elevenlabs test in 02-

src/dailyai/services/elevenlabs_ai_service.py

@@ -1,10 +1,11 @@
+import aiohttp
 import os
 import requests
 import time
 
-from typing import Generator
+from typing import AsyncGenerator
 
-from ..services.ai_services import TTSService
+from dailyai.services.ai_services import TTSService
 
 
 class ElevenLabsTTSService(TTSService):
@@ -14,25 +15,22 @@ class ElevenLabsTTSService(TTSService):
         self.api_key = os.getenv("ELEVENLABS_API_KEY")
         self.voice_id = os.getenv("ELEVENLABS_VOICE_ID")
 
-    def run_tts(self, sentence) -> Generator[bytes, None, None]:
-        url = f"https://api.elevenlabs.io/v1/text-to-speech/{self.voice_id}/stream"
-        payload = {"text": sentence, "model_id": "eleven_turbo_v2"}
-        querystring = {"output_format": "pcm_16000", "optimize_streaming_latency": 2}
-        headers = {
-            "xi-api-key": self.api_key,
-            "Content-Type": "application/json",
-        }
+    async def run_tts(self, sentence) -> AsyncGenerator[bytes, None]:
+        async with aiohttp.ClientSession() as session:
+            url = f"https://api.elevenlabs.io/v1/text-to-speech/{self.voice_id}/stream"
+            payload = {"text": sentence, "model_id": "eleven_turbo_v2"}
+            querystring = {"output_format": "pcm_16000", "optimize_streaming_latency": 2}
+            headers = {
+                "xi-api-key": self.api_key,
+                "Content-Type": "application/json",
+            }
+            async with session.post(url, json=payload, headers=headers, params=querystring) as r:
+                if r.status != 200:
+                    self.logger.error(
+                        f"audio fetch status code: {r.status}, error: {r.text}"
+                    )
+                    return
 
-        r = requests.request(
-            "POST", url, json=payload, headers=headers, params=querystring, stream=True
-        )
-
-        if r.status_code != 200:
-            self.logger.error(
-                f"audio fetch status code: {r.status_code}, error: {r.text}"
-            )
-            return
-
-        for chunk in r.iter_content(chunk_size=3200):
-            if chunk:
-                yield chunk
+                async for chunk in r.content:
+                    if chunk:
+                        yield chunk

src/dailyai/services/foo.py

@@ -1,10 +0,0 @@
-def hello(p):
-    def decorator(f):
-        print("running f", p)
-        return f
-
-    return decorator
-
-@hello("world")
-def foo():
-    print("hi")

src/samples/theoretical-to-real/02-llm-say-one-thing.py

@@ -4,7 +4,8 @@ from typing import AsyncGenerator
 
 from dailyai.output_queue import OutputQueueFrame, FrameType
 from dailyai.services.daily_transport_service import DailyTransportService
-from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
+from dailyai.services.azure_ai_services import AzureLLMService
+from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
 
 local_joined = False
 participant_joined = False
@@ -19,7 +20,7 @@ async def main(room_url):
     )
     transport.mic_enabled = True
 
-    tts = AzureTTSService()
+    tts = ElevenLabsTTSService()
     llm = AzureLLMService()
 
     messages = [{