Update app.py

app.py

@@ -7,7 +7,7 @@ import torch
 from transformers import pipeline 
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "openai/whisper-tiny" 
+model_repo_id = "emlinking/wav2vec2-large-xls-r-300m-tsm-asr-v6" 
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -15,7 +15,6 @@ else:
     torch_dtype = torch.float32
 
 pipe = pipeline(task="automatic-speech-recognition", model=model_repo_id, device=device)
-pipe.model.generation_config.forced_decoder_ids = pipe.processor.get_decoder_prompt_ids(language="zh", task="transcribe")
 
 # @spaces.GPU #[uncomment to use ZeroGPU]
 def infer(