Update app.py

app.py

@@ -1,40 +1,25 @@
 import os
 import torch
 import gradio as gr
-from TTS.tts.models.xtts import XttsArgs 
-
 from TTS.api import TTS
 
-
 # ✅ Accept Coqui License Automatically
 os.environ["COQUI_TOS_AGREED"] = "1"
 
+# ✅ Ensure CPU-only execution (disable GPU)
+device = "cpu"
 
-torch.serialization.safe_globals([XttsArgs])
-torch.serialization.add_safe_globals([XttsConfig])
-
-# ✅ Force full checkpoint loading
-def safe_load_checkpoint(model_path):
-    return torch.load(model_path, map_location="cpu", weights_only=False)  # ✅ Force full deserialization
-
-# ✅ Initialize TTS model
+# ✅ Manually Load XTTS Model (Without `XttsConfig`)
 model_name = "tts_models/multilingual/multi-dataset/xtts_v2"
-tts = TTS(model_name=model_name).to("cpu")  # ✅ Ensure CPU usage
+model_path = f"{os.getenv('HOME')}/.local/share/tts/{model_name.replace('/', '--')}"  # Custom model path
+
+tts = TTS(model_name=model_name).to(device)
 
 
-# ✅ Accept Coqui License Automatically
-os.environ["COQUI_TOS_AGREED"] = "1"
 
 
-torch.serialization.safe_globals([XttsArgs])
 
-# ✅ Force full checkpoint loading
-def safe_load_checkpoint(model_path):
-    return torch.load(model_path, map_location="cpu", weights_only=False)  # ✅ Force full deserialization
 
-# ✅ Initialize TTS model
-model_name = "tts_models/multilingual/multi-dataset/xtts_v2"
-tts = TTS(model_name=model_name).to("cpu")  # ✅ Ensure CPU usage