init

app.py

@@ -1,4 +1,5 @@
 import os
+import sys
 import tempfile
 
 import gradio as gr
@@ -23,6 +24,9 @@ from src.moviedubber.infer_with_mmlm_result import concat_movie_with_audio, get_
 from src.moviedubber.model.utils import convert_char_to_pinyin
 
 
+sys.path.append("src/third_party/BigVGAN")
+
+
 def load_asr_model(model_id="openai/whisper-large-v3-turbo"):
     torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
     model = AutoModelForSpeechSeq2Seq.from_pretrained(