Update app.py

app.py

@@ -10,10 +10,10 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 
 # load speech translation checkpoint
 feature_extractor = WhisperFeatureExtractor.from_pretrained("openai/whisper-base")
-tokenizer = WhisperTokenizer.from_pretrained("openai/whisper-base", language="french", task="automatic-speech-recognition")
+tokenizer = WhisperTokenizer.from_pretrained("openai/whisper-base", language="french", task="translate")
 
 model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-base")
-forced_decoder_ids = tokenizer.get_decoder_prompt_ids(language="french", task="automatic-speech-recognition")
+forced_decoder_ids = tokenizer.get_decoder_prompt_ids(language="french", task="translate")
 asr_pipe = pipeline(
     "automatic-speech-recognition", 
     model=model,