cleaned up example logging (#46)

src/examples/foundational/04-utterance-and-speech.py

@@ -1,4 +1,5 @@
 import asyncio
+import logging
 import os
 
 import aiohttp
@@ -8,9 +9,12 @@ from dailyai.services.daily_transport_service import DailyTransportService
 from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
 from dailyai.pipeline.frames import EndFrame, LLMMessagesQueueFrame
 from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
-
 from examples.support.runner import configure
 
+logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
+logger = logging.getLogger("dailyai")
+logger.setLevel(logging.DEBUG)
+
 
 async def main(room_url: str):
     async with aiohttp.ClientSession() as session:
@@ -21,20 +25,23 @@ async def main(room_url: str):
             duration_minutes=1,
             mic_enabled=True,
             mic_sample_rate=16000,
-            camera_enabled=False
+            camera_enabled=False,
         )
 
         llm = AzureLLMService(
             api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
             endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
-            model=os.getenv("AZURE_CHATGPT_MODEL"))
+            model=os.getenv("AZURE_CHATGPT_MODEL"),
+        )
         azure_tts = AzureTTSService(
             api_key=os.getenv("AZURE_SPEECH_API_KEY"),
-            region=os.getenv("AZURE_SPEECH_REGION"))
+            region=os.getenv("AZURE_SPEECH_REGION"),
+        )
         elevenlabs_tts = ElevenLabsTTSService(
             aiohttp_session=session,
             api_key=os.getenv("ELEVENLABS_API_KEY"),
-            voice_id=os.getenv("ELEVENLABS_VOICE_ID"))
+            voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
+        )
 
         messages = [{"role": "system", "content": "tell the user a joke about llamas"}]
 
@@ -43,14 +50,19 @@ async def main(room_url: str):
         # speak the LLM response.
         buffer_queue = asyncio.Queue()
         source_queue = asyncio.Queue()
-        pipeline = Pipeline(source = source_queue, sink=buffer_queue, processors=[llm, elevenlabs_tts])
+        pipeline = Pipeline(
+            source=source_queue, sink=buffer_queue, processors=[llm, elevenlabs_tts]
+        )
         await source_queue.put(LLMMessagesQueueFrame(messages))
         await source_queue.put(EndFrame())
         pipeline_run_task = pipeline.run_pipeline()
 
         @transport.event_handler("on_first_other_participant_joined")
         async def on_first_other_participant_joined(transport):
-            await azure_tts.say("My friend the LLM is now going to tell a joke about llamas.", transport.send_queue)
+            await azure_tts.say(
+                "My friend the LLM is now going to tell a joke about llamas.",
+                transport.send_queue,
+            )
 
             async def buffer_to_send_queue():
                 while True: