try new finetuned whisper model

app.py

@@ -13,7 +13,7 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 target_language = "fr"
 
 # load speech translation checkpoint
-asr_pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=device)
+asr_pipe = pipeline("automatic-speech-recognition", model="bofenghuang/whisper-small-cv11-french", device=device)
 # whisper_model_name = "openai/whisper-small"
 # whisper_processor = WhisperProcessor.from_pretrained(whisper_model_name)
 # whisper_model = WhisperForConditionalGeneration.from_pretrained(whisper_model_name)