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from modules.asr import get_asr_model
import librosa
if __name__ == "__main__":
supported_asrs = [
"funasr/paraformer-zh",
"openai/whisper-large-v3-turbo",
]
for model_id in supported_asrs:
try:
print(f"Loading model: {model_id}")
asr_model = get_asr_model(model_id, device="auto", cache_dir=".cache")
audio, sample_rate = librosa.load("tests/audio/hello.wav", sr=None)
result = asr_model.transcribe(audio, sample_rate, language="mandarin")
print(result)
except Exception as e:
print(f"Failed to load model {model_id}: {e}")
breakpoint()
continue |