import argparse import asyncio import aiohttp from dailyai.queue_frame import AudioQueueFrame, ImageQueueFrame from dailyai.services.azure_ai_services import AzureLLMService from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService from dailyai.services.daily_transport_service import DailyTransportService from dailyai.services.fal_ai_services import FalImageGenService async def main(room_url): async with aiohttp.ClientSession() as session: meeting_duration_minutes = 5 transport = DailyTransportService( room_url, None, "Month Narration Bot", meeting_duration_minutes, ) transport.mic_enabled = True transport.camera_enabled = True transport.mic_sample_rate = 16000 transport.camera_width = 1024 transport.camera_height = 1024 llm = AzureLLMService() dalle = FalImageGenService(aiohttp_session=session, image_size="1024x1024") tts = ElevenLabsTTSService(aiohttp_session=session, voice_id="ErXwobaYiN019PkySvjV") # dalle = OpenAIImageGenService(image_size="1024x1024") # Get a complete audio chunk from the given text. Splitting this into its own # coroutine lets us ensure proper ordering of the audio chunks on the send queue. async def get_all_audio(text): all_audio = bytearray() async for audio in tts.run_tts(text): all_audio.extend(audio) return all_audio async def get_month_data(month): messages = [ { "role": "system", "content": f"Describe a nature photograph suitable for use in a calendar, for the month of {month}. Include only the image description with no preamble. Limit the description to one sentence, please.", } ] image_description = await llm.run_llm(messages) if not image_description: return to_speak = f"{month}: {image_description}" audio_task = asyncio.create_task(get_all_audio(to_speak)) image_task = asyncio.create_task(dalle.run_image_gen(image_description)) (audio, image_data) = await asyncio.gather( audio_task, image_task ) return { "month": month, "text": image_description, "image_url": image_data[0], "image": image_data[1], "audio": audio, } months: list[str] = [ "January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December", ] @transport.event_handler("on_first_other_participant_joined") async def on_first_other_participant_joined(transport): # This will play the months in the order they're completed. The benefit # is we'll have as little delay as possible before the first month, and # likely no delay between months, but the months won't display in order. for month_data_task in asyncio.as_completed(month_tasks): data = await month_data_task if data: await transport.send_queue.put( [ ImageQueueFrame(data["image_url"], data["image"]), AudioQueueFrame(data["audio"]), ] ) # wait for the output queue to be empty, then leave the meeting await transport.stop_when_done() month_tasks = [asyncio.create_task(get_month_data(month)) for month in months] await transport.run() 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" ) args, unknown = parser.parse_known_args() asyncio.run(main(args.url))