diff --git a/application/requirements.txt b/application/requirements.txt
index 8029f9fb..12ea4ee5 100644
--- a/application/requirements.txt
+++ b/application/requirements.txt
@@ -91,4 +91,5 @@ wcwidth==0.2.13
 werkzeug==3.1.3
 yarl==1.18.3
 markdownify==0.14.1
-tldextract==5.1.3
\ No newline at end of file
+tldextract==5.1.3
+websockets==14.1
diff --git a/application/tts/elevenlabs.py b/application/tts/elevenlabs.py
index e1b3db27..2e8159b8 100644
--- a/application/tts/elevenlabs.py
+++ b/application/tts/elevenlabs.py
@@ -1,29 +1,84 @@
-from io import BytesIO
+import asyncio
+import websockets
+import json
 import base64
+from io import BytesIO
 from application.tts.base import BaseTTS
 
 
 class ElevenlabsTTS(BaseTTS):
-    def __init__(self):
-        from elevenlabs.client import ElevenLabs
-
-        self.client = ElevenLabs(
-            api_key="ELEVENLABS_API_KEY",
-            )
-    
+    def __init__(self):        
+        self.api_key = 'ELEVENLABS_API_KEY'# here you should put your api key
+        self.model = "eleven_flash_v2_5"
+        self.voice = "VOICE_ID" # this is the hash code for the voice not the name!
+        self.write_audio = 1
 
     def text_to_speech(self, text):
-        lang = "en"
-        audio = self.client.generate(
-            text=text,
-            model="eleven_multilingual_v2",
-            voice="Brian",
-        )
-        audio_data = BytesIO()
-        for chunk in audio:
-            audio_data.write(chunk)
-        audio_bytes = audio_data.getvalue()
+        asyncio.run(self._text_to_speech_websocket(text))
 
-        # Encode to base64
-        audio_base64 = base64.b64encode(audio_bytes).decode("utf-8")
-        return audio_base64, lang
+    async def _text_to_speech_websocket(self, text):
+        uri = f"wss://api.elevenlabs.io/v1/text-to-speech/{self.voice}/stream-input?model_id={self.model}"
+        websocket = await websockets.connect(uri)
+        payload = {
+            "text": " ",
+            "voice_settings": {
+                "stability": 0.5,
+                "similarity_boost": 0.8,
+            },
+            "xi_api_key": self.api_key,
+        }
+
+        await websocket.send(json.dumps(payload))
+        
+        async def listen():
+            while 1:
+                try:
+                    msg = await websocket.recv()
+                    data = json.loads(msg)
+
+                    if data.get("audio"):
+                        print("audio received")
+                        yield base64.b64decode(data["audio"])
+                    elif data.get("isFinal"):
+                        break
+                except websockets.exceptions.ConnectionClosed:
+                    print("websocket closed")
+                    break
+        listen_task =  asyncio.create_task(self.stream(listen()))
+        
+        await websocket.send(json.dumps({"text": text}))
+        # this is to signal the end of the text, either use this or flush
+        await websocket.send(json.dumps({"text": ""})) 
+
+        await listen_task
+    
+    async def stream(self, audio_stream):
+        if self.write_audio:
+            audio_bytes = BytesIO()
+            async for chunk in audio_stream:
+                if chunk:
+                    audio_bytes.write(chunk)
+            with open("output_audio.mp3", "wb") as f:
+                f.write(audio_bytes.getvalue())
+        
+        else:
+            async for chunk in audio_stream:
+                pass # depends on the streamer!
+
+
+def test_elevenlabs_websocket():
+    """
+    Tests the ElevenlabsTTS text_to_speech method with a sample prompt.
+    Prints out the base64-encoded result and writes it to 'output_audio.mp3'.
+    """
+    # Instantiate your TTS class
+    tts = ElevenlabsTTS()
+
+    # Call the method with some sample text
+    tts.text_to_speech("Hello from ElevenLabs WebSocket!")
+
+    print("Saved audio to output_audio.mp3.")
+
+
+if __name__ == "__main__":
+    test_elevenlabs_websocket()