more tweaks

src/dailyai/services/ai_services.py

@@ -147,7 +147,6 @@ class TTSService(AIService):
 
         if text:
             async for audio_chunk in self.run_tts(text):
-                print(f"audio chunk size: {len(audio_chunk)}")
                 size = 8000
                 for i in range(0, len(audio_chunk), size):
                     yield AudioQueueFrame(audio_chunk[i : i+size])

src/examples/foundational/06c-listen-respond-interruptible-refactor.py

@@ -8,6 +8,7 @@ from dailyai.services.daily_transport_service import DailyTransportService
 from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
 from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
 from dailyai.services.open_ai_services import OpenAILLMService
+from dailyai.services.deepgram_ai_services import DeepgramTTSService
 from dailyai.services.ai_services import FrameLogger
 from dailyai.services.groq_ai_services import GroqLLMService
 
@@ -44,13 +45,14 @@ async def main(room_url: str, token):
         llm = OpenAILLMService(
             context=context, api_key=os.getenv("OPENAI_CHATGPT_API_KEY"))
         # llm = GroqLLMService(api_key=os.getenv("GROQ_API_KEY"), context=context)
-        tts = AzureTTSService(
-            api_key=os.getenv("AZURE_SPEECH_API_KEY"),
-            region=os.getenv("AZURE_SPEECH_REGION"))
-        # tts = ElevenLabsTTSService(
-        #     aiohttp_session=session,
-        #     api_key=os.getenv("ELEVENLABS_API_KEY"),
-        #     voice_id=os.getenv("ELEVENLABS_VOICE_ID"))
+        # tts = AzureTTSService(
+        #     api_key=os.getenv("AZURE_SPEECH_API_KEY"),
+        #     region=os.getenv("AZURE_SPEECH_REGION"))
+        tts = ElevenLabsTTSService(
+            aiohttp_session=session,
+            api_key=os.getenv("ELEVENLABS_API_KEY"),
+            voice_id=os.getenv("ELEVENLABS_VOICE_ID"))
+        # tts = DeepgramTTSService(aiohttp_session=session, api_key=os.getenv("DEEPGRAM_API_KEY"), voice=os.getenv("DEEPGRAM_VOICE"))
         fl = FrameLogger("just outside the innermost layer")
 
         async def run_response(in_frame):