add logs

GPT_SoVITS/inference_cli.py

@@ -18,6 +18,8 @@ def synthesize(GPT_model_path, SoVITS_model_path, ref_audio_path, ref_text, ref_
 
     print("Model weights changed successfully.")
 
+    print(f"cli file inside synthesize func: the intestity is {intensity}")
+
     # Synthesize audio
     synthesis_result = get_tts_wav(ref_wav_path=ref_audio_path, 
                                    prompt_text=ref_text, 

api.py

@@ -917,6 +917,7 @@ def version_4_cli(
     shouting_type="normal",  # normal, loud, soft, whisper
     intesity = 0,
 ):
+    print(f"version 4 cli func: the intestiy is {intesity}")
     # Create a temporary buffer to store the audio
     audio_buffer = io.BytesIO()
 
@@ -1017,7 +1018,7 @@ async def tts_endpoint(
     volume_scale: str = "1.0",  # Accept as string from URL, convert to float
     strain_effect: str = "0.0",  # Accept as string from URL, convert to float
     shouting_type: str = "normal",  # Accept as string from URL, convert to appropriate type
-    intesity: int = 0,
+    intesity: str = "0.0",
 ):
     if character == "kurari" or character == "Kurari":
         prompt_text = "おはよう〜。今日はどんな1日過ごすー？くらりはね〜いつでもあなたの味方だよ"
@@ -1063,6 +1064,8 @@ async def tts_endpoint(
         volume_scale = float(volume_scale)
         strain_effect = float(strain_effect)
 
+        print(f"Tts endpoint func: the intesty is {intesity}")
+
         audio_buffer, sample_rate = version_4_cli(
             character_name=character,
             ref_text=prompt_text,