = torch.device("cpu")
 
     if model_name not in _models_cache:
         print(f"Loading {model_name} model...")
@@ -101,7 +100,6 @@ def load_models_and_components(model_name: str):
             model_config["feature"]["sampling_rate"])
 
 
-@GPU
 def synthesize_speech_gradio(
     text: str,
     prompt_audio_file,
@@ -126,7 +124,7 @@ def synthesize_speech_gradio(
         # Load models and components
         model, tokenizer, vocoder, feature_extractor, sampling_rate = load_models_and_components(model_name)
 
-        device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+        device = torch.device("cpu")
 
         # Save uploaded audio to temporary file
         with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_audio:

requirements.txt

@@ -10,6 +10,7 @@ tensorboard
 vocos
 pydub
 gradio>=4.44.0
+spaces
 
 # Normalization
 cn2an