feat(M2.1): 设备端部署脚本 + whisper LD_LIBRARY_PATH + dog/cat 角色人设配置

This commit is contained in:
2026-07-04 15:44:48 +08:00
parent 4877d54a1c
commit 6810d1ca13
7 changed files with 138 additions and 3 deletions

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@@ -1159,5 +1159,14 @@
"enabled": true,
"host": "0.0.0.0",
"port": 5000
},
"character": {
"name": "小喵",
"character_type": "pet",
"persona_prompt": "你是一只慵懒傲娇的猫咪,名叫小喵。用简短慵懒的口吻回答,偶尔带'喵~',每次回复不超过两句话。"
},
"ai": {
"backend": "local",
"whisper_lib_dir": "/home/showen/ai_spike/whisper.cpp/build/bin"
}
}

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@@ -1171,5 +1171,14 @@
"enabled": true,
"host": "0.0.0.0",
"port": 5000
},
"character": {
"name": "小汪",
"character_type": "pet",
"persona_prompt": "你是一只活泼的小狗,名叫小汪。用简短俏皮的口吻回答,以'汪!'开头,每次回复不超过两句话。"
},
"ai": {
"backend": "local",
"whisper_lib_dir": "/home/showen/ai_spike/whisper.cpp/build/bin"
}
}

87
scripts/deploy_ai.sh Normal file
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@@ -0,0 +1,87 @@
#!/bin/bash
# M2.1 设备端部署脚本 — 部署 AI 推理二进制 + 模型文件
# 用法: bash scripts/deploy_ai.sh
# 前置: ~/ai_spike/ 存在 (spike 2026-07-03 保留)
set -e
SPIKE_DIR="$HOME/ai_spike"
PROJECT_DIR="$(cd "$(dirname "$0")/.." && pwd)"
TOOLS_DIR="$PROJECT_DIR/tools"
MODEL_STORE="$PROJECT_DIR/model_store"
echo "=== M2.1 AI 部署 ==="
echo "项目: $PROJECT_DIR"
echo "spike: $SPIKE_DIR"
# 检查 spike 目录
if [ ! -d "$SPIKE_DIR" ]; then
echo "错误: spike 目录不存在 ($SPIKE_DIR)"
echo "请先完成 spike (参考 TEAM_CHAT.md 2026-07-03 张明远报告)"
exit 1
fi
# 1. 部署二进制到 tools/
echo "--- 部署二进制到 tools/ ---"
mkdir -p "$TOOLS_DIR"
# whisper-cli (依赖 libggml*.so需设 LD_LIBRARY_PATH 或 RPATH)
ln -sf "$SPIKE_DIR/whisper.cpp/build/bin/whisper-cli" "$TOOLS_DIR/whisper-cli"
echo " ✓ whisper-cli"
# llama-cli
ln -sf "$SPIKE_DIR/llama.cpp/build/bin/llama-cli" "$TOOLS_DIR/llama-cli"
echo " ✓ llama-cli"
# piper
ln -sf "$SPIKE_DIR/piper/piper" "$TOOLS_DIR/piper"
echo " ✓ piper"
# 2. 部署模型到 model_store/
echo "--- 部署模型到 model_store/ ---"
mkdir -p "$MODEL_STORE/llm" "$MODEL_STORE/asr" "$MODEL_STORE/tts"
# LLM: Qwen2.5-0.5B (默认推荐)
ln -sf "$SPIKE_DIR/models/qwen2.5-0.5b-instruct-q4_k_m.gguf" "$MODEL_STORE/llm/qwen2.5-0.5b-q4_k_m.gguf"
echo " ✓ llm/qwen2.5-0.5b-q4_k_m.gguf (469M, 推荐默认)"
# LLM: Gemma3-1B (可选档)
ln -sf "$SPIKE_DIR/models/gemma-3-1b-it-Q4_K_M.gguf" "$MODEL_STORE/llm/gemma3-1b-q4_k_m.gguf"
echo " ✓ llm/gemma3-1b-q4_k_m.gguf (769M, 可选档)"
# ASR: whisper tiny
ln -sf "$SPIKE_DIR/models/ggml-tiny.bin" "$MODEL_STORE/asr/ggml-tiny.bin"
echo " ✓ asr/ggml-tiny.bin (75M)"
# ASR: whisper base (备选)
ln -sf "$SPIKE_DIR/models/ggml-base.bin" "$MODEL_STORE/asr/ggml-base.bin"
echo " ✓ asr/ggml-base.bin (142M, 备选)"
# TTS: piper zh_CN-huayan-medium
ln -sf "$SPIKE_DIR/piper/zh_CN-huayan-medium.onnx" "$MODEL_STORE/tts/zh_CN-huayan-medium.onnx"
ln -sf "$SPIKE_DIR/piper/zh_CN-huayan-medium.onnx.json" "$MODEL_STORE/tts/zh_CN-huayan-medium.onnx.json"
echo " ✓ tts/zh_CN-huayan-medium.onnx (63M)"
# 3. 设置 whisper LD_LIBRARY_PATH (whisper-cli 依赖 libggml*.so)
WHISPER_LIB="$SPIKE_DIR/whisper.cpp/build/bin"
echo "--- whisper 依赖库路径: $WHISPER_LIB ---"
# 4. 验证
echo "=== 验证 ==="
echo "tools/:"
ls -la "$TOOLS_DIR"
echo "model_store/:"
ls -laR "$MODEL_STORE"
# 测试 llama-cli 能跑
echo "--- 测试 llama-cli ---"
"$TOOLS_DIR/llama-cli" --version 2>&1 | head -1 || echo " (llama-cli 版本检查失败, 可能仍可用)"
# 测试 piper 能跑
echo "--- 测试 piper ---"
"$TOOLS_DIR/piper" --help 2>&1 | head -1 || echo " (piper 帮助检查失败, 可能仍可用)"
echo "=== 部署完成 ==="
echo ""
echo "注意: whisper-cli 运行时需要 LD_LIBRARY_PATH 包含:"
echo " $WHISPER_LIB"
echo "建议在 systemd service 或启动脚本中设置此环境变量"

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@@ -381,6 +381,9 @@ pub struct AiConfig {
/// 工具目录 (whisper-cli/llama-cli/piper 二进制所在)
#[serde(default = "default_tools_dir")]
pub tools_dir: PathBuf,
/// whisper-cli 依赖库路径 (libggml*.so 所在,部署时标定)
#[serde(default)]
pub whisper_lib_dir: Option<PathBuf>,
/// 临时文件目录
#[serde(default = "default_tmp_dir")]
pub tmp_dir: PathBuf,

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@@ -49,6 +49,7 @@ fn main() -> Result<()> {
// 在 config move 进 ServiceManager 之前,提取 AI 相关配置
let ai_model_store = config.ai.model_store.clone();
let ai_tools_dir = config.ai.tools_dir.clone();
let ai_whisper_lib_dir = config.ai.whisper_lib_dir.clone();
let ai_tmp_dir = config.ai.tmp_dir.clone();
let ai_context_window = config.ai.context_window;
@@ -79,6 +80,7 @@ fn main() -> Result<()> {
let ai_plugin = AiPlugin::new_default(
ai_model_store,
ai_tools_dir,
ai_whisper_lib_dir,
ai_tmp_dir,
ai_context_window,
);

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@@ -46,11 +46,22 @@ pub trait AiBackend: Send {
pub struct LocalCliBackend {
/// 工具目录(含 whisper-cli, llama-cli, piper 二进制)
tools_dir: PathBuf,
/// whisper-cli 依赖的库路径libggml*.so 所在)
whisper_lib_dir: Option<PathBuf>,
}
impl LocalCliBackend {
pub fn new(tools_dir: PathBuf) -> Self {
Self { tools_dir }
Self {
tools_dir,
whisper_lib_dir: None,
}
}
/// 设置 whisper-cli 依赖库路径(部署时由 deploy_ai.sh 标定)
pub fn with_whisper_lib_dir(mut self, lib_dir: PathBuf) -> Self {
self.whisper_lib_dir = Some(lib_dir);
self
}
fn whisper_cli(&self) -> PathBuf {
@@ -64,6 +75,13 @@ impl LocalCliBackend {
fn piper(&self) -> PathBuf {
self.tools_dir.join("piper")
}
/// 给命令设置 LD_LIBRARY_PATHwhisper-cli 依赖 libggml*.so
fn with_env(&self, cmd: &mut Command) {
if let Some(lib_dir) = &self.whisper_lib_dir {
cmd.env("LD_LIBRARY_PATH", lib_dir);
}
}
}
impl AiBackend for LocalCliBackend {
@@ -71,7 +89,9 @@ impl AiBackend for LocalCliBackend {
// whisper-cli -m <model> -f <audio> -l zh --no-timestamps -otxt -of <tmp>
// 输出到 <tmp>.txt读取后返回
let tmp_out = audio_path.with_extension("asr.txt");
let output = Command::new(self.whisper_cli())
let mut cmd = Command::new(self.whisper_cli());
self.with_env(&mut cmd);
let output = cmd
.arg("-m")
.arg(model_path)
.arg("-f")

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@@ -47,10 +47,15 @@ impl AiPlugin {
pub fn new_default(
model_store: PathBuf,
tools_dir: PathBuf,
whisper_lib_dir: Option<PathBuf>,
tmp_dir: PathBuf,
context_window: usize,
) -> Self {
let backend = Box::new(backend::LocalCliBackend::new(tools_dir.clone()));
let mut backend_builder = backend::LocalCliBackend::new(tools_dir.clone());
if let Some(lib_dir) = whisper_lib_dir {
backend_builder = backend_builder.with_whisper_lib_dir(lib_dir);
}
let backend = Box::new(backend_builder);
let models = model_manager::ModelManager::new(model_store);
let pipeline = ChatPipeline::new(backend, models, tmp_dir, context_window);
Self {