initial commit for new pipecat architecture

examples/starter-apps/chatbot.py

@@ -5,11 +5,11 @@ import os
 from PIL import Image
 from typing import AsyncGenerator
 
-from dailyai.pipeline.aggregators import (
+from pipecat.pipeline.aggregators import (
     LLMAssistantResponseAggregator,
     LLMUserResponseAggregator,
 )
-from dailyai.pipeline.frames import (
+from pipecat.pipeline.frames import (
     ImageFrame,
     SpriteFrame,
     Frame,
@@ -18,11 +18,11 @@ from dailyai.pipeline.frames import (
     AudioFrame,
     PipelineStartedFrame,
 )
-from dailyai.services.ai_services import AIService
-from dailyai.pipeline.pipeline import Pipeline
-from dailyai.transports.daily_transport import DailyTransport
-from dailyai.services.open_ai_services import OpenAILLMService
-from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
+from pipecat.services.ai_services import AIService
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.transports.daily_transport import DailyTransport
+from pipecat.services.open_ai_services import OpenAILLMService
+from pipecat.services.elevenlabs_ai_services import ElevenLabsTTSService
 
 from runner import configure
 
@@ -30,7 +30,7 @@ from dotenv import load_dotenv
 load_dotenv(override=True)
 
 logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
-logger = logging.getLogger("dailyai")
+logger = logging.getLogger("pipecat")
 logger.setLevel(logging.DEBUG)
 
 sprites = []
@@ -79,8 +79,6 @@ class TalkingAnimation(AIService):
 
 
 class AnimationInitializer(AIService):
-    def __init__(self):
-        super().__init__()
 
     async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
         if isinstance(frame, PipelineStartedFrame):