Upload folder using huggingface_hub

.dockerignore

@@ -0,0 +1,17 @@
+.git
+.gitignore
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.pytest_cache
+.mypy_cache
+.ruff_cache
+
+# Local artifacts
+models
+*.wav
+*.mp3
+
+# Windows helpers
+*.bat

.gitignore

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+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+runtime/
+models/
+dist/
+wheels/
+*.egg-info
+tools
+# Virtual environments
+.venv
+venv
+*.7z
+*.exe
+*.001
+*.002

Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# System deps:
+# - ffmpeg: mp3 encode/decode + prompt audio convert
+# - libsndfile1: required by python-soundfile
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    ffmpeg \
+    libsndfile1 \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+ENV HOST=0.0.0.0
+ENV PORT=7860
+EXPOSE 7860
+
+CMD ["python", "-u", "app.py"]

LICENSE

@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
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+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md

@@ -1,10 +1,241 @@
 ---
-title: Chatterbox Api
-emoji: 🌖
-colorFrom: purple
-colorTo: red
+title: Chatterbox TTS API
 sdk: docker
-pinned: false
+app_port: 7860
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Chatterbox TTS API 服务
+
+这是一个基于 [Chatterbox-TTS](https://github.com/resemble-ai/chatterbox) 的高性能文字转语音（TTS）服务。它提供了一个与 OpenAI TTS 兼容的 API 接口、一个支持声音克隆的增强接口，以及一个简洁的 Web 用户界面。
+
+本项目旨在为开发者和内容创作者提供一个私有化部署、功能强大且易于集成的 TTS 解决方案。
+
+
+![](https://pvtr2.pyvideotrans.com/1751778208772_image.png)
+
+
+## ✨ 功能特性
+
+- **支持 23种语言**
+- **两种 API 接口**:
+    1.  **OpenAI 兼容接口**: `/v1/audio/speech`，可无缝对接到任何支持 OpenAI SDK 的现有工作流中。
+    2.  **声音克隆接口**: `/v2/audio/speech_with_prompt`，通过上传一小段参考音频，即可生成具有相同音色的语音。
+- **Web 用户界面**: 提供一个直观的前端页面，用于快速测试和使用 TTS 功能，无需编写任何代码。
+- **灵活的输出格式**: 支持生成 `.mp3` 和 `.wav` 格式的音频。
+- **跨平台支持**: 提供在 Windows, macOS 和 Linux 上的详细安装指南。
+- **一键式 Windows 部署**: 为 Windows 用户提供了包含所有依赖和启动脚本的压缩包，实现开箱即用。
+- **GPU 加速**: 支持 NVIDIA GPU（CUDA），并为 Windows 用户提供了一键升级脚本。
+- **无缝集成**: 可作为后端服务，与 [pyVideoTrans](https://github.com/jianchang512/pyvideotrans) 等工具轻松集成。
+
+---
+
+## 🚀 快速开始
+
+### 方式一：Windows 用户（推荐，一键启动）
+
+我们为 Windows 用户准备了包含所有依赖的便携包 `win.7z`，大大简化了安装过程。
+
+1.  **下载并解压**: 
+
+- 百度网盘下载地址【内置模型共5.9G】： https://pan.baidu.com/s/12Le6rhOQnBL-sNd0uGZ91A?pwd=t55t
+   > 压缩包内含模型和所需环境文件，体积较大，分2个压缩卷下载，下载后全部选中解压即可，解压路径中最好不要包含中文
+
+- 百度网盘下载地址【不含模型460MB启动后自动下载，需科学上网】： https://pan.baidu.com/s/1g3w1jFHxe_IjqgasoiVB6w?pwd=nf8v
+	
+- GitHub 下载地址【不含模型460MB启动后自动下载，需科学上网】：https://github.com/jianchang512/chatterbox-api/releases/download/0.2/1020-chatterbox-win-NO-Models.7z
+
+2.  **启动服务**:
+    -  双击运行根目录下的 **`启动服务.bat`** 脚本。
+
+    当您在命令行窗口看到类似以下信息时，表示服务已成功启动：
+    
+![](https://pvtr2.pyvideotrans.com/1751778142538_image.png)
+
+    ```
+    ✅ 模型加载完成.
+    服务启动完成，http地址是： http://127.0.0.1:5093
+    ```
+
+### 方式二：macOS, Linux 和手动安装用户
+
+对于 macOS, Linux 用户，或者希望手动设置环境的 Windows 用户，请按照以下步骤操作。
+
+> ### 纯CPU运行注意
+>
+> 在 Windows和Linux上，如果想CPU运行，需要修改源码，虚拟环境下/Lib/site-packages/chatterbox/mtl_tts.py`
+> 
+> 搜索`torch.load(ckpt_dir / "ve.pt",` 改为 `torch.load(ckpt_dir / "ve.pt", map_location=device,`
+> 
+> 搜索 `torch.load(ckpt_dir / "s3gen.pt",` 改为 `torch.load(ckpt_dir / "s3gen.pt", map_location=device,`
+
+#### 1. 前置依赖
+
+- **Python**: 确保已安装 Python 3.10 或更高版本。
+- **ffmpeg**: 这是一个必需的音视频处理工具。
+    -   **macOS (使用 Homebrew)**: `brew install ffmpeg`
+    -   **Debian/Ubuntu**: `sudo apt-get update && sudo apt-get install ffmpeg`
+    -   **Windows (手动)**: 下载 [ffmpeg](https://ffmpeg.org/download.html) ，并将其添加到系统环境变量 `PATH` 中。
+
+#### 2. 安装步骤
+
+```bash
+# 1. 克隆项目仓库
+git clone https://github.com/jianchang512/chatterbox-api.git
+cd chatterbox-api
+
+# 2. 创建并激活 Python 虚拟环境 (推荐)
+python3 -m venv venv
+# on Windows:
+# venv\Scripts\activate
+# on macOS/Linux:
+source venv/bin/activate
+
+# 3. 安装依赖
+pip install -r requirements.txt
+
+# 4. 启动服务
+python app.py
+```
+
+当服务成功启动后，您将在终端看到服务地址 `http://127.0.0.1:5093`。
+
+---
+
+## ☁️ 部署到 Hugging Face Spaces（免费 CPU，API 对外）
+
+1. 新建 Space，选择 `Docker`。
+2. 直接上传本仓库代码（`chatterbox-api` 目录内容）到 Space。
+3. Space 构建完成后即可访问：
+   - Web UI: `https://<your-space>.hf.space/`
+   - OpenAI 兼容 API: `https://<your-space>.hf.space/v1/audio/speech`
+   - 声音克隆 API: `https://<your-space>.hf.space/v2/audio/speech_with_prompt`
+
+## ⚡ 升级到 GPU 版本 (可选)
+
+如果您的电脑配备了支持 CUDA 的 NVIDIA 显卡，并已正确安装 [NVIDIA 驱动](https://www.nvidia.com/Download/index.aspx) 和 [CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit-archive)，您可以升级到 GPU 版本以获得显著的性能提升。
+
+### Windows 用户 (一键升级)
+
+1.  请先确保您已经成功运行过一次 `启动服务.bat`，以完成基础环境的安装。
+2.  双击运行 **`安装N卡GPU支持.bat`** 脚本。
+3.  脚本会自动卸载 CPU 版本的 PyTorch，并安装与 CUDA 12.8 兼容的 GPU 版本。
+
+### Linux 手动升级
+
+在激活虚拟环境后，执行以下命令：
+
+```bash
+# 1. 卸载现有的 CPU 版本 PyTorch
+pip uninstall -y torch torchaudio
+
+# 2. 安装与您的 CUDA 版本匹配的 PyTorch
+# 以下命令适用于 CUDA 12.6，请根据您的 CUDA 版本从 PyTorch 官网获取正确的命令
+pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu126
+```
+*您可以访问 [PyTorch 官网](https://pytorch.org/get-started/locally/) 来获取适合您系统的安装命令。*
+
+升级后，重新启动服务，您将在启动日志中看到 `Using device: cuda`。
+
+---
+
+## 📖 使用指南
+
+### 1. Web 界面
+
+服务启动后，在浏览器中打开 **`http://127.0.0.1:5093`** 即可访问 Web UI。
+
+- **输入文本**: 在文本框中输入您想要转换的文字。
+- **调整参数**:
+    - `cfg_weight`: (范围 0.0 - 1.0) 控制语音的节奏。值越低，语速越慢、越从容。对于快节奏的参考音频，可适当降低此值（如 0.3）。
+    - `exaggeration`: (范围 0.25 - 2.0) 控制语音的情感和语调夸张程度。值越高，情感越丰富，语速也可能越快。
+- **声音克隆**: 点击 "选择文件" 上传一段参考音频（如 .mp3, .wav）。如果提供了参考音频，服务将使用克隆接口。
+- **生成语音**: 点击 "生成语音" 按钮，稍等片刻即可在线试听和下载生成的 MP3 文件。
+
+### 2. API 调用
+
+#### 接口 1: OpenAI 兼容接口 (`/v1/audio/speech`)
+
+此接口无需参考音频，可使用 OpenAI SDK 直接调用。
+
+**Python 示例 (`openai` SDK):**
+
+```python
+from openai import OpenAI
+import os
+
+# 将客户端指向我们的本地服务
+client = OpenAI(
+    base_url="http://127.0.0.1:5093/v1",
+    api_key="not-needed"  # API密钥不是必需的，但SDK要求提供
+)
+
+response = client.audio.speech.create(
+    model="chatterbox-tts",   # 此参数会被忽略
+    voice="en",              # 
+    speed=0.5,               # 对应 cfg_weight 参数
+    input="Hello, this is a test from the OpenAI compatible API.",
+    instructions="0.5"     # (可选) 对应 exaggeration 参数, 注意需要是字符串
+    response_format="mp3"    # 可选 'mp3' 或 'wav'
+)
+
+# 将音频流保存到文件
+response.stream_to_file("output_api1.mp3")
+print("音频已保存到 output_api1.mp3")
+```
+
+#### 接口 2: 声音克隆接口 (`/v2/audio/speech_with_prompt`)
+
+此接口需要通过 `multipart/form-data` 格式同时上传文本和参考音频文件。
+
+**Python 示例 (`requests` 库):**
+
+```python
+import requests
+
+API_URL = "http://127.0.0.1:5093/v2/audio/speech_with_prompt"
+REFERENCE_AUDIO = "path/to/your/reference.mp3"  # 替换为您的参考音频路径
+
+form_data = {
+    'input': 'This voice should sound like the reference audio.',
+    'cfg_weight': '0.5',
+    'exaggeration': '0.5',
+    'response_format': 'mp3'  # 可选 'mp3' 或 'wav'
+}
+
+with open(REFERENCE_AUDIO, 'rb') as audio_file:
+    files = {'audio_prompt': audio_file}
+    response = requests.post(API_URL, data=form_data, files=files)
+
+if response.ok:
+    with open("output_api2.mp3", "wb") as f:
+        f.write(response.content)
+    print("克隆音频已保存到 output_api2.mp3")
+else:
+    print("请求失败:", response.text)
+```
+
+### 3. 在 pyVideoTrans 中使用
+
+本项目可以作为强大的 TTS 后端，为 [pyVideoTrans](https://github.com/jianchang512/pyvideotrans) 提供高质量的英文配音。
+
+1.  **启动本项目**: 确保 Chatterbox TTS API 服务正在本地运行 (`http://127.0.0.1:5093`)。
+2.  **更新 pyVideoTrans**: 确保您的 pyVideoTrans 版本升级到 `v3.73` 或更高。
+3.  **配置 pyVideoTrans**:
+	![](https://pvtr2.pyvideotrans.com/1751778270190_image.png)
+
+    -   在 pyVideoTrans 菜单中，进入 `TTS设置` -> `Chatterbox TTS`。
+    -   **API 地址**: 填写本服务的地址，默认为 `http://127.0.0.1:5093`。
+    -   **参考音频** (可选): 如果您想使用声音克隆，请在此处填写参考音频的文件名（例如 `my_voice.wav`）。请确保该音频文件已放置在 pyVideoTrans 根目录下的 `chatterbox` 文件夹内。
+    -   **调整参数**: 根据需要调整 `cfg_weight` 和 `exaggeration` 以获得最佳效果。
+
+    **参数调整建议**:
+    -   **通用场景 (TTS, 语音助手)**: 默认设置 (`cfg_weight=0.5`, `exaggeration=0.5`) 适用于大多数情况。
+    -   **快语速参考音频**: 如果参考音频的语速较快，可以尝试将 `cfg_weight` 降低到 `0.3` 左右，以改善生成语音的节奏。
+    -   **富有表现力/戏剧性演讲**: 尝试较低的 `cfg_weight` (如 `0.3`) 和较高的 `exaggeration` (如 `0.7` 或更高)。通常提高 `exaggeration` 会加快语速，降低 `cfg_weight` 有助于平衡，使节奏更从容、更清晰。
+
+---
+
+
+## 致谢
+
+[Chatterbox-TTS](https://github.com/resemble-ai/chatterbox) 

app.py

@@ -0,0 +1,331 @@
+import os,time,shutil,sys
+#os.environ['htts_proxy']='http://127.0.0.1:10808'
+#os.environ['htt_proxy']='http://127.0.0.1:10808'
+from pathlib import Path
+import threading
+import warnings
+warnings.filterwarnings("ignore", category=FutureWarning)
+#from chatterbox.tts import ChatterboxTTS
+
+def _env_int(name: str, default: int) -> int:
+    val = os.environ.get(name)
+    if val is None or val == "":
+        return default
+    try:
+        return int(val)
+    except ValueError:
+        return default
+
+host = os.environ.get("HOST", "127.0.0.1")
+port = _env_int("PORT", 5093)
+threads = _env_int("THREADS", 4)
+
+ROOT_DIR=Path(os.getcwd()).as_posix()
+# 对于国内用户，使用Hugging Face镜像能显著提高下载速度
+os.environ['HF_HOME'] = ROOT_DIR + "/models"
+os.environ['HF_HUB_DISABLE_SYMLINKS_WARNING'] = 'true'
+os.environ['HF_HUB_DISABLE_PROGRESS_BARS'] = 'true'
+os.environ['HF_HUB_DOWNLOAD_TIMEOUT'] = "1200"
+
+import subprocess,traceback
+import io
+import uuid
+import tempfile
+from flask import Flask, request, jsonify, send_file, render_template, make_response
+from waitress import serve
+import torch
+import torchaudio as ta
+
+try:
+    import soundfile as sf
+except ImportError:
+    print('No soundfile, exec cmd ` runtime\\\\python -m pip install soundfile`')
+    sys.exit()
+
+try:    
+    from pydub import AudioSegment
+except ImportError:
+    print('No soundfile, exec cmd ` runtime\\\\python -m pip install pydub`')
+    sys.exit()
+
+
+if sys.platform == 'win32':
+    os.environ['PATH'] = ROOT_DIR + f';{ROOT_DIR}/ffmpeg;{ROOT_DIR}/tools;' + os.environ['PATH']
+from chatterbox.mtl_tts import ChatterboxMultilingualTTS as ChatterboxTTS
+
+# 检查ffmpeg是否安装
+def check_ffmpeg():
+    """检查系统中是否安装了ffmpeg"""
+    try:
+        subprocess.run(["ffmpeg", "-version"], check=True, capture_output=True)
+        print("FFmpeg 已安装.")
+        return True
+    except (subprocess.CalledProcessError, FileNotFoundError):
+        print("ERROR: 不存在ffmpeg，请先安装ffmpeg.")
+        sys.exit(1) # 强制退出，因为MP3转换是必须功能
+
+# 加载Chatterbox TTS模型
+def load_tts_model():
+    """加载TTS模型到指定设备"""
+    print("⏳ 开始加载模型 ChatterboxTTS model... 请耐心等待.")
+    try:
+        # 自动检测可用设备 (CUDA > CPU)
+        device = "cuda" if torch.cuda.is_available() else "cpu"
+        print(f"Using device: {device}")
+        
+        # 从预训练模型加载
+        # CPU 环境下，某些 checkpoint 可能会带 CUDA tensors；强制 map_location 防止反序列化失败。
+        if device == "cpu":
+            original_torch_load = torch.load
+
+            def _cpu_safe_load(*args, **kwargs):
+                kwargs.setdefault("map_location", "cpu")
+                return original_torch_load(*args, **kwargs)
+
+            torch.load = _cpu_safe_load
+            try:
+                tts_model = ChatterboxTTS.from_pretrained(device=device)
+            finally:
+                torch.load = original_torch_load
+        else:
+            tts_model = ChatterboxTTS.from_pretrained(device=device)
+        print("模型加载完成.")
+        return tts_model
+    except Exception as e:
+        print(f"FATAL: 模型加载失败: {e}")
+        sys.exit(1)
+
+# --- 全局变量初始化 ---
+check_ffmpeg()
+model = None
+model_lock = threading.Lock()
+app = Flask(__name__)
+
+def get_model():
+    global model
+    if model is not None:
+        return model
+    with model_lock:
+        if model is None:
+            model = load_tts_model()
+    return model
+
+
+
+def convert_to_wav(input_path, output_path, sample_rate=16000):
+    """
+    Converts any audio file to a standardized WAV format using ffmpeg.
+    - 16-bit PCM
+    - Specified sample rate (default 16kHz, common for TTS)
+    - Mono channel
+    """
+    print(f"   - Converting '{input_path}' to WAV at {sample_rate}Hz...")
+    command = [
+        'ffmpeg',
+        '-i', input_path,      # Input file
+        '-y',                  # Overwrite output file if it exists
+        '-acodec', 'pcm_s16le',# Use 16-bit PCM encoding
+        '-ar', str(sample_rate),# Set audio sample rate
+        '-ac', '1',            # Set to 1 audio channel (mono)
+        output_path            # Output file
+    ]
+    try:
+        process = subprocess.run(
+            command, 
+            check=True,          # Raise an exception if ffmpeg fails
+            capture_output=True, # Capture stdout and stderr
+            text=True,            # Decode stdout/stderr as text
+            encoding='utf-8',     # 明确指定使用 UTF-8 解码
+            errors='replace'      # 如果遇到解码错误，用'�'替换，而不是崩溃
+
+        )
+        print(f"   - FFmpeg conversion successful.")
+    except subprocess.CalledProcessError as e:
+        # If ffmpeg fails, print its error output for easier debugging
+        print("FFmpeg conversion failed!")
+        print(f"   - Command: {' '.join(command)}")
+        print(f"   - Stderr: {e.stderr}")
+        raise e # Re-raise the exception to be caught by the main try...except block
+
+# --- API 接口 ---
+
+@app.route('/')
+def index():
+    """提供前端界面"""
+    return render_template('index.html')
+
+# 接口1: 兼容OpenAI TTS接口
+@app.route('/v1/audio/speech', methods=['POST'])
+def tts_openai_compatible():
+    """
+    OpenAI TTS兼容接口。
+    接收JSON: {"input": "text", "model": "chatterbox", "voice": "default", ...}
+    `model`和`voice`参数会被接收但当前实现中忽略。
+    """
+    if not request.is_json:
+        return jsonify({"error": "Request must be JSON"}), 400
+
+    data = request.get_json()
+    text = data.get('input')
+    # voice 用来接收语言代码
+    lang=data.get('voice','en')
+    # speed用于接收 cfg_weight
+    cfg_weight=float(data.get('speed',0.5))
+    # instructions 用于接收 exaggeration
+    exaggeration=float(data.get('instructions',0.5))
+    #if lang != 'en':
+    #    return jsonify({"error": "Only support English"}), 400
+
+
+    if not text:
+        return jsonify({"error": "Missing 'input' field in request body"}), 400
+    
+    print(f"[APIv1] Received text: '{text[:50]}...'")
+
+    try:
+        # 生成WAV音频
+        tts_model = get_model()
+        wav_tensor = tts_model.generate(text,exaggeration=exaggeration,cfg_weight=cfg_weight,language_id=lang)
+
+        # 检查请求的响应格式，默认为mp3
+        response_format = data.get('response_format', 'mp3').lower()
+        download_name=f'{time.time()}'
+
+        # 对于其他格式（如wav），直接返回
+        wav_buffer = io.BytesIO()
+        wav_tensor = wav_tensor.detach().cpu()
+        if wav_tensor.ndim == 2:
+            wav_np = wav_tensor.transpose(0, 1).numpy()
+        else:
+            wav_np = wav_tensor.numpy()
+         # 写入 WAV 格式到内存
+        sf.write(wav_buffer, wav_np, tts_model.sr, format='wav')
+        wav_buffer.seek(0)
+        if response_format=='mp3':
+            mp3_buffer = io.BytesIO()
+            AudioSegment.from_file(wav_buffer, format="wav").export(mp3_buffer, format="mp3")
+            mp3_buffer.seek(0)
+
+            return send_file(
+                mp3_buffer,
+                mimetype='audio/mpeg',
+                as_attachment=False,
+                download_name=f'{download_name}.mp3'
+            )
+        
+        return send_file(
+            wav_buffer,
+            mimetype='audio/wav',
+            as_attachment=False,
+            download_name=f'{download_name}.wav'
+        )
+        
+    except Exception as e:
+        print(f"[APIv1] Error during TTS generation: {e}")
+        return jsonify({"error": f"An internal error occurred: {str(e)}"}), 500
+
+
+# 接口2: 带参考音频的TTS
+@app.route('/v2/audio/speech_with_prompt', methods=['POST'])
+def tts_with_prompt():
+    """
+    带参考音频的接口。
+    接收 multipart/form-data:
+    - 'input': (string) 要转换的文本
+    - 'audio_prompt': (file) 参考音频文件
+    """
+    if 'input' not in request.form:
+        return jsonify({"error": "Missing 'input' field in form data"}), 400
+    if 'audio_prompt' not in request.files:
+        return jsonify({"error": "Missing 'audio_prompt' file in form data"}), 400
+
+    text = request.form['input']
+    audio_file = request.files['audio_prompt']
+    response_format = request.form.get('response_format', 'wav').lower()
+
+    cfg_weight=float(request.form.get('cfg_weight',0.5))
+
+    exaggeration=float(request.form.get('exaggeration',0.5))
+    lang = request.form.get('language','en')
+    #if lang != 'en':
+    #    return jsonify({"error": "Only support English"}), 400
+    
+    print(f"[APIv2] Received text: '{text[:50]}...' with audio prompt '{audio_file.filename}'")
+
+    
+    temp_upload_path = None
+    temp_wav_path = None
+    try:
+        # --- Stage 1 & 2: Save and Convert uploaded file ---
+        temp_dir = tempfile.gettempdir()
+        upload_suffix = os.path.splitext(audio_file.filename)[1]
+        temp_upload_path = os.path.join(temp_dir, f"{uuid.uuid4()}{upload_suffix}")
+        audio_file.save(temp_upload_path)
+        print(f"   - Uploaded audio saved to: {temp_upload_path}")
+
+        temp_wav_path = os.path.join(temp_dir, f"{uuid.uuid4()}.wav")
+        convert_to_wav(temp_upload_path, temp_wav_path)
+
+        # --- Stage 3: Generate TTS using the converted WAV file ---
+        print(f"   - Generating TTS with prompt: {temp_wav_path}")
+        tts_model = get_model()
+        wav_tensor = tts_model.generate(text, audio_prompt_path=temp_wav_path,exaggeration=exaggeration,cfg_weight=cfg_weight,language_id=lang)
+        
+        # --- Stage 4: Format and Return Response Based on Request ---
+        download_name=f'{time.time()}'
+
+        print("   - Formatting response as WAV.")
+        wav_buffer = io.BytesIO()
+        wav_tensor = wav_tensor.detach().cpu()
+        if wav_tensor.ndim == 2:
+            wav_np = wav_tensor.transpose(0, 1).numpy()
+        else:
+            wav_np = wav_tensor.numpy()
+         # 写入 WAV 格式到内存
+        sf.write(wav_buffer, wav_np, tts_model.sr, format='wav')
+        wav_buffer.seek(0)
+        if response_format == 'mp3':
+            mp3_buffer = io.BytesIO()
+            AudioSegment.from_file(wav_buffer, format="wav").export(mp3_buffer, format="mp3")
+            mp3_buffer.seek(0)
+            return send_file(
+                mp3_buffer,
+                mimetype='audio/mpeg',
+                as_attachment=False,
+                download_name=f'{download_name}.mp3'
+            )
+
+        return send_file(
+            wav_buffer,
+            mimetype='audio/wav',
+            as_attachment=False,
+            download_name=f'{download_name}.wav'
+        )
+
+    except Exception as e:
+        print(f"[APIv2] An error occurred: {e}")
+        traceback.print_exc()
+        return jsonify({"error": f"An internal error occurred: {str(e)}"}), 500
+    
+    finally:
+        # --- Stage 5: Cleanup ---
+        if temp_upload_path and os.path.exists(temp_upload_path):
+            try:
+                os.remove(temp_upload_path)
+                print(f"   - Cleaned up upload file: {temp_upload_path}")
+            except OSError as e:
+                print(f"   - Error cleaning up upload file {temp_upload_path}: {e}")
+        
+        if temp_wav_path and os.path.exists(temp_wav_path):
+            try:
+                os.remove(temp_wav_path)
+                print(f"   - Cleaned up WAV file: {temp_wav_path}")
+            except OSError as e:
+                print(f"   - Error cleaning up WAV file {temp_wav_path}: {e}")
+
+
+# --- 服务启动 ---
+if __name__ == '__main__':
+
+    print(f"\n服务启动完成，http地址是： http://{host}:{port}  \n")
+    serve(app, host=host, port=port, threads=threads)

requirements.txt

@@ -0,0 +1,10 @@
+--extra-index-url https://download.pytorch.org/whl/cpu
+torch==2.6.0+cpu
+torchaudio==2.6.0+cpu
+
+numpy==1.24.0
+chatterbox-tts
+flask>=3.1.2
+waitress>=3.0.2
+pydub>=0.25.1
+soundfile>=0.12.1

templates/index.html

@@ -0,0 +1,343 @@
+<!-- templates/index.html -->
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Chatterbox TTS 服务</title>
+    <style>
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
+            background-color: #f4f7f9;
+            color: #333;
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            min-height: 100vh;
+            margin: 0;
+            padding: 20px;
+            box-sizing: border-box;
+        }
+        .container {
+            width: 100%;
+            max-width: 1200px;
+            background: #fff;
+            padding: 30px;
+            border-radius: 12px;
+            box-shadow: 0 8px 30px rgba(0,0,0,0.1);
+        }
+        h1 {
+            text-align: center;
+            color: #1a237e;
+            margin-bottom: 25px;
+        }
+        .form-group {
+            margin-bottom: 20px;
+        }
+        label {
+            display: block;
+            font-weight: 600;
+            color: #555;
+        }
+        textarea {
+            width: 100%;
+            padding: 12px;
+            border-radius: 8px;
+            border: 1px solid #ccc;
+            font-size: 16px;
+            min-height: 120px;
+            resize: vertical;
+            box-sizing: border-box;
+            transition: border-color 0.3s;
+        }
+        textarea:focus {
+            border-color: #3f51b5;
+            outline: none;
+        }
+        .file-input-wrapper {
+            position: relative;
+            overflow: hidden;
+            display: inline-block;
+            cursor: pointer;
+            padding: 10px 15px;
+            border: 1px dashed #ccc;
+            border-radius: 8px;
+            background-color: #f9f9f9;
+        }
+        .file-input-wrapper:hover {
+            border-color: #3f51b5;
+        }
+        input[type="file"] {
+            position: absolute;
+            left: 0;
+            top: 0;
+            opacity: 0;
+            width: 100%;
+            height: 100%;
+            cursor: pointer;
+        }
+		input[type="number"]{
+			line-height:25px;
+			margin-right:10px;
+			margin-left:5px;
+		}
+		.d-flex{
+			display:flex;
+			align-items:center
+			
+		}
+		
+        #file-name {
+            margin-left: 10px;
+            font-style: italic;
+            color: #777;
+        }
+        .submit-btn {
+            width: 100%;
+            padding: 15px;
+            font-size: 18px;
+            font-weight: bold;
+            color: #fff;
+            background-color: #3f51b5;
+            border: none;
+            border-radius: 8px;
+            cursor: pointer;
+            transition: background-color 0.3s, transform 0.1s;
+        }
+        .submit-btn:hover:not(:disabled) {
+            background-color: #303f9f;
+        }
+        .submit-btn:active:not(:disabled) {
+            transform: scale(0.98);
+        }
+        .submit-btn:disabled {
+            background-color: #9fa8da;
+            cursor: not-allowed;
+        }
+        .result-container {
+            margin-top: 30px;
+            display: none; /* Initially hidden */
+        }
+        audio {
+            width: 100%;
+            margin-bottom: 15px;
+        }
+        .download-link {
+            display: block;
+            text-align: center;
+            padding: 10px;
+            background: #e8eaf6;
+            color: #3f51b5;
+            border-radius: 8px;
+            text-decoration: none;
+            font-weight: 600;
+        }
+        .download-link:hover {
+            background: #c5cae9;
+        }
+        .status {
+            text-align: center;
+            margin-top: 20px;
+            font-weight: 500;
+            height: 24px; /* Reserve space to prevent layout shift */
+        }
+        .status.loading::after {
+            content: '...';
+            display: inline-block;
+            animation: BouncingDots 1.4s infinite ease-in-out both;
+        }
+        @keyframes BouncingDots {
+            0%, 80%, 100% { transform: scale(0); }
+            40% { transform: scale(1.0); }
+        }
+		#tips{
+			display:block;
+			width:30%;
+			max-width:600px;
+			min-width:200px;
+			text-align:center;
+			color:#777;
+			margin:15px auto;
+		}
+		#params-tip{
+			font-size:12px;color:#999;
+			margin:5px 10px 0;
+		}
+		#language{padding:5px;}
+    </style>
+</head>
+<body>
+
+<div class="container">
+    <h1>Chatterbox TTS 服务</h1>
+    <form id="tts-form">
+        <div class="form-group">
+            <label for="text-input">输入文本</label>
+            <textarea id="text-input" placeholder="在此输入您想转换的文字..." required>你好啊，亲爱的朋友，祝你早日发财.</textarea>
+        </div>
+		<div class="d-flex">
+			
+            <label for="language">语言</label>
+			<select id="language" class="">
+				<option value="zh">��文</option>
+				<option value="en">英语</option>
+				<option value="ar">阿拉伯语</option>
+				<option value="da">丹麦语</option>
+				<option value="de">德语</option>
+				<option value="el">希腊语</option>
+				<option value="es">西班牙语</option>
+				<option value="fi">芬兰语</option>
+				<option value="fr">法语</option>
+				<option value="he">希伯来语</option>
+				<option value="hi">印地语</option>
+				<option value="it">意大利语</option>
+				<option value="ja">日语</option>
+				<option value="ko">韩语</option>
+				<option value="ms">马来语</option>
+				<option value="nl">荷兰语</option>
+				<option value="no">挪威语</option>
+				<option value="pl">波兰语</option>
+				<option value="pt">葡萄牙语</option>
+				<option value="ru">俄语</option>
+				<option value="sv">瑞典语</option>
+				<option value="sw">斯瓦西里语</option>
+				<option value="tr">土耳其语</option>
+
+
+			</select>
+            <label for="cfg_weight">cfg_weight</label>
+			<input type="number" id="cfg_weight" value="0.5" min="0.0" max="1.0" step='0.05'>
+			<label for="exaggeration">exaggeration</label>
+			<input type="number" id="exaggeration" value="0.5" min="0.25" max="2.0" step='0.05'>
+        </div>
+		<div id="params-tip">		
+		<strong>cfg_weight: (范围 0.0 - 1.0)</strong> 控制语音的节奏。值越低，语速越慢、越从容。
+<strong>exaggeration: (范围 0.25 - 2.0)</strong> 控制语音的情感和语调夸张程度。值越高，情感越丰富。
+		</div>
+		
+        <div class="form-group d-flex">
+            <label for="audio-prompt">参考音频 (可选, 用于声音克隆) </label>
+            <div class="file-input-wrapper">
+                <span>选择文件</span>
+                <input type="file" id="audio-prompt" accept="audio/*">
+            </div>
+            <span id="file-name"></span>
+        </div>
+        <button type="submit" id="generate-btn" class="submit-btn">生成语音</button>
+    </form>
+    <div id="status" class="status"></div>
+    <div id="result-container" class="result-container">
+        <audio id="audio-player" controls></audio>
+        <a id="download-link" href="#" download="synthesis.mp3" class="download-link">下载 MP3</a>
+    </div>
+	
+	
+	<a href="https://github.com/jianchang512/chatterbox-api" target="_blank" id="tips">GitHub:jianchang512/chatterbox-api</a>
+</div>
+
+<script>
+document.addEventListener('DOMContentLoaded', () => {
+    const ttsForm = document.getElementById('tts-form');
+    const textInput = document.getElementById('text-input');
+    const audioPromptInput = document.getElementById('audio-prompt');
+    const fileNameSpan = document.getElementById('file-name');
+    const generateBtn = document.getElementById('generate-btn');
+    const statusDiv = document.getElementById('status');
+    const resultContainer = document.getElementById('result-container');
+    const audioPlayer = document.getElementById('audio-player');
+    const downloadLink = document.getElementById('download-link');
+
+    // 更新显示的文件名
+    audioPromptInput.addEventListener('change', () => {
+        if (audioPromptInput.files.length > 0) {
+            fileNameSpan.textContent = audioPromptInput.files[0].name;
+        } else {
+            fileNameSpan.textContent = '未选择文件';
+        }
+    });
+
+    ttsForm.addEventListener('submit', async (event) => {
+        event.preventDefault(); // 阻止表单默认提交
+
+        const text = textInput.value.trim();
+        if (!text) {
+            alert('请输入要转换的文本！');
+            return;
+        }
+
+        // 禁用按钮并显示加载状态
+        generateBtn.disabled = true;
+        generateBtn.textContent = '生成中...';
+        statusDiv.textContent = '正在请求服务器，请稍候';
+        statusDiv.classList.add('loading');
+        resultContainer.style.display = 'none';
+		let cfg_weight=document.getElementById('cfg_weight').value
+		let language=document.getElementById('language').value
+		let exaggeration= String(document.getElementById('exaggeration').value)
+
+        const audioFile = audioPromptInput.files[0];
+
+        try {
+            let response;
+            if (audioFile) {
+                // 使用接口2：带参考音频
+                const formData = new FormData();
+                formData.append('input', text);
+                formData.append('response_format', 'mp3');
+                formData.append('exaggeration', exaggeration);
+                formData.append('cfg_weight', cfg_weight);
+                formData.append('audio_prompt', audioFile);
+
+                response = await fetch('/v2/audio/speech_with_prompt', {
+                    method: 'POST',
+                    body: formData,
+                });
+            } else {
+                // 使用接口1：兼容OpenAI
+                const payload = {
+                    input: text,
+					speed:cfg_weight,
+					voice:language,
+					instructions:exaggeration,
+                    model: 'chatterbox-tts', // 兼容参数
+                    response_format: 'mp3'   // 请求mp3格式
+                };
+                response = await fetch('/v1/audio/speech', {
+                    method: 'POST',
+                    headers: { 'Content-Type': 'application/json' },
+                    body: JSON.stringify(payload),
+                });
+            }
+
+            if (!response.ok) {
+                const errorData = await response.json().catch(() => ({error: '无法解析的服务器错误'}));
+                throw new Error(`服务器错误: ${response.status} - ${errorData.error || '未知错误'}`);
+            }
+
+            // 处理成功的音频流
+            const blob = await response.blob();
+            const audioUrl = URL.createObjectURL(blob);
+
+            audioPlayer.src = audioUrl;
+            downloadLink.href = audioUrl;
+
+            resultContainer.style.display = 'block';
+            statusDiv.textContent = '🎉 生成成功！';
+            statusDiv.style.color = 'green';
+
+        } catch (error) {
+            console.error('TTS Generation Error:', error);
+            statusDiv.textContent = `❌ 生成失败: ${error.message}`;
+            statusDiv.style.color = 'red';
+        } finally {
+            // 恢复按钮状态
+            generateBtn.disabled = false;
+            generateBtn.textContent = '生成语音';
+            statusDiv.classList.remove('loading');
+        }
+    });
+});
+</script>
+
+</body>
+</html>

启动服务.bat

@@ -0,0 +1,24 @@
+@echo off
+:: 将当前代码页设置为UTF-8，以正确显示中文字符。
+chcp 65001 > nul
+
+TITLE Chatterbox TTS 服务启动器
+
+:: =======================================================
+:: ==         Chatterbox TTS 服务启动器                 ==
+:: =======================================================
+echo.
+
+
+
+:: 定义虚拟环境中Python解释器的路径
+rem set HF_ENDPOINT=https://hf-mirror.com
+rem set https_proxy=http://127.0.0.1:10808
+set "VENV_PYTHON="%~dp0runtime\python.exe""
+
+%VENV_PYTHON% app.py
+
+echo.
+echo(服务已停止。
+echo.
+pause

安装N卡GPU支持.bat

@@ -0,0 +1,20 @@
+@echo off
+:: 将当前代码页设置为UTF-8，以正确显示中文字符。
+chcp 65001 > nul
+
+TITLE 安装N卡GPU支持 
+
+
+
+set "VENV_PYTHON="%~dp0runtime\python.exe""
+
+
+
+call %VENV_PYTHON% -m pip uninstall  -y  torch torchaudio 
+call %VENV_PYTHON% -m pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu128
+
+echo.
+echo( 安装 cuda12.8 完毕，请重新执行启动脚本
+echo.
+
+pause