-
Notifications
You must be signed in to change notification settings - Fork 200
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Add multi-language AudioQnA on Xeon (#982)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
- Loading branch information
1 parent
620ef76
commit 658867f
Showing
5 changed files
with
201 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,32 @@ | ||
|
||
|
||
# Copyright (C) 2024 Intel Corporation | ||
# SPDX-License-Identifier: Apache-2.0 | ||
|
||
FROM python:3.11-slim | ||
|
||
RUN apt-get update -y && apt-get install -y --no-install-recommends --fix-missing \ | ||
libgl1-mesa-glx \ | ||
libjemalloc-dev \ | ||
git | ||
|
||
RUN useradd -m -s /bin/bash user && \ | ||
mkdir -p /home/user && \ | ||
chown -R user /home/user/ | ||
|
||
WORKDIR /home/user/ | ||
RUN git clone https://github.com/opea-project/GenAIComps.git | ||
|
||
WORKDIR /home/user/GenAIComps | ||
RUN pip install --no-cache-dir --upgrade pip && \ | ||
pip install --no-cache-dir -r /home/user/GenAIComps/requirements.txt | ||
|
||
COPY ./audioqna_multilang.py /home/user/audioqna_multilang.py | ||
|
||
ENV PYTHONPATH=$PYTHONPATH:/home/user/GenAIComps | ||
|
||
USER user | ||
|
||
WORKDIR /home/user | ||
|
||
ENTRYPOINT ["python", "audioqna_multilang.py"] |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,98 @@ | ||
# Copyright (C) 2024 Intel Corporation | ||
# SPDX-License-Identifier: Apache-2.0 | ||
|
||
import asyncio | ||
import base64 | ||
import os | ||
|
||
from comps import AudioQnAGateway, MicroService, ServiceOrchestrator, ServiceType | ||
|
||
MEGA_SERVICE_HOST_IP = os.getenv("MEGA_SERVICE_HOST_IP", "0.0.0.0") | ||
MEGA_SERVICE_PORT = int(os.getenv("MEGA_SERVICE_PORT", 8888)) | ||
|
||
WHISPER_SERVER_HOST_IP = os.getenv("WHISPER_SERVER_HOST_IP", "0.0.0.0") | ||
WHISPER_SERVER_PORT = int(os.getenv("WHISPER_SERVER_PORT", 7066)) | ||
GPT_SOVITS_SERVER_HOST_IP = os.getenv("GPT_SOVITS_SERVER_HOST_IP", "0.0.0.0") | ||
GPT_SOVITS_SERVER_PORT = int(os.getenv("GPT_SOVITS_SERVER_PORT", 9088)) | ||
LLM_SERVER_HOST_IP = os.getenv("LLM_SERVER_HOST_IP", "0.0.0.0") | ||
LLM_SERVER_PORT = int(os.getenv("LLM_SERVER_PORT", 8888)) | ||
|
||
|
||
def align_inputs(self, inputs, cur_node, runtime_graph, llm_parameters_dict, **kwargs): | ||
print(inputs) | ||
if self.services[cur_node].service_type == ServiceType.ASR: | ||
# {'byte_str': 'UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA'} | ||
inputs["audio"] = inputs["byte_str"] | ||
del inputs["byte_str"] | ||
elif self.services[cur_node].service_type == ServiceType.LLM: | ||
# convert TGI/vLLM to unified OpenAI /v1/chat/completions format | ||
next_inputs = {} | ||
next_inputs["model"] = "tgi" # specifically clarify the fake model to make the format unified | ||
next_inputs["messages"] = [{"role": "user", "content": inputs["asr_result"]}] | ||
next_inputs["max_tokens"] = llm_parameters_dict["max_tokens"] | ||
next_inputs["top_p"] = llm_parameters_dict["top_p"] | ||
next_inputs["stream"] = inputs["streaming"] # False as default | ||
next_inputs["frequency_penalty"] = inputs["frequency_penalty"] | ||
# next_inputs["presence_penalty"] = inputs["presence_penalty"] | ||
# next_inputs["repetition_penalty"] = inputs["repetition_penalty"] | ||
next_inputs["temperature"] = inputs["temperature"] | ||
inputs = next_inputs | ||
elif self.services[cur_node].service_type == ServiceType.TTS: | ||
next_inputs = {} | ||
next_inputs["text"] = inputs["choices"][0]["message"]["content"] | ||
next_inputs["text_language"] = kwargs["tts_text_language"] if "tts_text_language" in kwargs else "zh" | ||
inputs = next_inputs | ||
return inputs | ||
|
||
|
||
def align_outputs(self, data, cur_node, inputs, runtime_graph, llm_parameters_dict, **kwargs): | ||
if self.services[cur_node].service_type == ServiceType.TTS: | ||
audio_base64 = base64.b64encode(data).decode("utf-8") | ||
return {"byte_str": audio_base64} | ||
return data | ||
|
||
|
||
class AudioQnAService: | ||
def __init__(self, host="0.0.0.0", port=8000): | ||
self.host = host | ||
self.port = port | ||
ServiceOrchestrator.align_inputs = align_inputs | ||
ServiceOrchestrator.align_outputs = align_outputs | ||
self.megaservice = ServiceOrchestrator() | ||
|
||
def add_remote_service(self): | ||
asr = MicroService( | ||
name="asr", | ||
host=WHISPER_SERVER_HOST_IP, | ||
port=WHISPER_SERVER_PORT, | ||
# endpoint="/v1/audio/transcriptions", | ||
endpoint="/v1/asr", | ||
use_remote_service=True, | ||
service_type=ServiceType.ASR, | ||
) | ||
llm = MicroService( | ||
name="llm", | ||
host=LLM_SERVER_HOST_IP, | ||
port=LLM_SERVER_PORT, | ||
endpoint="/v1/chat/completions", | ||
use_remote_service=True, | ||
service_type=ServiceType.LLM, | ||
) | ||
tts = MicroService( | ||
name="tts", | ||
host=GPT_SOVITS_SERVER_HOST_IP, | ||
port=GPT_SOVITS_SERVER_PORT, | ||
# endpoint="/v1/audio/speech", | ||
endpoint="/", | ||
use_remote_service=True, | ||
service_type=ServiceType.TTS, | ||
) | ||
self.megaservice.add(asr).add(llm).add(tts) | ||
self.megaservice.flow_to(asr, llm) | ||
self.megaservice.flow_to(llm, tts) | ||
self.gateway = AudioQnAGateway(megaservice=self.megaservice, host="0.0.0.0", port=self.port) | ||
|
||
|
||
if __name__ == "__main__": | ||
audioqna = AudioQnAService(host=MEGA_SERVICE_HOST_IP, port=MEGA_SERVICE_PORT) | ||
audioqna.add_remote_service() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
64 changes: 64 additions & 0 deletions
64
AudioQnA/docker_compose/intel/cpu/xeon/compose_multilang.yaml
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,64 @@ | ||
# Copyright (C) 2024 Intel Corporation | ||
# SPDX-License-Identifier: Apache-2.0 | ||
|
||
services: | ||
whisper-service: | ||
image: ${REGISTRY:-opea}/whisper:${TAG:-latest} | ||
container_name: whisper-service | ||
ports: | ||
- "7066:7066" | ||
ipc: host | ||
environment: | ||
no_proxy: ${no_proxy} | ||
http_proxy: ${http_proxy} | ||
https_proxy: ${https_proxy} | ||
restart: unless-stopped | ||
command: --language "zh" | ||
gpt-sovits-service: | ||
image: ${REGISTRY:-opea}/gpt-sovits:${TAG:-latest} | ||
container_name: gpt-sovits-service | ||
ports: | ||
- "9880:9880" | ||
ipc: host | ||
environment: | ||
no_proxy: ${no_proxy} | ||
http_proxy: ${http_proxy} | ||
https_proxy: ${https_proxy} | ||
restart: unless-stopped | ||
tgi-service: | ||
image: ghcr.io/huggingface/text-generation-inference:sha-e4201f4-intel-cpu | ||
container_name: tgi-service | ||
ports: | ||
- "3006:80" | ||
volumes: | ||
- "./data:/data" | ||
shm_size: 1g | ||
environment: | ||
no_proxy: ${no_proxy} | ||
http_proxy: ${http_proxy} | ||
https_proxy: ${https_proxy} | ||
HF_TOKEN: ${HUGGINGFACEHUB_API_TOKEN} | ||
command: --model-id ${LLM_MODEL_ID} --cuda-graphs 0 | ||
audioqna-xeon-backend-server: | ||
image: ${REGISTRY:-opea}/audioqna-multilang:${TAG:-latest} | ||
container_name: audioqna-xeon-backend-server | ||
ports: | ||
- "3008:8888" | ||
environment: | ||
- no_proxy=${no_proxy} | ||
- https_proxy=${https_proxy} | ||
- http_proxy=${http_proxy} | ||
- MEGA_SERVICE_HOST_IP=${MEGA_SERVICE_HOST_IP} | ||
- LLM_SERVER_HOST_IP=${LLM_SERVER_HOST_IP} | ||
- LLM_SERVER_PORT=${LLM_SERVER_PORT} | ||
- LLM_MODEL_ID=${LLM_MODEL_ID} | ||
- WHISPER_SERVER_HOST_IP=${WHISPER_SERVER_HOST_IP} | ||
- WHISPER_SERVER_PORT=${WHISPER_SERVER_PORT} | ||
- GPT_SOVITS_SERVER_HOST_IP=${GPT_SOVITS_SERVER_HOST_IP} | ||
- GPT_SOVITS_SERVER_PORT=${GPT_SOVITS_SERVER_PORT} | ||
ipc: host | ||
restart: always | ||
|
||
networks: | ||
default: | ||
driver: bridge |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters