changed default services (#47)
This commit is contained in:
@@ -5,11 +5,20 @@ import os
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import wave
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from dailyai.services.daily_transport_service import DailyTransportService
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from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
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from dailyai.services.open_ai_services import OpenAILLMService
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from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
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from dailyai.pipeline.aggregators import LLMContextAggregator, LLMUserContextAggregator, LLMAssistantContextAggregator
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from dailyai.pipeline.aggregators import (
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LLMContextAggregator,
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LLMUserContextAggregator,
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LLMAssistantContextAggregator,
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)
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from dailyai.services.ai_services import AIService, FrameLogger
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from dailyai.pipeline.frames import Frame, AudioFrame, LLMResponseEndFrame, LLMMessagesQueueFrame
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from dailyai.pipeline.frames import (
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Frame,
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AudioFrame,
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LLMResponseEndFrame,
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LLMMessagesQueueFrame,
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)
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from typing import AsyncGenerator
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from examples.support.runner import configure
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@@ -19,10 +28,7 @@ logger = logging.getLogger("dailyai")
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logger.setLevel(logging.DEBUG)
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sounds = {}
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sound_files = [
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'ding1.wav',
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'ding2.wav'
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]
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sound_files = ["ding1.wav", "ding2.wav"]
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script_dir = os.path.dirname(__file__)
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@@ -71,17 +77,18 @@ async def main(room_url: str, token):
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duration_minutes=5,
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mic_enabled=True,
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mic_sample_rate=16000,
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camera_enabled=False
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camera_enabled=False,
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)
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_CHATGPT_API_KEY"), model="gpt-4-turbo-preview"
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)
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llm = AzureLLMService(
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api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
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endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
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model=os.getenv("AZURE_CHATGPT_MODEL"))
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tts = ElevenLabsTTSService(
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aiohttp_session=session,
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api_key=os.getenv("ELEVENLABS_API_KEY"),
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voice_id="ErXwobaYiN019PkySvjV")
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voice_id="ErXwobaYiN019PkySvjV",
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)
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@transport.event_handler("on_first_other_participant_joined")
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async def on_first_other_participant_joined(transport):
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@@ -90,12 +97,13 @@ async def main(room_url: str, token):
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async def handle_transcriptions():
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messages = [
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{"role": "system", "content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio. Respond to what the user said in a creative and helpful way."},
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{
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"role": "system",
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"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio. Respond to what the user said in a creative and helpful way.",
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},
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]
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tma_in = LLMUserContextAggregator(
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messages, transport._my_participant_id
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)
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tma_in = LLMUserContextAggregator(messages, transport._my_participant_id)
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tma_out = LLMAssistantContextAggregator(
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messages, transport._my_participant_id
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)
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@@ -111,15 +119,13 @@ async def main(room_url: str, token):
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llm.run(
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fl2.run(
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in_sound.run(
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tma_in.run(
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transport.get_receive_frames()
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)
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tma_in.run(transport.get_receive_frames())
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)
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)
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)
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)
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)
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)
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),
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)
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transport.transcription_settings["extra"]["punctuate"] = True
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