feat: CLI Subcommand Support
- **CLI Subcommand Support**: Added three new subcommands for better command organization: - `aha cli` - Download model and start HTTP service (default, backward compatible) - `aha serv` - Start HTTP service only (requires `--weight-path`) - `aha download` - Download model only (no service start)
This commit is contained in:
XiaoYang
+109
@@ -0,0 +1,109 @@
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# Changelog
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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### Added
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- **CLI Subcommand Support**: Added three new subcommands for better command organization:
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- `aha cli` - Download model and start HTTP service (default, backward compatible)
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- `aha serv` - Start HTTP service only (requires `--weight-path`)
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- `aha download` - Download model only (no service start)
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### Changed
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- **CLI Structure**: Refactored CLI to use clap's Subcommand feature while maintaining backward compatibility
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- **Backward Compatibility**: Commands without subcommand now default to `cli` subcommand:
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- `aha -m qwen3vl-2b` is equivalent to `aha cli -m qwen3vl-2b`
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- All existing parameter options and defaults remain unchanged
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### Technical Details
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**Subcommand Parameters:**
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`aha cli`:
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- `-a, --address <ADDRESS>` - Server address (default: 127.0.0.1)
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- `-p, --port <PORT>` - Server port (default: 10100)
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- `-m, --model <MODEL>` - Model to use (required)
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- `--weight-path <WEIGHT_PATH>` - Local model weight path (optional)
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- `--save-dir <SAVE_DIR>` - Directory to save downloaded model (optional)
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- `--download-retries <DOWNLOAD_RETRIES>` - Download retry attempts (default: 3)
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`aha serv`:
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- `-a, --address <ADDRESS>` - Server address (default: 127.0.0.1)
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- `-p, --port <PORT>` - Server port (default: 10100)
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- `-m, --model <MODEL>` - Model to use (required)
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- `--weight-path <WEIGHT_PATH>` - Local model weight path (required)
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`aha download`:
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- `-m, --model <MODEL>` - Model to download (required)
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- `-s, --save-dir <SAVE_DIR>` - Directory to save downloaded model (optional)
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- `--download-retries <DOWNLOAD_RETRIES>` - Download retry attempts (default: 3)
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**Code Changes:**
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- Modified `src/main.rs` only
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- Extracted common functions: `get_model_id()`, `start_http_server()`
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- Reused existing `download_model()` and `init()` functions
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- No changes to other modules or dependencies
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## [0.1.8] - 2025-01-20
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### Added
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- Support for Fun-ASR-Nano-2512 model
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- Support for Qwen3-0.6B model
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## [0.1.7] - 2024-XX-XX
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### Added
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- Support for GLM-ASR-Nano-2512 model
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## [0.1.6] - 2024-XX-XX
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### Added
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- Support for RMBG-2.0 model (background removal)
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## [0.1.5] - 2024-XX-XX
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### Added
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- Support for VoxCPM1.5 model
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## [0.1.4] - 2024-XX-XX
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### Added
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- Support for PaddleOCR-VL model
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## [0.1.3] - 2024-XX-XX
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### Added
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- Support for Hunyuan-OCR model
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## [0.1.2] - 2024-XX-XX
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### Added
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- Support for DeepSeek-OCR model
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## [0.1.1] - 2024-XX-XX
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### Added
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- Support for Qwen3VL model family (2B, 4B, 8B, 32B)
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## [0.1.0] - 2024-XX-XX
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### Added
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- Initial release
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- Support for Qwen2.5VL models (3B, 7B)
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- Support for MiniCPM4-0.5B model
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- Support for VoxCPM-0.5B model
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@@ -0,0 +1,242 @@
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# AHA 命令行使用说明
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## 概述
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AHA 是一个基于 Candle 框架的高性能模型推理库，支持多种多模态模型，包括视觉、语言和语音模型。
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```bash
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aha [COMMAND] [OPTIONS]
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```
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## 全局选项
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| 选项 | 说明 | 默认值 |
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|------|------|--------|
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| `-a, --address <ADDRESS>` | 服务监听地址 | 127.0.0.1 |
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| `-p, --port <PORT>` | 服务监听端口 | 10100 |
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| `-m, --model <MODEL>` | 模型类型（必选） | - |
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| `--weight-path <WEIGHT_PATH>` | 本地模型权重路径 | - |
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| `--save-dir <SAVE_DIR>` | 模型下载保存目录 | ~/.aha/ |
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| `--download-retries <DOWNLOAD_RETRIES>` | 下载重试次数 | 3 |
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| `-h, --help` | 显示帮助信息 | - |
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| `-V, --version` | 显示版本号 | - |
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## 子命令
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### cli - 下载模型并启动服务（默认）
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下载指定的模型并启动 HTTP 服务。当不指定子命令时，默认使用此命令。
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**语法：**
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```bash
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aha cli [OPTIONS] --model <MODEL>
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```
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**选项：**
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| 选项 | 说明 | 默认值 |
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|------|------|--------|
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| `-a, --address <ADDRESS>` | 服务监听地址 | 127.0.0.1 |
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| `-p, --port <PORT>` | 服务监听端口 | 10100 |
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| `-m, --model <MODEL>` | 模型类型（必选） | - |
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| `--weight-path <WEIGHT_PATH>` | 本地模型权重路径（如指定则跳过下载） | - |
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| `--save-dir <SAVE_DIR>` | 模型下载保存目录 | ~/.aha/ |
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| `--download-retries <DOWNLOAD_RETRIES>` | 下载重试次数 | 3 |
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**示例：**
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```bash
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# 下载模型并启动服务（默认端口 10100）
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aha cli -m qwen3vl-2b
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# 指定端口和保存目录
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aha cli -m qwen3vl-2b -p 8080 --save-dir /data/models
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# 使用本地模型（不下载）
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aha cli -m qwen3vl-2b --weight-path /path/to/model
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# 向后兼容方式（等同于 cli 子命令）
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aha -m qwen3vl-2b
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```
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### serv - 启动服务
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仅启动 HTTP 服务，不下载模型。必须通过 `--weight-path` 指定本地模型路径。
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**语法：**
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```bash
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aha serv [OPTIONS] --model <MODEL> --weight-path <WEIGHT_PATH>
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```
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**选项：**
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| 选项 | 说明 | 默认值 |
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|------|------|--------|
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| `-a, --address <ADDRESS>` | 服务监听地址 | 127.0.0.1 |
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| `-p, --port <PORT>` | 服务监听端口 | 10100 |
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| `-m, --model <MODEL>` | 模型类型（必选） | - |
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| `--weight-path <WEIGHT_PATH>` | 本地模型权重路径（必选） | - |
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**示例：**
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```bash
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# 使用本地模型启动服务
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aha serv -m qwen3vl-2b --weight-path /path/to/model
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# 指定端口启动
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aha serv -m qwen3vl-2b --weight-path /path/to/model -p 8080
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# 指定监听地址
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aha serv -m qwen3vl-2b --weight-path /path/to/model -a 0.0.0.0
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```
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### download - 下载模型
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仅下载指定模型，不启动服务。
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**语法：**
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```bash
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aha download [OPTIONS] --model <MODEL>
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```
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**选项：**
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| 选项 | 说明 | 默认值 |
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|------|------|--------|
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| `-m, --model <MODEL>` | 模型类型（必选） | - |
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| `-s, --save-dir <SAVE_DIR>` | 模型下载保存目录 | ~/.aha/ |
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| `--download-retries <DOWNLOAD_RETRIES>` | 下载重试次数 | 3 |
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**示例：**
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```bash
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# 下载模型到默认目录
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aha download -m qwen3vl-2b
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# 指定保存目录
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aha download -m qwen3vl-2b -s /data/models
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# 指定下载重试次数
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aha download -m qwen3vl-2b --download-retries 5
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# 下载 MiniCPM4-0.5B 模型
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aha download -m minicpm4-0.5b -s models
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```
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## 支持的模型
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| 模型标识 | 模型名称 | 说明 |
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|---------|---------|------|
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| `minicpm4-0.5b` | OpenBMB/MiniCPM4-0.5B | 面壁智能 MiniCPM4 0.5B 模型 |
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| `qwen2.5vl-3b` | Qwen/Qwen2.5-VL-3B-Instruct | 通义千问 2.5 VL 3B 模型 |
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| `qwen2.5vl-7b` | Qwen/Qwen2.5-VL-7B-Instruct | 通义千问 2.5 VL 7B 模型 |
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| `qwen3-0.6b` | Qwen/Qwen3-0.6B | 通义千问 3 0.6B 模型 |
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| `qwen3vl-2b` | Qwen/Qwen3-VL-2B-Instruct | 通义千问 3 VL 2B 模型 |
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| `qwen3vl-4b` | Qwen/Qwen3-VL-4B-Instruct | 通义千问 3 VL 4B 模型 |
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| `qwen3vl-8b` | Qwen/Qwen3-VL-8B-Instruct | 通义千问 3 VL 8B 模型 |
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| `qwen3vl-32b` | Qwen/Qwen3-VL-32B-Instruct | 通义千问 3 VL 32B 模型 |
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| `deepseek-ocr` | deepseek-ai/DeepSeek-OCR | DeepSeek OCR 模型 |
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| `hunyuan-ocr` | Tencent-Hunyuan/HunyuanOCR | 腾讯混元 OCR 模型 |
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| `paddleocr-vl` | PaddlePaddle/PaddleOCR-VL | 百度飞桨 OCR VL 模型 |
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| `RMBG2.0` | AI-ModelScope/RMBG-2.0 | RMBG 2.0 背景移除模型 |
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| `voxcpm` | OpenBMB/VoxCPM-0.5B | 面壁智能 VoxCPM 0.5B 语音生成模型 |
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| `voxcpm1.5` | OpenBMB/VoxCPM1.5 | 面壁智能 VoxCPM 1.5 语音生成模型 |
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| `glm-asr-nano-2512` | ZhipuAI/GLM-ASR-Nano-2512 | 智谱 AI ASR Nano 2512 语音识别模型 |
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| `fun-asr-nano-2512` | FunAudioLLM/Fun-ASR-Nano-2512 | 通义百聆 ASR Nano 2512 语音识别模型 |
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## 常见使用场景
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### 场景 1：快速启动推理服务
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```bash
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# 一条命令下载并启动服务
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aha -m qwen3vl-2b
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```
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### 场景 2：使用已有模型启动服务
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```bash
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# 假设模型已下载到 /data/models/Qwen/Qwen3-VL-2B-Instruct
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aha serv -m qwen3vl-2b --weight-path /data/models/Qwen/Qwen3-VL-2B-Instruct
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```
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### 场景 3：预先下载模型
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```bash
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# 下载模型到指定目录，稍后使用
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aha download -m qwen3vl-2b -s /data/models
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# 后续启动时直接使用
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aha serv -m qwen3vl-2b --weight-path /data/models/Qwen/Qwen3-VL-2B-Instruct
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```
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### 场景 4：自定义服务端口和地址
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```bash
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# 在 0.0.0.0:8080 启动服务，允许外部访问
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aha -m qwen3vl-2b -a 0.0.0.0 -p 8080
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```
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## API 接口
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服务启动后，提供以下 API 接口：
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### 对话接口
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- **端点**: `POST /chat/completions`
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- **功能**: 多模态对话和文本生成
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- **支持模型**: Qwen2.5VL, Qwen3, Qwen3VL, DeepSeekOCR, GLM-ASR-Nano-2512, Fun-ASR-Nano-2512 等
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- **格式**: OpenAI Chat Completion 格式
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- **流式支持**: 支持
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### 图像处理接口
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- **端点**: `POST /images/remove_background`
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- **功能**: 图像背景移除
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- **支持模型**: RMBG-2.0
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- **格式**: OpenAI Chat Completion 格式
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- **流式支持**: 不支持
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### 语音生成接口
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- **端点**: `POST /audio/speech`
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- **功能**: 语音合成和生成
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- **支持模型**: VoxCPM, VoxCPM1.5
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- **格式**: OpenAI Chat Completion 格式
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- **流式支持**: 不支持
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## 向后兼容性
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||||
|
||||
为了保持与旧版本的兼容性，以下两种使用方式是等效的：
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||||
|
||||
```bash
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# 新方式（推荐）
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aha cli -m qwen3vl-2b
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|
||||
# 旧方式（向后兼容）
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||||
aha -m qwen3vl-2b
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```
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## 注意事项
|
||||
|
||||
1. **serv 子命令必须指定 `--weight-path`**：由于 `serv` 子命令不下载模型，必须通过 `--weight-path` 指定已下载的模型路径。
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||||
|
||||
2. **下载重试机制**：默认重试 3 次，每次失败后等待 2 秒再重试。可通过 `--download-retries` 调整重试次数。
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||||
|
||||
3. **默认保存目录**：模型默认保存到 `~/.aha/` 目录下，可通过 `--save-dir` 或 `-d` 参数自定义。
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||||
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||||
4. **端口占用**：启动服务前确保指定的端口未被占用，默认端口为 10100。
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||||
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||||
5. **权限问题**：如果保存到系统目录（如 `/data/models`），确保有相应的写入权限。
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||||
|
||||
## 获取帮助
|
||||
|
||||
```bash
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||||
# 查看主帮助
|
||||
aha --help
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||||
|
||||
# 查看子命令帮助
|
||||
aha cli --help
|
||||
aha serv --help
|
||||
aha download --help
|
||||
|
||||
# 查看版本信息
|
||||
aha --version
|
||||
```
|
||||
+164
-27
@@ -1,7 +1,7 @@
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||||
use std::{net::IpAddr, str::FromStr, time::Duration};
|
||||
|
||||
use aha::{models::WhichModel, utils::get_default_save_dir};
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||||
use clap::Parser;
|
||||
use clap::{Args, Parser, Subcommand};
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||||
use modelscope::ModelScope;
|
||||
use rocket::{
|
||||
Config,
|
||||
@@ -14,26 +14,109 @@ use crate::api::init;
|
||||
mod api;
|
||||
|
||||
#[derive(Parser, Debug)]
|
||||
#[command(name = "aha")]
|
||||
#[command(version, about, long_about = None)]
|
||||
struct Args {
|
||||
struct Cli {
|
||||
/// Service listen address
|
||||
#[arg(short, long, default_value = "127.0.0.1")]
|
||||
address: String,
|
||||
|
||||
#[arg(short, long, default_value_t = 10100)]
|
||||
port: u16,
|
||||
address: Option<String>,
|
||||
|
||||
/// Service listen port
|
||||
#[arg(short, long)]
|
||||
model: WhichModel,
|
||||
port: Option<u16>,
|
||||
|
||||
/// Model type (required for backward compatibility)
|
||||
#[arg(short, long)]
|
||||
model: Option<WhichModel>,
|
||||
|
||||
/// Local model weight path
|
||||
#[arg(long)]
|
||||
weight_path: Option<String>,
|
||||
|
||||
/// Model download save directory
|
||||
#[arg(long)]
|
||||
save_dir: Option<String>,
|
||||
|
||||
/// Download retry count
|
||||
#[arg(long)]
|
||||
download_retries: Option<u32>,
|
||||
|
||||
#[command(subcommand)]
|
||||
command: Option<Commands>,
|
||||
}
|
||||
|
||||
#[derive(Subcommand, Debug)]
|
||||
enum Commands {
|
||||
/// Download model and start service (default)
|
||||
Cli(CliArgs),
|
||||
/// Start service only (requires --weight-path)
|
||||
Serv(ServArgs),
|
||||
/// Download model only
|
||||
Download(DownloadArgs),
|
||||
}
|
||||
|
||||
/// Common/shared arguments for server operations
|
||||
#[derive(Args, Debug)]
|
||||
struct CommonArgs {
|
||||
/// Service listen address
|
||||
#[arg(short, long, default_value = "127.0.0.1")]
|
||||
address: String,
|
||||
|
||||
/// Service listen port
|
||||
#[arg(short, long, default_value_t = 10100)]
|
||||
port: u16,
|
||||
|
||||
/// Model type (required)
|
||||
#[arg(short, long)]
|
||||
model: WhichModel,
|
||||
}
|
||||
|
||||
/// Arguments for the 'cli' subcommand (download + serve)
|
||||
#[derive(Args, Debug)]
|
||||
struct CliArgs {
|
||||
#[command(flatten)]
|
||||
common: CommonArgs,
|
||||
|
||||
/// Local model weight path (skip download if provided)
|
||||
#[arg(long)]
|
||||
weight_path: Option<String>,
|
||||
|
||||
/// Model download save directory
|
||||
#[arg(long)]
|
||||
save_dir: Option<String>,
|
||||
|
||||
/// Download retry count
|
||||
#[arg(long)]
|
||||
download_retries: Option<u32>,
|
||||
}
|
||||
|
||||
/// Arguments for the 'serv' subcommand (serve only)
|
||||
#[derive(Args, Debug)]
|
||||
struct ServArgs {
|
||||
#[command(flatten)]
|
||||
common: CommonArgs,
|
||||
|
||||
/// Local model weight path (required)
|
||||
#[arg(long, required = true)]
|
||||
weight_path: String,
|
||||
}
|
||||
|
||||
/// Arguments for the 'download' subcommand (download only)
|
||||
#[derive(Args, Debug)]
|
||||
struct DownloadArgs {
|
||||
/// Model type (required)
|
||||
#[arg(short, long)]
|
||||
model: WhichModel,
|
||||
|
||||
/// Model download save directory
|
||||
#[arg(short, long)]
|
||||
save_dir: Option<String>,
|
||||
|
||||
/// Download retry count
|
||||
#[arg(long)]
|
||||
download_retries: Option<u32>,
|
||||
}
|
||||
|
||||
async fn download_model(model_id: &str, save_dir: &str, max_retries: u32) -> anyhow::Result<()> {
|
||||
let mut attempts = 0u32;
|
||||
loop {
|
||||
@@ -67,10 +150,9 @@ async fn download_model(model_id: &str, save_dir: &str, max_retries: u32) -> any
|
||||
}
|
||||
}
|
||||
|
||||
#[tokio::main]
|
||||
async fn main() -> anyhow::Result<()> {
|
||||
let args = Args::parse();
|
||||
let model_id = match &args.model {
|
||||
/// Get the ModelScope model ID for a given WhichModel variant
|
||||
fn get_model_id(model: WhichModel) -> &'static str {
|
||||
match model {
|
||||
WhichModel::MiniCPM4_0_5B => "OpenBMB/MiniCPM4-0.5B",
|
||||
WhichModel::Qwen2_5vl3B => "Qwen/Qwen2.5-VL-3B-Instruct",
|
||||
WhichModel::Qwen2_5vl7B => "Qwen/Qwen2.5-VL-7B-Instruct",
|
||||
@@ -87,30 +169,89 @@ async fn main() -> anyhow::Result<()> {
|
||||
WhichModel::VoxCPM1_5 => "OpenBMB/VoxCPM1.5",
|
||||
WhichModel::GlmASRNano2512 => "ZhipuAI/GLM-ASR-Nano-2512",
|
||||
WhichModel::FunASRNano2512 => "FunAudioLLM/Fun-ASR-Nano-2512",
|
||||
};
|
||||
let model_path = match &args.weight_path {
|
||||
Some(path) => path.clone(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Run the 'cli' subcommand: download model (if needed) and start service
|
||||
async fn run_cli(args: CliArgs) -> anyhow::Result<()> {
|
||||
let CliArgs { common, weight_path, save_dir, download_retries } = args;
|
||||
let model_id = get_model_id(common.model);
|
||||
|
||||
let model_path = match weight_path {
|
||||
Some(path) => path,
|
||||
None => {
|
||||
let save_dir = match &args.save_dir {
|
||||
Some(dir) => dir.clone(),
|
||||
let save_dir = match save_dir {
|
||||
Some(dir) => dir,
|
||||
None => get_default_save_dir().expect("Failed to get home directory"),
|
||||
};
|
||||
let max_retries = args.download_retries.unwrap_or(3);
|
||||
let max_retries = download_retries.unwrap_or(3);
|
||||
download_model(model_id, &save_dir, max_retries).await?;
|
||||
save_dir + "/" + model_id
|
||||
}
|
||||
};
|
||||
// println!("-------------------download path: {}", model_path);
|
||||
init(args.model, model_path)?;
|
||||
start_http_server(&args).await?;
|
||||
|
||||
init(common.model, model_path)?;
|
||||
start_http_server(common.address, common.port).await?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
pub(crate) async fn start_http_server(args: &Args) -> anyhow::Result<()> {
|
||||
/// Run the 'serv' subcommand: start service only (no download)
|
||||
async fn run_serv(args: ServArgs) -> anyhow::Result<()> {
|
||||
let ServArgs { common, weight_path } = args;
|
||||
|
||||
init(common.model, weight_path)?;
|
||||
start_http_server(common.address, common.port).await?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Run the 'download' subcommand: download model only (no server)
|
||||
async fn run_download(args: DownloadArgs) -> anyhow::Result<()> {
|
||||
let DownloadArgs { model, save_dir, download_retries } = args;
|
||||
let model_id = get_model_id(model);
|
||||
|
||||
let save_dir = match save_dir {
|
||||
Some(dir) => dir,
|
||||
None => get_default_save_dir().expect("Failed to get home directory"),
|
||||
};
|
||||
let max_retries = download_retries.unwrap_or(3);
|
||||
|
||||
download_model(model_id, &save_dir, max_retries).await?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[tokio::main]
|
||||
async fn main() -> anyhow::Result<()> {
|
||||
let cli = Cli::parse();
|
||||
|
||||
match cli.command {
|
||||
Some(Commands::Cli(args)) => run_cli(args).await,
|
||||
Some(Commands::Serv(args)) => run_serv(args).await,
|
||||
Some(Commands::Download(args)) => run_download(args).await,
|
||||
None => {
|
||||
// Backward compatibility: when no subcommand is provided, use 'cli' behavior
|
||||
let model = cli.model.expect("Model is required (use -m or --model)");
|
||||
let args = CliArgs {
|
||||
common: CommonArgs {
|
||||
address: cli.address.unwrap_or_else(|| "127.0.0.1".to_string()),
|
||||
port: cli.port.unwrap_or(10100),
|
||||
model,
|
||||
},
|
||||
weight_path: cli.weight_path,
|
||||
save_dir: cli.save_dir,
|
||||
download_retries: cli.download_retries,
|
||||
};
|
||||
run_cli(args).await
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) async fn start_http_server(address: String, port: u16) -> anyhow::Result<()> {
|
||||
let mut builder = rocket::build().configure(Config {
|
||||
address: IpAddr::from_str(&args.address)?,
|
||||
port: args.port,
|
||||
address: IpAddr::from_str(&address)?,
|
||||
port,
|
||||
limits: Limits::default()
|
||||
.limit("string", ByteUnit::Mebibyte(5))
|
||||
.limit("json", ByteUnit::Mebibyte(5))
|
||||
@@ -128,7 +269,3 @@ pub(crate) async fn start_http_server(args: &Args) -> anyhow::Result<()> {
|
||||
builder.launch().await?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
// fn main() {
|
||||
// println!("Hello, world!");
|
||||
// }
|
||||
|
||||
Reference in New Issue
Block a user