diff --git a/src/blackbox/cosyvoicetts.py b/src/blackbox/cosyvoicetts.py
new file mode 100644
index 0000000..f62a61f
--- /dev/null
+++ b/src/blackbox/cosyvoicetts.py
@@ -0,0 +1,93 @@
+import io
+import time
+
+import requests
+from fastapi import Request, Response, status
+from fastapi.responses import JSONResponse
+from injector import inject
+from injector import singleton
+
+from ..log.logging_time import logging_time
+
+from ..configuration import CosyVoiceConf
+from .blackbox import Blackbox
+
+import soundfile
+import pyloudnorm as pyln
+import sys
+sys.path.append('/home/gpu/Workspace/CosyVoice')
+from cosyvoice.cli.cosyvoice import CosyVoice
+from cosyvoice.utils.file_utils import load_wav
+import torchaudio
+
+import os
+import logging
+logger = logging.getLogger(__name__)
+
+@singleton
+class CosyVoiceTTS(Blackbox):
+    mode: str
+    url: str
+    speed: int
+    device: str
+    language: str
+    speaker: str
+    
+    @logging_time(logger=logger)
+    def model_init(self, cosyvoice_config: CosyVoiceConf) -> None:
+        self.speed = cosyvoice_config.speed
+        self.device = cosyvoice_config.device
+        self.language = cosyvoice_config.language
+        self.speaker = cosyvoice_config.speaker
+        self.device = cosyvoice_config.device
+        self.url = ''
+        self.mode = cosyvoice_config.mode
+        self.cosyvoicetts = None
+        self.speaker_ids = None
+        os.environ['CUDA_VISIBLE_DEVICES'] = str(cosyvoice_config.device)
+        if self.mode == 'local':
+            self.cosyvoicetts = CosyVoice('/home/gpu/Workspace/Models/CosyVoice/pretrained_models/CosyVoice-300M')
+            
+        else:
+            self.url = cosyvoice_config.url
+        logging.info('#### Initializing CosyVoiceTTS Service in cuda:' + str(cosyvoice_config.device) + ' mode...')
+
+    @inject
+    def __init__(self, cosyvoice_config: CosyVoiceConf) -> None:
+        self.model_init(cosyvoice_config)
+
+    def __call__(self, *args, **kwargs):
+        return self.processing(*args, **kwargs)
+
+    def valid(self, *args, **kwargs) -> bool:
+        text = args[0]
+        return isinstance(text, str)
+
+    @logging_time(logger=logger)
+    def processing(self, *args, **kwargs) -> io.BytesIO | bytes:
+        text = args[0]
+        current_time = time.time()
+        if self.mode == 'local':
+            audio = self.cosyvoicetts.inference_sft(text, self.language)
+            f = io.BytesIO()
+            soundfile.write(f, audio['tts_speech'].cpu().numpy().squeeze(0), 22050, format='wav')
+            f.seek(0)
+            print("#### CosyVoiceTTS Service consume - local : ", (time.time() - current_time))
+            return f.read()
+        else:
+            message = {
+                "text": text
+            }
+            response = requests.post(self.url, json=message)
+            print("#### CosyVoiceTTS Service consume - docker : ", (time.time()-current_time))
+            return response.content
+
+    async def fast_api_handler(self, request: Request) -> Response:
+        try:
+            data = await request.json()
+        except:
+            return JSONResponse(content={"error": "json parse error"}, status_code=status.HTTP_400_BAD_REQUEST)
+        text = data.get("text")
+        if text is None:
+            return JSONResponse(content={"error": "text is required"}, status_code=status.HTTP_400_BAD_REQUEST)
+        return Response(content=self.processing(text), media_type="audio/wav", headers={"Content-Disposition": "attachment; filename=audio.wav"})
\ No newline at end of file
diff --git a/src/blackbox/melotts.py b/src/blackbox/melotts.py
new file mode 100644
index 0000000..0a2e118
--- /dev/null
+++ b/src/blackbox/melotts.py
@@ -0,0 +1,108 @@
+import io
+import time
+
+import requests
+from fastapi import Request, Response, status
+from fastapi.responses import JSONResponse
+from injector import inject
+from injector import singleton
+
+from ..log.logging_time import logging_time
+
+from ..configuration import MeloConf
+from .blackbox import Blackbox
+
+import soundfile
+import pyloudnorm as pyln
+from melo.api import TTS
+
+import logging
+logger = logging.getLogger(__name__)
+
+@singleton
+class MeloTTS(Blackbox):
+    mode: str
+    url: str
+    speed: int
+    device: str
+    language: str
+    speaker: str
+    
+    @logging_time(logger=logger)
+    def model_init(self, melo_config: MeloConf) -> None:
+        self.speed = melo_config.speed
+        self.device = melo_config.device
+        self.language = melo_config.language
+        self.speaker = melo_config.speaker
+        self.device = melo_config.device
+        self.url = ''
+        self.mode = melo_config.mode
+        self.melotts = None
+        self.speaker_ids = None
+        if self.mode == 'local':
+            self.melotts = TTS(language=self.language, device=self.device)
+            self.speaker_ids = self.melotts.hps.data.spk2id
+        else:
+            self.url = melo_config.url
+        logging.info('#### Initializing MeloTTS Service in ' + self.device + ' mode...')
+
+    @inject
+    def __init__(self, melo_config: MeloConf) -> None:
+        self.model_init(melo_config)
+
+    def __call__(self, *args, **kwargs):
+        return self.processing(*args, **kwargs)
+
+    def valid(self, *args, **kwargs) -> bool:
+        text = args[0]
+        return isinstance(text, str)
+
+    @logging_time(logger=logger)
+    def processing(self, *args, **kwargs) -> io.BytesIO | bytes:
+        text = args[0]
+        current_time = time.time()
+        if self.mode == 'local':
+            audio = self.melotts.tts_to_file(text, self.speaker_ids[self.speaker], speed=self.speed)
+            f = io.BytesIO()
+            soundfile.write(f, audio, 44100, format='wav')     
+            f.seek(0)
+            # print("#### MeloTTS Service consume - local : ", (time.time() - current_time))
+            # return f.read()
+        
+            
+            # Read the audio data from the buffer
+            data, rate = soundfile.read(f, dtype='float32')
+            
+            # Peak normalization
+            peak_normalized_audio = pyln.normalize.peak(data, -1.0)
+            
+            # Integrated loudness normalization
+            meter = pyln.Meter(rate)
+            loudness = meter.integrated_loudness(peak_normalized_audio)
+            loudness_normalized_audio = pyln.normalize.loudness(peak_normalized_audio, loudness, -12.0)
+            
+            # Write the loudness normalized audio to an in-memory buffer
+            normalized_audio_buffer = io.BytesIO()
+            soundfile.write(normalized_audio_buffer, loudness_normalized_audio, rate, format='wav')
+            normalized_audio_buffer.seek(0)
+            
+            print("#### MeloTTS Service consume - local : ", (time.time() - current_time))
+            return normalized_audio_buffer.read()   
+
+        else:
+            message = {
+                "text": text
+            }
+            response = requests.post(self.url, json=message)
+            print("#### MeloTTS Service consume - docker : ", (time.time()-current_time))
+            return response.content
+
+    async def fast_api_handler(self, request: Request) -> Response:
+        try:
+            data = await request.json()
+        except:
+            return JSONResponse(content={"error": "json parse error"}, status_code=status.HTTP_400_BAD_REQUEST)
+        text = data.get("text")
+        if text is None:
+            return JSONResponse(content={"error": "text is required"}, status_code=status.HTTP_400_BAD_REQUEST)
+        return Response(content=self.processing(text), media_type="audio/wav", headers={"Content-Disposition": "attachment; filename=audio.wav"})
\ No newline at end of file
diff --git a/src/blackbox/vlms.py b/src/blackbox/vlms.py
index 6765260..9ac90d5 100644
--- a/src/blackbox/vlms.py
+++ b/src/blackbox/vlms.py
@@ -273,7 +273,6 @@ class VLMS(Blackbox):
         prompt = data.get("prompt")
         settings: dict = data.get('settings') 
         context = data.get("context")
-
         if not context:
             user_context = []
         elif isinstance(context[0], list):