examples: move non-working examples to to_be_updated
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@@ -6,6 +6,9 @@ import os
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from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
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from dailyai.transports.local_transport import LocalTransport
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from dotenv import load_dotenv
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load_dotenv(override=True)
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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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@@ -25,10 +28,7 @@ async def main():
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async def say_something():
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await asyncio.sleep(1)
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await tts.say(
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"Hello there.",
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transport.send_queue,
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)
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await transport.say("Hello there.", tts)
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await transport.stop_when_done()
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await asyncio.gather(transport.run(), say_something())
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@@ -3,12 +3,10 @@ import logging
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from dailyai.transports.daily_transport import DailyTransport
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from dailyai.services.whisper_ai_services import WhisperSTTService
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from dailyai.pipeline.pipeline import Pipeline
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from runner import configure
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from dotenv import load_dotenv
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load_dotenv(override=True)
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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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@@ -19,27 +17,26 @@ async def main(room_url: str):
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room_url,
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None,
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"Transcription bot",
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start_transcription=True,
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start_transcription=False,
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mic_enabled=False,
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camera_enabled=False,
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speaker_enabled=True,
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)
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stt = WhisperSTTService()
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transcription_output_queue = asyncio.Queue()
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pipeline = Pipeline([stt])
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pipeline.set_sink(transcription_output_queue)
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async def handle_transcription():
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print("`````````TRANSCRIPTION`````````")
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while True:
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item = await transcription_output_queue.get()
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print(item.text)
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async def handle_speaker():
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await stt.run_to_queue(
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transcription_output_queue, transport.get_receive_frames()
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)
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await asyncio.gather(transport.run(), handle_speaker(), handle_transcription())
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await asyncio.gather(transport.run(pipeline), handle_transcription())
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if __name__ == "__main__":
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@@ -1,32 +1,35 @@
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import argparse
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import asyncio
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import logging
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from dailyai.pipeline.frames import EndFrame, TranscriptionFrame
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from dailyai.pipeline.frames import EndFrame, TranscriptionFrame
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from dailyai.transports.local_transport import LocalTransport
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from dailyai.services.whisper_ai_services import WhisperSTTService
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from dailyai.pipeline.pipeline import Pipeline
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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: str):
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global transport
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global stt
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async def main():
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meeting_duration_minutes = 1
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transport = LocalTransport(
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mic_enabled=True,
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mic_enabled=False,
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camera_enabled=False,
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speaker_enabled=True,
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duration_minutes=meeting_duration_minutes,
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start_transcription=True,
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start_transcription=False,
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)
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stt = WhisperSTTService()
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transcription_output_queue = asyncio.Queue()
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transport_done = asyncio.Event()
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pipeline = Pipeline([stt])
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pipeline.set_sink(transcription_output_queue)
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async def handle_transcription():
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print("`````````TRANSCRIPTION`````````")
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while not transport_done.is_set():
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@@ -38,29 +41,13 @@ async def main(room_url: str):
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break
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print("handle_transcription done")
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async def handle_speaker():
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await stt.run_to_queue(
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transcription_output_queue, transport.get_receive_frames()
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)
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await transcription_output_queue.put(EndFrame())
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print("handle speaker done.")
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async def run_until_done():
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await transport.run()
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await transport.run(pipeline)
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transport_done.set()
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print("run_until_done done")
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await asyncio.gather(run_until_done(), handle_speaker(), handle_transcription())
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await asyncio.gather(run_until_done(), handle_transcription())
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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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asyncio.run(main())
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@@ -1,5 +1,4 @@
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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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@@ -11,12 +10,15 @@ 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.transports.local_transport import LocalTransport
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from dotenv import load_dotenv
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load_dotenv(override=True)
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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 def main():
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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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@@ -59,12 +61,8 @@ async def main(room_url):
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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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messages = [{"role": "system", "content": f"Describe a nature photograph suitable for use in a calendar, for the month of {
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month}. Include only the image description with no preamble. Limit the description to one sentence, please.", }]
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image_description = await llm.run_llm(messages)
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if not image_description:
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@@ -133,14 +131,4 @@ async def main(room_url):
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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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asyncio.run(main())
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