cleaned up example logging (#46)

src/examples/foundational/01-say-one-thing.py

@@ -1,5 +1,6 @@
 import asyncio
 import aiohttp
+import logging
 import os
 
 from dailyai.services.daily_transport_service import DailyTransportService
@@ -8,6 +9,9 @@
 
 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):
     async with aiohttp.ClientSession() as session:
@@ -21,24 +25,14 @@ async def main(room_url):
         # to the daily-python basic API
         meeting_duration_minutes = 5
         transport = DailyTransportService(
-            room_url,
-            None,
-            "Say One Thing",
-            meeting_duration_minutes,
-            mic_enabled=True
+            room_url, None, "Say One Thing", meeting_duration_minutes, mic_enabled=True
         )
 
         tts = ElevenLabsTTSService(
             aiohttp_session=session,
             api_key=os.getenv("ELEVENLABS_API_KEY"),
-            voice_id=os.getenv("ELEVENLABS_VOICE_ID"))
-        """
-        tts = PlayHTAIService(
-            api_key=os.getenv("PLAY_HT_API_KEY"),
-            user_id=os.getenv("PLAY_HT_USER_ID"),
-            voice_url=os.getenv("PLAY_HT_VOICE_URL"),
+            voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
         )
-        """
 
         # Register an event handler so we can play the audio when the participant joins.
         @transport.event_handler("on_participant_joined")
@@ -56,7 +50,7 @@ async def on_participant_joined(transport, participant):
             await transport.stop_when_done()
 
         await transport.run()
-        del(tts)
+        del tts
 
 
 if __name__ == "__main__":

src/examples/foundational/01a-local-transport.py

@@ -1,17 +1,20 @@
 import asyncio
 import aiohttp
+import logging
 import os
 
 from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
 from dailyai.services.local_transport_service import LocalTransportService
 
+logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
+logger = logging.getLogger("dailyai")
+logger.setLevel(logging.DEBUG)
 
 async def main():
     async with aiohttp.ClientSession() as session:
         meeting_duration_minutes = 1
         transport = LocalTransportService(
-            duration_minutes=meeting_duration_minutes,
-            mic_enabled=True
+            duration_minutes=meeting_duration_minutes, mic_enabled=True
         )
         tts = ElevenLabsTTSService(
             aiohttp_session=session,

src/examples/foundational/02-llm-say-one-thing.py

@@ -1,5 +1,6 @@
 import asyncio
 import os
+import logging
 
 import aiohttp
 
@@ -11,6 +12,9 @@
 from dailyai.services.open_ai_services import OpenAILLMService
 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):
     async with aiohttp.ClientSession() as session:
@@ -20,25 +24,23 @@ async def main(room_url):
             None,
             "Say One Thing From an LLM",
             duration_minutes=meeting_duration_minutes,
-            mic_enabled=True
+            mic_enabled=True,
         )
 
         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 = DeepgramTTSService(aiohttp_session=session, api_key=os.getenv("DEEPGRAM_API_KEY"), voice=os.getenv("DEEPGRAM_VOICE"))
-
-        llm = AzureLLMService(
-            api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
-            endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
-            model=os.getenv("AZURE_CHATGPT_MODEL"))
-        # llm = OpenAILLMService(api_key=os.getenv("OPENAI_CHATGPT_API_KEY"))
-        messages = [{
-            "role": "system",
-            "content": "You are an LLM in a WebRTC session, and this is a 'hello world' demo. Say hello to the world."
-        }]
+            voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
+        )
+        llm = OpenAILLMService(
+            api_key=os.getenv("OPENAI_CHATGPT_API_KEY"), model="gpt-4-turbo-preview"
+        )
+        messages = [
+            {
+                "role": "system",
+                "content": "You are an LLM in a WebRTC session, and this is a 'hello world' demo. Say hello to the world.",
+            }
+        ]
         tts_task = asyncio.create_task(
             tts.run_to_queue(
                 transport.send_queue,

src/examples/foundational/03-still-frame.py

@@ -1,5 +1,6 @@
 import asyncio
 import aiohttp
+import logging
 import os
 
 from dailyai.pipeline.frames import TextFrame
@@ -10,6 +11,9 @@
 
 from examples.support.runner import configure
 
+logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
+logger = logging.getLogger("dailyai")
+logger.setLevel(logging.DEBUG)
 local_joined = False
 participant_joined = False
 
@@ -25,21 +29,23 @@ async def main(room_url):
             mic_enabled=False,
             camera_enabled=True,
             camera_width=1024,
-            camera_height=1024
+            camera_height=1024,
         )
 
         imagegen = FalImageGenService(
             image_size="1024x1024",
             aiohttp_session=session,
             key_id=os.getenv("FAL_KEY_ID"),
-            key_secret=os.getenv("FAL_KEY_SECRET"))
+            key_secret=os.getenv("FAL_KEY_SECRET"),
+        )
         # imagegen = OpenAIImageGenService(aiohttp_session=session, api_key=os.getenv("OPENAI_DALLE_API_KEY"), image_size="1024x1024")
         # imagegen = AzureImageGenServiceREST(image_size="1024x1024", aiohttp_session=session, api_key=os.getenv("AZURE_DALLE_API_KEY"), endpoint=os.getenv("AZURE_DALLE_ENDPOINT"), model=os.getenv("AZURE_DALLE_MODEL"))
 
         image_task = asyncio.create_task(
             imagegen.run_to_queue(
-                transport.send_queue, [
-                    TextFrame("a cat in the style of picasso")]))
+                transport.send_queue, [TextFrame("a cat in the style of picasso")]
+            )
+        )
 
         @transport.event_handler("on_first_other_participant_joined")
         async def on_first_other_participant_joined(transport):

src/examples/foundational/03a-image-local.py

@@ -1,5 +1,6 @@
 import asyncio
 import aiohttp
+import logging
 import os
 
 import tkinter as tk
@@ -8,6 +9,10 @@
 from dailyai.services.fal_ai_services import FalImageGenService
 from dailyai.services.local_transport_service import LocalTransportService
 
+logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
+logger = logging.getLogger("dailyai")
+logger.setLevel(logging.DEBUG)
+
 local_joined = False
 participant_joined = False
 
@@ -46,5 +51,6 @@ async def run_tk():
 
         await asyncio.gather(transport.run(), image_task, run_tk())
 
+
 if __name__ == "__main__":
     asyncio.run(main())

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.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:

src/examples/foundational/05-sync-speech-and-image.py

@@ -2,18 +2,38 @@
 from re import S
 import aiohttp
 import os
-from dailyai.pipeline.aggregators import GatedAggregator, LLMFullResponseAggregator, ParallelPipeline, SentenceAggregator
-
-from dailyai.pipeline.frames import AudioFrame, EndFrame, ImageFrame, LLMMessagesQueueFrame, LLMResponseStartFrame
+import logging
+
+from dailyai.pipeline.aggregators import (
+    GatedAggregator,
+    LLMFullResponseAggregator,
+    ParallelPipeline,
+    SentenceAggregator,
+)
+from dailyai.pipeline.frames import (
+    AudioFrame,
+    EndFrame,
+    ImageFrame,
+    LLMMessagesQueueFrame,
+    LLMResponseStartFrame,
+)
 from dailyai.pipeline.pipeline import Pipeline
-from dailyai.services.azure_ai_services import AzureLLMService, AzureImageGenServiceREST, AzureTTSService
+from dailyai.services.azure_ai_services import (
+    AzureLLMService,
+    AzureImageGenServiceREST,
+    AzureTTSService,
+)
 from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
 from dailyai.services.daily_transport_service import DailyTransportService
 from dailyai.services.fal_ai_services import FalImageGenService
 from dailyai.services.open_ai_services import OpenAIImageGenService
 
 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):
     async with aiohttp.ClientSession() as session:
@@ -27,23 +47,26 @@ async def main(room_url):
             camera_enabled=True,
             mic_sample_rate=16000,
             camera_width=1024,
-            camera_height=1024
+            camera_height=1024,
         )
 
         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"),
+        )
         tts = ElevenLabsTTSService(
             aiohttp_session=session,
             api_key=os.getenv("ELEVENLABS_API_KEY"),
-            voice_id="ErXwobaYiN019PkySvjV")
+            voice_id="ErXwobaYiN019PkySvjV",
+        )
 
         dalle = FalImageGenService(
             image_size="1024x1024",
             aiohttp_session=session,
             key_id=os.getenv("FAL_KEY_ID"),
-            key_secret=os.getenv("FAL_KEY_SECRET"))
+            key_secret=os.getenv("FAL_KEY_SECRET"),
+        )
 
         source_queue = asyncio.Queue()
 
@@ -101,6 +124,7 @@ async def on_first_other_participant_joined(transport):
 
         await transport.run()
 
+
 if __name__ == "__main__":
     (url, token) = configure()
     asyncio.run(main(url))

src/examples/foundational/05a-local-sync-speech-and-text.py

@@ -1,6 +1,7 @@
 import aiohttp
 import argparse
 import asyncio
+import logging
 import tkinter as tk
 import os
 
@@ -10,6 +11,10 @@
 from dailyai.services.fal_ai_services import FalImageGenService
 from dailyai.services.local_transport_service import LocalTransportService
 
+logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
+logger = logging.getLogger("dailyai")
+logger.setLevel(logging.DEBUG)
+
 
 async def main(room_url):
     async with aiohttp.ClientSession() as session:
@@ -67,9 +72,7 @@ async def get_month_data(month):
             to_speak = f"{month}: {image_description}"
             audio_task = asyncio.create_task(get_all_audio(to_speak))
             image_task = asyncio.create_task(dalle.run_image_gen(image_description))
-            (audio, image_data) = await asyncio.gather(
-                audio_task, image_task
-            )
+            (audio, image_data) = await asyncio.gather(audio_task, image_task)
 
             return {
                 "month": month,
@@ -123,6 +126,7 @@ async def run_tk():
 
         await asyncio.gather(transport.run(), show_images(), run_tk())
 
+
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="Simple Daily Bot Sample")
     parser.add_argument(