bde285dfce
Co-authored-by: root <root@idc708073.jf.intel.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Sihan Chen <39623753+Spycsh@users.noreply.github.com>
129 lines
4.6 KiB
Python
129 lines
4.6 KiB
Python
# Copyright (C) 2024 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import asyncio
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import os
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import sys
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from comps import Gateway, MegaServiceEndpoint, MicroService, ServiceOrchestrator, ServiceType
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from comps.cores.proto.api_protocol import AudioChatCompletionRequest, ChatCompletionResponse
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from comps.cores.proto.docarray import LLMParams
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from fastapi import Request
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MEGA_SERVICE_PORT = int(os.getenv("MEGA_SERVICE_PORT", 8888))
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ASR_SERVICE_HOST_IP = os.getenv("ASR_SERVICE_HOST_IP", "0.0.0.0")
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ASR_SERVICE_PORT = int(os.getenv("ASR_SERVICE_PORT", 9099))
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LLM_SERVICE_HOST_IP = os.getenv("LLM_SERVICE_HOST_IP", "0.0.0.0")
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LLM_SERVICE_PORT = int(os.getenv("LLM_SERVICE_PORT", 9000))
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TTS_SERVICE_HOST_IP = os.getenv("TTS_SERVICE_HOST_IP", "0.0.0.0")
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TTS_SERVICE_PORT = int(os.getenv("TTS_SERVICE_PORT", 9088))
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ANIMATION_SERVICE_HOST_IP = os.getenv("ANIMATION_SERVICE_HOST_IP", "0.0.0.0")
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ANIMATION_SERVICE_PORT = int(os.getenv("ANIMATION_SERVICE_PORT", 9066))
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def check_env_vars(env_var_list):
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for var in env_var_list:
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if os.getenv(var) is None:
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print(f"Error: The environment variable '{var}' is not set.")
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sys.exit(1) # Exit the program with a non-zero status code
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print("All environment variables are set.")
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class AvatarChatbotService(Gateway):
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def __init__(self, host="0.0.0.0", port=8000):
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self.host = host
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self.port = port
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self.megaservice = ServiceOrchestrator()
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def add_remote_service(self):
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asr = MicroService(
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name="asr",
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host=ASR_SERVICE_HOST_IP,
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port=ASR_SERVICE_PORT,
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endpoint="/v1/audio/transcriptions",
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use_remote_service=True,
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service_type=ServiceType.ASR,
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)
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llm = MicroService(
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name="llm",
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host=LLM_SERVICE_HOST_IP,
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port=LLM_SERVICE_PORT,
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endpoint="/v1/chat/completions",
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use_remote_service=True,
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service_type=ServiceType.LLM,
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)
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tts = MicroService(
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name="tts",
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host=TTS_SERVICE_HOST_IP,
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port=TTS_SERVICE_PORT,
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endpoint="/v1/audio/speech",
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use_remote_service=True,
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service_type=ServiceType.TTS,
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)
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animation = MicroService(
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name="animation",
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host=ANIMATION_SERVICE_HOST_IP,
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port=ANIMATION_SERVICE_PORT,
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endpoint="/v1/animation",
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use_remote_service=True,
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service_type=ServiceType.ANIMATION,
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)
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self.megaservice.add(asr).add(llm).add(tts).add(animation)
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self.megaservice.flow_to(asr, llm)
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self.megaservice.flow_to(llm, tts)
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self.megaservice.flow_to(tts, animation)
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async def handle_request(self, request: Request):
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data = await request.json()
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chat_request = AudioChatCompletionRequest.model_validate(data)
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parameters = LLMParams(
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# relatively lower max_tokens for audio conversation
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max_tokens=chat_request.max_tokens if chat_request.max_tokens else 128,
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top_k=chat_request.top_k if chat_request.top_k else 10,
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top_p=chat_request.top_p if chat_request.top_p else 0.95,
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temperature=chat_request.temperature if chat_request.temperature else 0.01,
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repetition_penalty=chat_request.presence_penalty if chat_request.presence_penalty else 1.03,
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streaming=False, # TODO add streaming LLM output as input to TTS
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)
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# print(parameters)
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result_dict, runtime_graph = await self.megaservice.schedule(
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initial_inputs={"byte_str": chat_request.audio}, llm_parameters=parameters
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)
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last_node = runtime_graph.all_leaves()[-1]
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response = result_dict[last_node]["video_path"]
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return response
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def start(self):
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super().__init__(
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megaservice=self.megaservice,
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host=self.host,
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port=self.port,
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endpoint=str(MegaServiceEndpoint.AVATAR_CHATBOT),
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input_datatype=AudioChatCompletionRequest,
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output_datatype=ChatCompletionResponse,
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)
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if __name__ == "__main__":
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check_env_vars(
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[
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"MEGA_SERVICE_HOST_IP",
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"MEGA_SERVICE_PORT",
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"ASR_SERVICE_HOST_IP",
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"ASR_SERVICE_PORT",
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"LLM_SERVICE_HOST_IP",
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"LLM_SERVICE_PORT",
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"TTS_SERVICE_HOST_IP",
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"TTS_SERVICE_PORT",
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"ANIMATION_SERVICE_HOST_IP",
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"ANIMATION_SERVICE_PORT",
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]
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)
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avatarchatbot = AvatarChatbotService(port=MEGA_SERVICE_PORT)
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avatarchatbot.add_remote_service()
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avatarchatbot.start()
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