Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import numpy as np
 import torch
-from transformers import AutoProcessor, pipeline, BarkModel
+from transformers import AutoProcessor, pipeline, BarkModel, GenerationConfig
 
 ASR_MODEL_NAME = "bofenghuang/whisper-large-v2-cv11-german"
 TTS_MODEL_NAME = "suno/bark-small"
@@ -18,6 +18,11 @@ asr_pipe = pipeline("automatic-speech-recognition", model=ASR_MODEL_NAME, chunk_
 # set the forced ids
 asr_pipe.model.config.forced_decoder_ids = asr_pipe.tokenizer.get_decoder_prompt_ids(language='de', task="translate")
 
+MULTILINGUAL = True  # set True for multilingual models, False for English-only
+
+if MULTILINGUAL:
+    generation_config = GenerationConfig.from_pretrained("openai/whisper-large-v2")
+
 # load text-to-speech checkpoint
 processor = AutoProcessor.from_pretrained("suno/bark-small")
 model = BarkModel.from_pretrained("suno/bark-small").to(device)