WIP: golden kitty
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121
src/samples/foundational/06a-golden-kitty.py
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121
src/samples/foundational/06a-golden-kitty.py
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import argparse
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import asyncio
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import requests
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import time
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import urllib.parse
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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.elevenlabs_ai_service import ElevenLabsTTSService
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from dailyai.services.fal_ai_services import FalImageGenService
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from dailyai.queue_aggregators import LLMContextAggregator
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from dailyai.queue_frame import LLMMessagesQueueFrame, QueueFrame, TextQueueFrame
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from dailyai.services.ai_services import AIService
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from typing import AsyncGenerator, List
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class TranscriptFilter(AIService):
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def __init__(self, bot_participant_id=None):
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self.bot_participant_id = bot_participant_id
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async def process_frame(self, frame:QueueFrame) -> AsyncGenerator[QueueFrame, None]:
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if frame.participantId != self.bot_participant_id:
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yield frame
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async def main(room_url:str, token):
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global transport
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global llm
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global tts
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transport = DailyTransportService(
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room_url,
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token,
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"The Golden Kitty",
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5,
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)
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transport.mic_enabled = True
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transport.mic_sample_rate = 16000
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transport.camera_enabled = True
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transport.camera_width = 1024
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transport.camera_height = 1024
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llm = AzureLLMService()
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tts = ElevenLabsTTSService()
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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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await tts.say("Hi, I'm listening!", transport.send_queue)
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async def handle_transcriptions():
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messages = [
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{"role": "system", "content": "You are the Golden Kitty, the mascot for Product Hunt's annual awards. You are a cat who knows everything about all the cool new tech startups. You should be clever, and a bit sarcastic. You should also tell jokes every once in a while. Your responses should only be a few sentences long."},
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]
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tma_in = LLMContextAggregator(
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messages, "user", transport.my_participant_id
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)
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tma_out = LLMContextAggregator(
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messages, "assistant", transport.my_participant_id
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)
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tf = TranscriptFilter(transport.my_participant_id)
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await tts.run_to_queue(
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transport.send_queue,
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tma_out.run(
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llm.run(
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tma_in.run(
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tf.run(
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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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async def make_cats():
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imagegen = FalImageGenService(image_size="1024x1024")
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while True:
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imagegen.run_to_queue(transport.send_queue, [TextQueueFrame("a golden kitty trophy, cartoon, colorful, detailed, 4k")])
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await asyncio.sleep(60)
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transport.transcription_settings["extra"]["punctuate"] = True
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await asyncio.gather(transport.run(), handle_transcriptions(), make_cats())
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Simple Daily Bot Sample")
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parser.add_argument(
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"-u", "--url", type=str, required=True, help="URL of the Daily room to join"
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)
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parser.add_argument(
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"-k",
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"--apikey",
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type=str,
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required=True,
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help="Daily API Key (needed to create token)",
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)
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args, unknown = parser.parse_known_args()
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# Create a meeting token for the given room with an expiration 5 hours in the future.
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room_name: str = urllib.parse.urlparse(args.url).path[1:]
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expiration: float = time.time() + 60 * 60 * 5
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res: requests.Response = requests.post(
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f"https://api.daily.co/v1/meeting-tokens",
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headers={"Authorization": f"Bearer {args.apikey}"},
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json={
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"properties": {"room_name": room_name, "is_owner": True, "exp": expiration}
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},
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)
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if res.status_code != 200:
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raise Exception(f"Failed to create meeting token: {res.status_code} {res.text}")
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token: str = res.json()["token"]
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asyncio.run(main(args.url, token))
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