deploy docker
This commit is contained in:
@@ -0,0 +1,15 @@
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# 排除 TTS 目录
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TTS/
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# 排除 sample 目录
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sample/
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# 排除其他不需要的文件
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__pycache__/
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*.pyc
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*.pyo
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*.pyd
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.Python
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env/
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venv/
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.env
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*.log
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+3
-3
@@ -25,13 +25,13 @@ REDIS_SESSION_DB_KO=50
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# GPT-SoVITS 配置
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GPT_MODEL_PATH=GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt
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SOVITS_MODEL_PATH=GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth
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GPT_MODEL_PATH=TTS/GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt
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SOVITS_MODEL_PATH=TTS/GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth
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REF_AUDIO_PATH=sample/woman.wav
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REF_TEXT_PATH=sample/woman.txt
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REF_LANGUAGE=中文
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TARGET_LANGUAGE=多语种混合
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OUTPUT_PATH=/obscura/task/audio_files
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OUTPUT_PATH=${OBSCURA_AUDIO_PATH:-/obscura/task/audio_files}
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# VOICE_CONFIGS
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GIRL_REF_AUDIO=sample/gril.wav
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@@ -0,0 +1,82 @@
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# 构建阶段
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FROM swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04 AS builder
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ENV DEBIAN_FRONTEND=noninteractive
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ENV TZ=Asia/Shanghai
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# 配置apt源为清华源
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RUN sed -i 's/archive.ubuntu.com/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list && \
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sed -i 's/security.ubuntu.com/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list
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RUN apt-get update && apt-get install -y \
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software-properties-common \
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curl \
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build-essential \
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&& add-apt-repository ppa:deadsnakes/ppa \
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&& apt-get update \
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&& apt-get install -y python3.11 python3.11-dev python3.11-distutils \
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&& curl -sS https://bootstrap.pypa.io/get-pip.py -o get-pip.py \
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&& python3.11 get-pip.py -i https://pypi.tuna.tsinghua.edu.cn/simple \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# 设置Python 3.11为默认版本
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RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1 && \
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update-alternatives --set python3 /usr/bin/python3.11
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WORKDIR /api_chat
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# 配置pip源为清华源
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RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
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# 安装依赖
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COPY requirements.txt .
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RUN python3 -m pip install --no-cache-dir -r requirements.txt
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# 修复LangSegment库
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RUN sed -i 's/from .LangSegment import LangSegment,getTexts,classify,getCounts,printList,setLangfilters,getLangfilters,setfilters,getfilters/from .LangSegment import LangSegment,getTexts,classify,getCounts,printList,setfilters,getfilters/' /usr/local/lib/python3.11/dist-packages/LangSegment/__init__.py
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# 最终阶段
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FROM swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04
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ENV DEBIAN_FRONTEND=noninteractive
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ENV TZ=Asia/Shanghai
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# 添加路径映射环境变量
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ENV OBSCURA_BASE_PATH=/obscura
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ENV OBSCURA_AUDIO_PATH=/obscura/task/audio_files
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# 配置apt源为清华源
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RUN sed -i 's/archive.ubuntu.com/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list && \
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sed -i 's/security.ubuntu.com/mirrors.tuna.tsinghua.edu.cn/g' /etc/apt/sources.list
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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libgl1-mesa-glx \
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python3.11 \
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python3.11-distutils \
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libglib2.0-0 \
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libsm6 \
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libxext6 \
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libxrender-dev \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# 设置Python 3.11为默认版本
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RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1 && \
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update-alternatives --set python3 /usr/bin/python3.11
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WORKDIR /api_chat
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# 从构建阶段复制Python包
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COPY --from=builder /usr/local/lib/python3.11/dist-packages /usr/local/lib/python3.11/dist-packages
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# 创建必要的目录(这些目录将被挂载)
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RUN mkdir -p ${OBSCURA_AUDIO_PATH} /sample /TTS
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# 复制应用代码,包括TTS目录
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COPY . .
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# 启动服务并保持容器运行
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CMD ["sh", "-c", "bash start.sh && tail -f /dev/null"]
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2699902
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@@ -0,0 +1 @@
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2700008
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@@ -0,0 +1 @@
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2699821
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@@ -0,0 +1,129 @@
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async_timeout>=4.0.0
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aiofiles==23.2.1
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aiohappyeyeballs==2.6.1
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aiohttp==3.11.16
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aiosignal==1.3.2
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annotated-types==0.7.0
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anyio==4.9.0
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attrs==25.3.0
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audioread==3.0.1
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av==14.3.0
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certifi==2025.1.31
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cffi==1.17.1
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charset-normalizer==3.4.1
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click==8.1.8
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cn2an==0.5.23
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coloredlogs==15.0.1
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contourpy==1.3.1
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cycler==0.12.1
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decorator==5.2.1
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decord==0.6.0
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einops==0.8.1
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fastapi==0.115.12
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ffmpeg-python==0.2.0
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ffmpy==0.5.0
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filelock==3.18.0
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flatbuffers==25.2.10
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fonttools==4.56.0
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frozenlist==1.5.0
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fsspec==2025.3.2
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future==1.0.0
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g2p-en==2.1.0
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gradio==5.23.3
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gradio_client==1.8.0
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h11==0.14.0
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httpcore==1.0.7
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httpx==0.28.1
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huggingface-hub==0.30.1
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humanfriendly==10.0
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idna==3.10
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inflect==7.5.0
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jieba_fast==0.53
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Jinja2==3.1.6
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joblib==1.4.2
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kafka-python==2.1.4
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kiwisolver==1.4.8
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LangSegment==0.2.0
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lazy_loader==0.4
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librosa==0.11.0
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lightning-utilities==0.14.2
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llvmlite==0.44.0
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markdown-it-py==3.0.0
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MarkupSafe==3.0.2
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matplotlib==3.10.1
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mdurl==0.1.2
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more-itertools==10.6.0
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mpmath==1.3.0
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msgpack==1.1.0
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multidict==6.2.0
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networkx==3.4.2
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nltk==3.9.1
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numba==0.61.0
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numpy==1.24.3
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onnxruntime==1.21.0
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onnxruntime-gpu==1.21.0
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openai-whisper==20240930
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opencc-python-reimplemented==0.1.7
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orjson==3.10.16
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opencv-python
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packaging==24.2
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pandas==2.2.3
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pillow==11.1.0
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platformdirs==4.3.7
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pooch==1.8.2
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propcache==0.3.1
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protobuf==6.30.2
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py3langid==0.2.2
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pycparser==2.22
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pydantic==2.11.1
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pydantic_core==2.33.0
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pydub==0.25.1
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pyee==13.0.0
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Pygments==2.19.1
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pyparsing==3.2.3
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pypinyin==0.54.0
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python-dateutil==2.9.0.post0
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python-dotenv==1.1.0
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python-multipart==0.0.20
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pytorch-lightning==2.5.1
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pytz==2025.2
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PyYAML==6.0.2
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qwen-vl-utils==0.0.10
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redis==5.2.1
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regex==2024.11.6
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requests==2.32.3
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rich==14.0.0
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ruff==0.11.2
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safehttpx==0.1.6
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safetensors==0.5.3
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scikit-learn==1.6.1
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scipy==1.15.2
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.17.0
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sniffio==1.3.1
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soundfile==0.13.1
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soxr==0.5.0.post1
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starlette==0.46.1
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sympy==1.13.3
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threadpoolctl==3.6.0
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tiktoken==0.9.0
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tokenizers==0.21.1
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tomlkit==0.13.2
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torch==2.1.0
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torchmetrics==1.7.0
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torchvision==0.16.0
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tqdm==4.67.1
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transformers==4.50.3
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triton==2.1.0
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typeguard==4.4.2
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typer==0.15.2
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typing-inspection==0.4.0
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typing_extensions==4.13.0
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tzdata==2025.2
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urllib3==2.3.0
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utils==1.0.2
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uvicorn==0.34.0
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websockets==15.0.1
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wordsegment==1.3.1
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yarl==1.18.3
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Executable
+36
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#!/bin/bash
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# 设置工作目录
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cd "$(dirname "$0")"
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# 创建日志目录
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mkdir -p logs
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# 创建存放PID文件的目录
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mkdir -p pids
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# 定义要启动的服务
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services=(
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"tts.py"
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"asr.py"
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"chat.py"
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)
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# 启动所有服务
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for service in "${services[@]}"; do
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echo "启动 $service..."
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# 直接在后台运行Python服务
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python3 "$service" > "logs/${service%.py}.log" 2>&1 &
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# 记录进程ID
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echo $! > "pids/${service%.py}.pid"
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# 等待几秒钟,确保服务正常启动
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sleep 2
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done
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echo "所有服务已启动,请检查logs目录下的日志文件"
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echo "使用 'cat logs/*.log' 查看日志"
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# 保持容器运行
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while true; do
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sleep 1
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done
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+2
-2
@@ -5,8 +5,8 @@ import hashlib
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import json
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import traceback
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from kafka import KafkaConsumer
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from tools.i18n.i18n import I18nAuto
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from GPT_SoVITS.inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav
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from TTS.tools.i18n.i18n import I18nAuto
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from TTS.GPT_SoVITS.inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav
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from dotenv import load_dotenv
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import torch
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@@ -1 +1 @@
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{"GPT": {"v1": "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt", "v2": "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt"}, "SoVITS": {"v1": "GPT_SoVITS/pretrained_models/s2G488k.pth", "v2": "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth"}}
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{"GPT": {"v1": "TTS/GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt", "v2": "TTS/GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt"}, "SoVITS": {"v1": "TTS/GPT_SoVITS/pretrained_models/s2G488k.pth", "v2": "TTS/GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth"}}
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Block a user