feat: 后端封装tts，可以通过配置文件切换openvoice和vits

utils/tts/openvoice_utils.py

@@ -164,11 +164,14 @@ class TextToSpeech:
         """
         return audio_data.cpu().detach().float().numpy()
     
-    def numpy2bytes(self, audio_data: np.ndarray):
-        """
-        numpy类型转bytes
-        """
-        return (audio_data*32768.0).astype(np.int32).tobytes()
+    def numpy2bytes(self, audio_data):
+        if isinstance(audio_data, np.ndarray):
+            if audio_data.dtype == np.dtype('float32'):
+                audio_data = np.int16(audio_data * np.iinfo(np.int16).max)
+            audio_data = audio_data.tobytes()
+            return audio_data
+        else:
+            raise TypeError("audio_data must be a numpy array")
 
     def _base_tts(self,
                  text: str,
@@ -292,14 +295,11 @@ class TextToSpeech:
     
     def synthesize(self,
             text: str,
-            sdp_ratio=0.2,
-            noise_scale=0.6,
-            noise_scale_w=0.8,
-            speed=1.0,
-            quite=True,
-            
+            tts_info,
             source_se: Optional[np.ndarray]=None,
             target_se: Optional[np.ndarray]=None,
+            sdp_ratio=0.2,
+            quite=True,
             tau :float=0.3,
             message :str="default"):
         """
@@ -316,11 +316,11 @@ class TextToSpeech:
         """
         audio, sr = self._base_tts(text, 
                                    sdp_ratio=sdp_ratio,
-                                   noise_scale=noise_scale,
-                                   noise_scale_w=noise_scale_w,
-                                   speed=speed,
+                                   noise_scale=tts_info['noise_scale'],
+                                   noise_scale_w=tts_info['noise_scale_w'],
+                                   speed=tts_info['speed'],
                                    quite=quite)
-        if self.use_tone_convert:
+        if self.use_tone_convert and target_se.size>0:
             tts_sr = self.base_tts_model.hps.data.sampling_rate
             converter_sr = self.tone_color_converter.hps.data.sampling_rate
             audio = F.resample(audio, tts_sr, converter_sr)
@@ -342,4 +342,5 @@ class TextToSpeech:
             save_path: 保存路径
         """
         sf.write(save_path, audio, sample_rate)
-        print(f"Audio saved to {save_path}")
+        print(f"Audio saved to {save_path}")
+