修改方案，优先考虑 python 实现

python-subprocess/audio2text/gummy.py

@@ -0,0 +1,67 @@
+from dashscope.audio.asr import \
+    TranslationRecognizerCallback, \
+    TranscriptionResult, \
+    TranslationResult, \
+    TranslationRecognizerRealtime
+
+class Callback(TranslationRecognizerCallback):
+    """
+    语音大模型流式传输回调对象
+    """
+    def __init__(self):
+        super().__init__()
+        self.usage = 0
+        self.sentences = []
+        self.translations = []
+    
+    def on_open(self) -> None:
+        print("\nGummy 流式翻译开始...\n")
+
+    def on_close(self) -> None:
+        print(f"\nTokens消耗：{self.usage}")
+        print(f"流式翻译结束...\n")
+        for i in range(len(self.sentences)):
+            print(f"\n{self.sentences[i]}\n{self.translations[i]}\n")
+
+    def on_event(
+        self,
+        request_id,
+        transcription_result: TranscriptionResult,
+        translation_result: TranslationResult,
+        usage
+    ) -> None:
+        if transcription_result is not None:
+            id = transcription_result.sentence_id
+            text = transcription_result.text
+            if transcription_result.stash is not None:
+                stash = transcription_result.stash.text
+            else:
+                stash = ""
+            print(f"#{id}: {text}{stash}")
+            if usage: self.sentences.append(text)
+        
+        if translation_result is not None:
+            lang = translation_result.get_language_list()[0]
+            text = translation_result.get_translation(lang).text
+            if translation_result.get_translation(lang).stash is not None:
+                stash = translation_result.get_translation(lang).stash.text
+            else:
+                stash = ""
+            print(f"#{lang}: {text}{stash}")
+            if usage: self.translations.append(text)
+        
+        if usage: self.usage += usage['duration']
+
+
+def getGummpyTranslator(rate) -> TranslationRecognizerRealtime:
+    translator = TranslationRecognizerRealtime(
+        model = "gummy-realtime-v1",
+        format = "pcm",
+        sample_rate = rate,
+        transcription_enabled = True,
+        translation_enabled = True,
+        source_language = "ja",
+        translation_target_languages = ["zh"],
+        callback = Callback()
+    )
+    return translator