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more updates to bots arguing

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This commit is contained in:
Chad Bailey
2024-01-22 16:09:46 +00:00
parent 6c17594f1f
commit c7c816feb3
4 changed files with 129 additions and 9 deletions
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2
src/dailyai/services/daily_transport_service.py
View File

@@ -50,7 +50,7 @@ class DailyTransportService(EventHandler):
self.camera_height = 768
self.camera_enabled = False
self.send_queue = asyncio.Queue()
self.send_queue = asyncio.Queue(maxsize=5)
self.receive_queue = asyncio.Queue()
self.other_participant_has_joined = False

3
src/dailyai/services/fal_ai_services.py
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@@ -24,8 +24,7 @@ class FalImageGenService(ImageGenService):
print("past fal handler init, about to wait for iter_events...")
for event in handler.iter_events():
if isinstance(event, fal.apps.InProgress):
print('Request in progress')
print(event.logs)
pass
result = handler.get()

14
src/samples/theoretical-to-real/09a-characters-arguing.py
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@@ -8,6 +8,7 @@ from dailyai.services.daily_transport_service import DailyTransportService
from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
from dailyai.services.fal_ai_services import FalImageGenService
from dailyai.services.open_ai_services import OpenAIImageGenService
from dailyai.queue_frame import QueueFrame, FrameType
async def main(room_url:str):
@@ -19,7 +20,7 @@ async def main(room_url:str):
room_url,
None,
"Respond bot",
5,
600,
)
transport.mic_enabled = True
transport.mic_sample_rate = 16000
@@ -31,12 +32,13 @@ async def main(room_url:str):
tts1 = AzureTTSService()
tts2 = ElevenLabsTTSService()
dalle = FalImageGenService(image_size="1024x1024")
# dalle = OpenAIImageGenService(image_size="1024x1024")
bot1_messages = [
{"role": "system", "content": "You are a stern librarian. You strongly believe that a hot dog is a sandwich. Start by stating this fact in a few sentences, then be prepared to debate this with the user. Your responses should only be a few sentences long."},
{"role": "system", "content": "You are a stern librarian. You strongly believe that a hot dog is a sandwich. Start by stating this fact in a few sentences, then be prepared to debate this with the user. You shouldn't ever compromise on the fundamental truth that a hot dog is a sandwich. Your responses should only be a few sentences long."},
]
bot2_messages = [
{"role": "system", "content": "You are a silly cat, and you strongly believe that a hot dog is not a sandwich. Debate this with the user, only responding with a few sentences."},
{"role": "system", "content": "You are a silly cat, and you strongly believe that a hot dog is not a sandwich. Debate this with the user, only responding with a few sentences. Don't ever accept that a hot dog is a sandwich."},
]
async def get_bot1_statement():
@@ -66,10 +68,10 @@ async def main(room_url:str):
return all_audio
async def argue():
for i in range(1, 5):
for i in range(100):
print(f"In iteration {i}")
bot1_description = "An older woman dressed as a librarian, cartoon, serious, highly detailed, 8k"
bot1_description = "A woman conservatively dressed as a librarian in a library surrounded by books, cartoon, serious, highly detailed"
(audio1, image_data1) = await asyncio.gather(
get_bot1_statement(), dalle.run_image_gen(bot1_description)
@@ -81,7 +83,7 @@ async def main(room_url:str):
]
)
bot2_description = "A cat dressed in a hot dog costume, cartoon, bright colors, funny, highly detailed, 8k"
bot2_description = "A cat dressed in a hot dog costume, cartoon, bright colors, funny, highly detailed"
(audio2, image_data2) = await asyncio.gather(
get_bot2_statement(), dalle.run_image_gen(bot2_description)

119
src/samples/theoretical-to-real/09b-debate-generator.py Normal file
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@@ -0,0 +1,119 @@
import argparse
import asyncio
import requests
import time
import urllib.parse
from dailyai.services.daily_transport_service import DailyTransportService
from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
from dailyai.services.fal_ai_services import FalImageGenService
from dailyai.services.open_ai_services import OpenAIImageGenService
from dailyai.queue_frame import QueueFrame, FrameType
async def main(room_url:str):
global transport
global llm
global tts
transport = DailyTransportService(
room_url,
None,
"Respond bot",
600,
)
transport.mic_enabled = True
transport.mic_sample_rate = 16000
transport.camera_enabled = True
transport.camera_width = 1024
transport.camera_height = 1024
llm = AzureLLMService()
tts1 = AzureTTSService()
tts2 = ElevenLabsTTSService()
dalle = FalImageGenService(image_size="1024x1024")
# dalle = OpenAIImageGenService(image_size="1024x1024")
topic = "Are pokemon edible?"
affirmative = "A woman dressed as a cowboy, outside on a ranch"
negative = "Pikachu in a business suit"
topic = "Is a hot dog a sandwich?"
affirmative = "A woman conservatively dressed as a librarian in a library surrounded by books"
negative = "A cat dressed in a hot dog costume"
bot1_messages = [
{"role": "system", "content": f"You are {affirmative}. You're in a debate, and the topic is: '{topic}'. You're arguing the affirmative. Start by stating this fact in a few sentences, then be prepared to debate this with the user. You shouldn't ever agree with the user. Your responses should only be a few sentences long."},
]
bot2_messages = [
{"role": "system", "content": f"You are {negative}. You're in a debate, and the topic is: '{topic}'. You're arguing the negative. Debate this with the user, only responding with a few sentences. Don't ever agree with the user."},
]
async def get_bot1_statement():
# Run the LLMs synchronously for the back-and-forth
bot1_msg = await llm.run_llm(bot1_messages)
print(f"bot1_msg: {bot1_msg}")
bot1_messages.append({"role": "assistant", "content": bot1_msg})
bot2_messages.append({"role": "user", "content": bot1_msg})
all_audio = bytearray()
async for audio in tts1.run_tts(bot1_msg):
all_audio.extend(audio)
return all_audio
async def get_bot2_statement():
# Run the LLMs synchronously for the back-and-forth
bot2_msg = await llm.run_llm(bot2_messages)
print(f"bot2_msg: {bot2_msg}")
bot2_messages.append({"role": "assistant", "content": bot2_msg})
bot1_messages.append({"role": "user", "content": bot2_msg})
all_audio = bytearray()
async for audio in tts2.run_tts(bot2_msg):
all_audio.extend(audio)
return all_audio
async def argue():
for i in range(100):
print(f"In iteration {i}")
bot1_description = f"{affirmative}, cartoon, highly detailed"
(audio1, image_data1) = await asyncio.gather(
get_bot1_statement(), dalle.run_image_gen(bot1_description)
)
await transport.send_queue.put(
[
QueueFrame(FrameType.IMAGE, image_data1[1]),
QueueFrame(FrameType.AUDIO, audio1),
]
)
bot2_description = f"{negative}, cartoon, bright colors, funny, highly detailed"
(audio2, image_data2) = await asyncio.gather(
get_bot2_statement(), dalle.run_image_gen(bot2_description)
)
await transport.send_queue.put(
[
QueueFrame(FrameType.IMAGE, image_data2[1]),
QueueFrame(FrameType.AUDIO, audio2),
]
)
await asyncio.gather(transport.run(), argue())
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))