refactor: add voice mapping for cosyvoice and update sample rate

vox_box/backends/tts/cosyvoice.py

@@ -25,6 +25,16 @@ def __init__(
         cfg: Config,
     ):
         self.model_load = False
+        self.language_map = {
+            "中文女": "Chinese Female",
+            "中文男": "Chinese Male",
+            "日语男": "Japanese Male",
+            "粤语女": "Cantonese Female",
+            "英文女": "English Female",
+            "英文男": "English Male",
+            "韩语女": "Korean Female",
+        }
+        self.reverse_language_map = {v: k for k, v in self.language_map.items()}
         self._cfg = cfg
         self._voices = None
         self._model = None
@@ -70,13 +80,16 @@ def speech(
         if voice not in self._voices:
             raise ValueError(f"Voice {voice} not supported")
 
-        model_output = self._model.inference_sft(input, voice, False, speed)
+        original_voice = self._get_original_voice(voice)
+        model_output = self._model.inference_sft(
+            input, original_voice, stream=False, speed=speed
+        )
         with tempfile.NamedTemporaryFile(suffix=".wav", delete=True) as temp_file:
             wav_file_path = temp_file.name
             with wave.open(wav_file_path, "wb") as wf:
                 wf.setnchannels(1)  # single track
                 wf.setsampwidth(2)  # 16-bit
-                wf.setframerate(16000)  # Sample rate
+                wf.setframerate(22050)  # Sample rate
                 for i in model_output:
                     tts_audio = (
                         (i["tts_speech"].numpy() * (2**15)).astype(np.int16).tobytes()
@@ -86,10 +99,9 @@ def speech(
                 output_file_path = convert(wav_file_path, reponse_format, speed)
                 return output_file_path
 
-    def _get_required_resource(self) -> Dict:
-        # TODO: not accurate
-        Gib = 1024 * 1024 * 1024
-        return {"cuda": {"vram": 16 * Gib}, "cpu": {"ram": 16 * Gib}}
-
     def _get_voices(self) -> List[str]:
-        return self._model.list_avaliable_spks()
+        voices = self._model.list_avaliable_spks()
+        return [self.language_map.get(voice, voice) for voice in voices]
+
+    def _get_original_voice(self, voice: str) -> str:
+        return self.reverse_language_map.get(voice, voice)