6e8ebbd34c
* fal.ai image gen * some sample and readme updates * holy cow this is fast * basic image-gen working * starting audio prompt and reset * short confirmation words * moved fal module to pyproject.toml --------- Co-authored-by: Moishe Lettvin <moishel@gmail.com>
114 lines
4.1 KiB
Python
114 lines
4.1 KiB
Python
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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import random
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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.queue_frame import QueueFrame, FrameType
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from dailyai.services.fal_ai_services import FalImageGenService
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from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
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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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"Imagebot",
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1,
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)
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transport.mic_enabled = True
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transport.camera_enabled = True
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transport.mic_sample_rate = 16000
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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 = AzureTTSService()
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img = FalImageGenService()
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async def handle_transcriptions():
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print("handle_transcriptions got called")
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sentence = ""
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async for message in transport.get_transcriptions():
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print(f"transcription message: {message}")
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if message["session_id"] == transport.my_participant_id:
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continue
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finder = message["text"].find("start over")
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print(f"finder: {finder}")
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if finder >= 0:
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async for audio in tts.run_tts(f"Resetting."):
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transport.output_queue.put(QueueFrame(FrameType.AUDIO_FRAME, audio))
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sentence = ""
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continue
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# todo: we could differentiate between transcriptions from different participants
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sentence += f" {message['text']}"
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print(f"sentence is now: {sentence}")
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# TODO: Cache this audio
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phrase = random.choice(["OK.", "Got it.", "Sure.", "You bet.", "Sure thing."])
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async for audio in tts.run_tts(phrase):
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transport.output_queue.put(QueueFrame(FrameType.AUDIO_FRAME, audio))
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img_result = img.run_image_gen(sentence, "1024x1024")
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awaited_img = await asyncio.gather(img_result)
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transport.output_queue.put(
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[
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QueueFrame(FrameType.IMAGE_FRAME, awaited_img[0][1]),
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]
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)
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@transport.event_handler("on_participant_joined")
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async def on_participant_joined(transport, participant):
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print(f"participant joined: {participant['info']['userName']}")
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if participant["info"]["isLocal"]:
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return
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async for audio in tts.run_tts("Describe an image, and I'll create it."):
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audio_generator = tts.run_tts(f"Hello, {participant['info']['userName']}! Describe an image and I'll create it. To start over, just say 'start over'.")
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async for audio in audio_generator:
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transport.output_queue.put(QueueFrame(FrameType.AUDIO_FRAME, audio))
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transport.transcription_settings["extra"]["punctuate"] = False
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transport.transcription_settings["extra"]["endpointing"] = False
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await asyncio.gather(transport.run(), handle_transcriptions())
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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 1 hour 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
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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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