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+# 使用官方 PyTorch 基础镜像
+FROM pytorch/pytorch:2.3.1-cuda11.8-cudnn8-runtime
+
+# 切换到 root 用户以进行系统级安装
+USER root
+
+# 设置环境变量
+ENV PYTHONUNBUFFERED=1 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1 \
+    PIP_PREFER_BINARY=1 \
+    NUMBA_CACHE_DIR=/tmp/numba_cache
+
+# 设置工作目录
+WORKDIR /app
+
+# 安装系统依赖 (--- 在这里添加了 curl ---)
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+      wget curl ffmpeg libsox-dev git \
+      build-essential cmake ninja-build pkg-config && \
+    rm -rf /var/lib/apt/lists/* && \
+    mkdir -p /tmp/numba_cache && chmod -R 777 /tmp/numba_cache
+
+# 创建并授权 NLTK 数据目录
+RUN mkdir -p /nltk_data && chmod 777 /nltk_data
+
+# 克隆 GPT-SoVITS 仓库
+RUN git clone --depth 1 https://github.com/RVC-Boss/GPT-SoVITS.git /app
+
+# 安装 Python 依赖
+RUN pip install --upgrade pip && \
+    pip install --no-cache-dir -r /app/requirements.txt && \
+    pip install --no-cache-dir --force-reinstall numpy==1.23.5 librosa==0.9.2 numba==0.56.4 && \
+    pip install --no-cache-dir fastapi uvicorn soundfile huggingface_hub ffmpeg-python
+
+# 预下载 NLTK 数据包
+RUN python -c "import nltk; nltk.download('punkt', quiet=True, download_dir='/nltk_data'); nltk.download('averaged_perceptron_tagger', quiet=True, download_dir='/nltk_data'); nltk.download('averaged_perceptron_tagger_eng', quiet=True, download_dir='/nltk_data')"
+
+# 预下载官方支持模型
+COPY download_support_models.py /app/download_support_models.py
+RUN python /app/download_support_models.py || true
+
+# --- 从 Hugging Face Spaces 下载您自己的模型权重 ---
+ARG GPT_URL="https://huggingface.co/spaces/snsbhg/1111/resolve/main/weights/shantianliang_proplus_e32.ckpt"
+ARG SOVITS_URL="https://huggingface.co/spaces/snsbhg/1111/resolve/main/weights/shantianliang_proplus_e8_s192.pth"
+RUN mkdir -p /app/pretrained_models/shantianliang
+RUN wget -nv "$GPT_URL" -O /app/pretrained_models/shantianliang/shantianliang_proplus_e32.ckpt && \
+    wget -nv "$SOVITS_URL" -O /app/pretrained_models/shantianliang/shantianliang_proplus_e8_s192.pth
+
+# 复制参考音频
+COPY reference_audio/ /app/reference_audio/
+
+# --- [新] 复制监控和启动脚本 ---
+COPY monitor_and_upload.sh /app/monitor_and_upload.sh
+COPY start.sh /app/start.sh
+
+# --- [新] 赋予脚本执行权限 ---
+RUN chmod +x /app/start.sh /app/monitor_and_upload.sh
+
+# 更改 /app 目录所有权
+RUN chown -R 1000:1000 /app
+
+# 暴露 API 端口
+EXPOSE 7860
+
+# --- [修改] 使用 start.sh 脚本作为启动命令 ---
+CMD ["/app/start.sh"]

download_support_models.py

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+from huggingface_hub import snapshot_download
+import os
+
+# [关键修改] 将目标文件夹指向程序期望的正确路径
+target = "GPT_SoVITS/pretrained_models"
+os.makedirs(target, exist_ok=True)
+
+try:
+    snapshot_download(
+        repo_id="lj1995/GPT-SoVITS",
+        repo_type="model",
+        local_dir=target,
+        # 注意：这里我们下载全部预ciallo模型，而不仅仅是sv和chinese
+        # allow_patterns=["sv/*", "chinese*"],  # 暂时注释掉，确保所有基础模型都被下载ciallo
+    )
+    print("Support models downloaded to ./GPT_SoVITS/pretrained_models")
+except Exception as e:
+    print("Skipping support model download:", e)

monitor_and_upload.sh

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+#!/bin/bash
+
+# --- 配置区 ---
+# Alist 服务器地址 (保持不变)
+ALIST_URL="https://o.114514heihei.eu.org/od"
+# 本地日志文件路径
+LOG_FILE="/app/size_monitor.log"
+# 上传到 Alist 的路径和文件名
+REMOTE_PATH="/size_monitor.log"
+# 监控和上传的间隔时间（秒）
+SLEEP_INTERVAL=300 # 5分钟
+
+# --- 脚本主逻辑 ---
+
+echo "--- Starting Filesystem Monitor and Uploader ---" > $LOG_FILE
+echo "--- To enable uploads, set the ALIST_TOKEN environment variable. ---" >> $LOG_FILE
+
+while true; do
+  # --- 1. 记录大小 ---
+  TIMESTAMP=$(date '+%Y-%m-%d %H:%M:%S')
+  echo "--- Log entry at $TIMESTAMP ---" >> $LOG_FILE
+  
+  # 监控 /app 目录下所有子目录的大小
+  du -sh /app/* >> $LOG_FILE
+  echo "" >> $LOG_FILE
+
+  # --- 2. 上传日志 (检查环境变量是否存在) ---
+  if [ -n "$ALIST_TOKEN" ]; then
+    echo "Uploading log file to Alist server at $TIMESTAMP..."
+    
+    # 使用 curl 调用 Alist API 上传文件
+    # -s: 静默模式
+    # -o /dev/null: 丢弃标准输出
+    # -w "%{http_code}": 只输出 HTTP 状态码
+    HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X PUT \
+      --url "$ALIST_URL/api/fs/put" \
+      -H "Authorization: $ALIST_TOKEN" \
+      -H "File-Path: $REMOTE_PATH" \
+      -T "$LOG_FILE")
+
+    if [ "$HTTP_STATUS" -eq 200 ]; then
+      echo "Log file uploaded successfully (HTTP Status: $HTTP_STATUS)."
+    else
+      echo "Error: Failed to upload log file (HTTP Status: $HTTP_STATUS)."
+    fi
+  else
+    echo "Warning: ALIST_TOKEN environment variable is not set. Skipping upload."
+  fi
+
+  # --- 3. 等待 ---
+  sleep $SLEEP_INTERVAL
+done

start.sh

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+#!/bin/bash
+
+# 赋予监控脚本执行权限
+chmod +x /app/monitor_and_upload.sh
+
+# 在后台启动监控和上传脚本
+echo "Starting background monitor and uploader..."
+/app/monitor_and_upload.sh &
+
+# 在前台启动主应用程序
+echo "Starting main application (api_v2.py)..."
+exec python api_v2.py -a "0.0.0.0" -p "7860" -c "GPT_SoVITS/configs/tts_infer.yaml"