147 lines
4.7 KiB
Python
147 lines
4.7 KiB
Python
import aiohttp
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import argparse
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import asyncio
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import logging
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import tkinter as tk
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import os
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from dailyai.pipeline.frames import AudioFrame, ImageFrame
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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.services.fal_ai_services import FalImageGenService
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from dailyai.services.local_transport_service import LocalTransportService
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logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
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logger = logging.getLogger("dailyai")
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logger.setLevel(logging.DEBUG)
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async def main(room_url):
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async with aiohttp.ClientSession() as session:
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meeting_duration_minutes = 5
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tk_root = tk.Tk()
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tk_root.title("Calendar")
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transport = LocalTransportService(
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mic_enabled=True,
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camera_enabled=True,
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camera_width=1024,
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camera_height=1024,
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duration_minutes=meeting_duration_minutes,
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tk_root=tk_root,
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)
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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=os.getenv("ELEVENLABS_VOICE_ID"),
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)
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_CHATGPT_API_KEY"),
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model="gpt-4-turbo-preview")
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dalle = FalImageGenService(
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image_size="1024x1024",
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aiohttp_session=session,
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key_id=os.getenv("FAL_KEY_ID"),
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key_secret=os.getenv("FAL_KEY_SECRET"),
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)
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# Get a complete audio chunk from the given text. Splitting this into its own
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# coroutine lets us ensure proper ordering of the audio chunks on the
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# send queue.
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async def get_all_audio(text):
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all_audio = bytearray()
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async for audio in tts.run_tts(text):
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all_audio.extend(audio)
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return all_audio
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async def get_month_data(month):
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messages = [
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{
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"role": "system",
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"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.",
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}
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]
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image_description = await llm.run_llm(messages)
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if not image_description:
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return
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to_speak = f"{month}: {image_description}"
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audio_task = asyncio.create_task(get_all_audio(to_speak))
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image_task = asyncio.create_task(
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dalle.run_image_gen(image_description))
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(audio, image_data) = await asyncio.gather(audio_task, image_task)
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return {
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"month": month,
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"text": image_description,
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"image_url": image_data[0],
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"image": image_data[1],
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"audio": audio,
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}
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months: list[str] = [
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"January",
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"February",
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"March",
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"April",
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"May",
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"June",
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"July",
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"August",
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"September",
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"October",
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"November",
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"December",
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]
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async def show_images():
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# This will play the months in the order they're completed. The benefit
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# is we'll have as little delay as possible before the first month, and
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# likely no delay between months, but the months won't display in
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# order.
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for month_data_task in asyncio.as_completed(month_tasks):
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data = await month_data_task
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if data:
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await transport.send_queue.put(
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[
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ImageFrame(data["image_url"], data["image"]),
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AudioFrame(data["audio"]),
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]
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)
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await asyncio.sleep(25)
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# wait for the output queue to be empty, then leave the meeting
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await transport.stop_when_done()
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async def run_tk():
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while not transport._stop_threads.is_set():
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tk_root.update()
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tk_root.update_idletasks()
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await asyncio.sleep(0.1)
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month_tasks = [
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asyncio.create_task(
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get_month_data(month)) for month in months]
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await asyncio.gather(transport.run(), show_images(), run_tk())
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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",
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"--url",
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type=str,
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required=True,
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help="URL of the Daily room to join")
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args, unknown = parser.parse_known_args()
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asyncio.run(main(args.url))
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