remove fairseq dependency

app.py

@@ -224,7 +224,6 @@ from lib.infer_pack.models import (
     SynthesizerTrnMs768NSFsid_nono,
 )
 import soundfile as sf
-from fairseq import checkpoint_utils
 import gradio as gr
 import logging
 from vc_infer_pipeline import VC
@@ -238,18 +237,24 @@ hubert_model = None
 
 def load_hubert():
     global hubert_model
-    models, _, _ = checkpoint_utils.load_model_ensemble_and_task(
-        ["hubert_base.pt"],
-        suffix="",
-    )
-    hubert_model = models[0]
+    # Load the model
+    hubert_model = torch.load("hubert_base.pt", map_location=config.device)
+    
+    # Prepare the model
     hubert_model = hubert_model.to(config.device)
     if config.is_half:
         hubert_model = hubert_model.half()
     else:
         hubert_model = hubert_model.float()
+    
     hubert_model.eval()
 
+    # models, _, _ = checkpoint_utils.load_model_ensemble_and_task(
+    #     ["hubert_base.pt"],
+    #     suffix="",
+    # )
+    # hubert_model = models[0]
+
 
 weight_root = "weights"
 index_root = "logs"

requirements.txt

@@ -25,5 +25,4 @@ phonemizer==3.2.1
 datasets==2.16.0
 torchmetrics==0.11.1
 whisperx @ git+https://github.com/m-bain/whisperx.git
-fairseq
 # install MFA for getting forced-alignment, this could take a few minutes