import argparse import asyncio import requests import time import urllib.parse import random from dailyai.transports.daily_transport import DailyTransport from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService from dailyai.pipeline.frames import Frame, FrameType from dailyai.services.fal_ai_services import FalImageGenService from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService async def main(room_url: str, token): global transport global llm global tts transport = DailyTransport( room_url, token, "Imagebot", 1, ) transport._mic_enabled = True transport._camera_enabled = True transport._mic_sample_rate = 16000 transport._camera_width = 1024 transport._camera_height = 1024 llm = AzureLLMService() tts = AzureTTSService() img = FalImageGenService() async def handle_transcriptions(): print("handle_transcriptions got called") sentence = "" async for message in transport.get_transcriptions(): print(f"transcription message: {message}") if message["session_id"] == transport._my_participant_id: continue finder = message["text"].find("start over") print(f"finder: {finder}") if finder >= 0: async for audio in tts.run_tts(f"Resetting."): transport.output_queue.put( Frame(FrameType.AUDIO_FRAME, audio)) sentence = "" continue # todo: we could differentiate between transcriptions from # different participants sentence += f" {message['text']}" print(f"sentence is now: {sentence}") # TODO: Cache this audio phrase = random.choice( ["OK.", "Got it.", "Sure.", "You bet.", "Sure thing."]) async for audio in tts.run_tts(phrase): transport.output_queue.put(Frame(FrameType.AUDIO_FRAME, audio)) img_result = img.run_image_gen(sentence, "1024x1024") awaited_img = await asyncio.gather(img_result) transport.output_queue.put( [ Frame(FrameType.IMAGE_FRAME, awaited_img[0][1]), ] ) @transport.event_handler("on_participant_joined") async def on_participant_joined(transport, participant): print(f"participant joined: {participant['info']['userName']}") if participant["info"]["isLocal"]: return async for audio in tts.run_tts("Describe an image, and I'll create it."): 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'.") async for audio in audio_generator: transport.output_queue.put(Frame(FrameType.AUDIO_FRAME, audio)) transport.transcription_settings["extra"]["punctuate"] = False transport.transcription_settings["extra"]["endpointing"] = False await asyncio.gather(transport.run(), handle_transcriptions()) if __name__ == "__main__": parser = argparse.ArgumentParser(description="Simple Daily Bot Sample") parser.add_argument( "-u", "--url", type=str, required=True, help="URL of the Daily room to join") parser.add_argument( "-k", "--apikey", type=str, required=True, help="Daily API Key (needed to create token)", ) args, unknown = parser.parse_known_args() # Create a meeting token for the given room with an expiration 1 hour in # the future. room_name: str = urllib.parse.urlparse(args.url).path[1:] expiration: float = time.time() + 60 * 60 res: requests.Response = requests.post( f"https://api.daily.co/v1/meeting-tokens", headers={ "Authorization": f"Bearer {args.apikey}"}, json={ "properties": { "room_name": room_name, "is_owner": True, "exp": expiration}}, ) if res.status_code != 200: raise Exception( f"Failed to create meeting token: {res.status_code} {res.text}") token: str = res.json()["token"] asyncio.run(main(args.url, token))