mirror of
https://github.com/HiMeditator/auto-caption.git
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68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
from dashscope.audio.asr import \
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TranslationRecognizerCallback, \
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TranscriptionResult, \
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TranslationResult, \
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TranslationRecognizerRealtime
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class Callback(TranslationRecognizerCallback):
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"""
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语音大模型流式传输回调对象
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"""
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def __init__(self):
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super().__init__()
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self.usage = 0
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self.sentences = []
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self.translations = []
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def on_open(self) -> None:
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print("\nGummy 流式翻译开始...\n")
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def on_close(self) -> None:
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print(f"\nTokens消耗：{self.usage}")
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print(f"流式翻译结束...\n")
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for i in range(len(self.sentences)):
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print(f"\n{self.sentences[i]}\n{self.translations[i]}\n")
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def on_event(
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self,
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request_id,
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transcription_result: TranscriptionResult,
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translation_result: TranslationResult,
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usage
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) -> None:
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if transcription_result is not None:
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id = transcription_result.sentence_id
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text = transcription_result.text
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if transcription_result.stash is not None:
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stash = transcription_result.stash.text
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else:
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stash = ""
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print(f"#{id}: {text}{stash}")
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if usage: self.sentences.append(text)
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if translation_result is not None:
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lang = translation_result.get_language_list()[0]
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text = translation_result.get_translation(lang).text
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if translation_result.get_translation(lang).stash is not None:
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stash = translation_result.get_translation(lang).stash.text
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else:
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stash = ""
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print(f"#{lang}: {text}{stash}")
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if usage: self.translations.append(text)
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if usage: self.usage += usage['duration']
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def getGummpyTranslator(rate) -> TranslationRecognizerRealtime:
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translator = TranslationRecognizerRealtime(
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model = "gummy-realtime-v1",
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format = "pcm",
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sample_rate = rate,
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transcription_enabled = True,
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translation_enabled = True,
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source_language = "ja",
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translation_target_languages = ["zh"],
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callback = Callback()
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)
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return translator
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