Upload folder using huggingface_hub

.dockerignore

@@ -0,0 +1,18 @@
+.git
+.gitignore
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.pytest_cache
+.mypy_cache
+.ruff_cache
+
+# Local tooling / deploy helper (not needed inside the Space image)
+chouxiang
+
+# Local-only artifacts
+token.txt
+shibie.wav
+uv.lock
+

.gitignore

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+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv
+shibie.wav
+token.txt

Dockerfile

@@ -0,0 +1,29 @@
+FROM python:3.12-slim
+
+WORKDIR /app
+
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# System deps:
+# - ffmpeg: input media decoding/encoding
+# - libsndfile1: audio I/O deps used by common audio stacks
+# - libgomp1: OpenMP runtime (often needed by ML deps like ctranslate2)
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    ffmpeg \
+    libsndfile1 \
+    libgomp1 \
+    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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+be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  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
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+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 +1,171 @@
 ---
-title: Whisperx Api
-emoji: 🏃
-colorFrom: green
-colorTo: gray
+title: WhisperX API
 sdk: docker
-pinned: false
+app_port: 7860
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# WhisperX API with Web UI
+
+
+一键在本地部署一个带 Web 界面的 WhisperX 服务，提供高精度的语音转录和说话人分离功能，同时兼容 OpenAI API。
+
+![Web UI Screenshot](https://pvtr2.pyvideotrans.com/1762936042163_image.png)
+
+## ✨ 项目亮点
+
+*   🚀 **一键启动**: 使用 `uv` 工具，一条命令即可完成环境配置和启动。
+*   💻 **简洁 Web UI**: 提供开箱即用的网页界面，通过拖拽即可完成音频/视频转录。
+*   🗣️ **说话人分离**: 基于 `pyannote.audio`，自动识别并标注对话中的不同说话人。
+*   ⚡ **OpenAI 兼容 API**: 可作为 OpenAI Whisper API 的本地平替，无缝集成到现有项目中。
+*   🔒 **完全本地化**: 所有计算都在你的电脑上完成，确保数据隐私和安全。
+*   🎯 **高精度转录**: 基于强大的 WhisperX (FasterWhisper)，提供快速且准确的转录结果。
+
+## 🛠️ 准备工作
+
+在开始之前，请确保您的系统已安装以下必备软件：
+
+1.  **硬件要求**:
+    *   **强烈推荐**: 拥有一块 NVIDIA 显卡 (GPU) 并安装 [CUDA](https://developer.nvidia.com/cuda-toolkit)，6GB 以上显存。
+    *   **最低要求**: 现代多核 CPU，但处理速度会较慢。
+
+2.  **软件依赖**:
+    *   **Python**: `3.10` - `3.12` 版本。
+    *   **[uv](https://github.com/astral-sh/uv)**: 一个极速的 Python 包管理器。
+    *   **[FFmpeg](https://ffmpeg.org/download.html)**: 用于音视频格式转换。
+
+
+3.  **网络环境**:
+    *   首次运行时需要从 Hugging Face 下载模型，请确保您的网络可以访问 `huggingface.co`。
+
+## 🚀 快速开始
+
+#### 第 1 步：克隆项目
+
+```bash
+git clone https://github.com/jianchang512/whisperx-api.git
+cd whisperx-api
+```
+
+#### 第 2 步：配置说话人分离 (可选)
+
+
+1.  **登录 Hugging Face**: 访问 [huggingface.co](https://huggingface.co/) 并注册/登录。
+
+2.  **同意模型协议**:
+    *   访问 [pyannote/speaker-diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1)
+    *   访问 [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0)
+    *   在这两个页面同意并接受用户协议。
+
+3.  **获取并配置 Token**:
+    *   在 [Hugging Face Tokens 页面](https://huggingface.co/settings/tokens) 创建一个新的 **read** 权限的访问令牌。
+    *   在项目根目录下创建一个名为 `token.txt` 的文件，并将复制的令牌粘贴进去。
+
+#### 第 3 步：一键启动！
+
+确保终端位于项目根目录，然后运行：
+
+```bash
+uv run app.py
+```
+
+`uv` 会自动处理所有 Python 依赖的安装。首次运行会下载模型，请耐心等待。当看到以下日志时，表示服务已成功启动：
+
+![Startup Log](https://pvtr2.pyvideotrans.com/1762936028281_image.png)
+
+服务启动后，它会自动在浏览器中打开 **`http://127.0.0.1:9092`**。
+
+## ☁️ 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（或用 `chouxiang/deploy.py` 自动上传）。
+3.  Space 会自动构建并对外提供：
+    *   Web UI: `https://<your-space>.hf.space/`
+    *   OpenAI 兼容 API: `https://<your-space>.hf.space/v1/audio/transcriptions`
+
+可选环境变量（Space `Settings -> Secrets`）：
+*   `HUGGING_FACE_TOKEN`: 启用说话人分离（pyannote）所需；不设置则自动禁用。
+*   `DEFAULT_MODEL`: CPU 建议用 `tiny|base|small`（默认 CPU 为 `small`）。
+*   `ALLOW_LARGE_ON_CPU=1`: 允许在 CPU 上请求 `large-*`（不推荐，容易超时/内存不足）。
+
+## 📖 使用指南
+
+### 方式一：Web 界面 (推荐)
+
+1.  **上传文件**: 点击或拖拽音频/视频文件到上传区域。
+2.  **配置参数**:
+    *   **语言**: 选择音频语言或保持“自动检测”。
+    *   **模型**: 模型越大，效果越好但速度越慢。`large-v3-turbo` 是推荐的平衡点。
+    *   **提示词 (Prompt)**: 提供专业术语、人名等可以提高识别准确率 (例如 `OpenAI, WhisperX, PyTorch`)。
+3.  **开始转录**: 点击“提交转录”按钮。
+4.  **查看和下载**: 结果会以 SRT 字幕格式显示在下方文本框中，可直接编辑并下载。
+
+### 方式二：OpenAI 兼容 API
+
+您可以将此服务作为 OpenAI Whisper API 的本地替代品。
+
+model: tiny|base|small|medium|large-v2|large-v3|large-v3-turbo
+
+response_format: 固定值 diarized_json
+
+extra_body:
+
+	max_speakers: 最大说话人数量，-1:不启用，0:启用说话人并且不限制最大说话人数量，>0:最大说话人数量
+
+	min_speakers: 最小说话人数量，=0:不指定最小说话人数量，>0:最小说话人数量
+
+**示例 Python 代码:**
+
+```python
+from openai import OpenAI
+
+# base_url 指向本地服务地址，api_key 可任意填写
+client = OpenAI(base_url='http://127.0.0.1:9092/v1', api_key='dummy-key')
+
+audio_path = "path/to/your/audio.wav"
+
+with open(audio_path, "rb") as audio_file:
+  transcript = client.audio.transcriptions.create(
+    model="large-v3", # 可选 'tiny', 'base', 'large-v3' 等
+    file=audio_file,
+    response_format="diarized_json", # 固定值
+	extra_body={
+      "max_speakers": 4, # -1=不启用说话人识别，0=启用说话人并且不指定最大说话人数量，>0=最大说话人数量
+	  "min_speakers": 2  # =0 不指定最小说话人数量，>0=最小说话人数量
+    },
+  )
+
+# 打印带说话人信息的字幕片段
+for segment in transcript.segments:
+    speaker = segment.get('speaker', 'Unknown')
+    start_time = segment['start']
+    end_time = segment['end']
+    text = segment['text']
+    
+    print(f"[{start_time:.2f}s -> {end_time:.2f}s] {speaker}: {text}")
+
+# output: [TranscriptionDiarizedSegment(id=None, end=24.283, speaker=None, start=0.031, text='五老星系中發訊的有機分子我們林第三類接觸還有多人微博 真是展開拍攝任務已經進來中年最近也傳過來許多過去難以拍攝到的照片又越出天文學家在自然期看上發表了這場照片在藍色核心外環繞著一圈橘黃色的光 芒這是一個星系規模的甜甜圈', type=None), TranscriptionDiarizedSegment(id=None, end=40.821, speaker=None, start=24.263, text='這是一個傳送門這是外星文明的代生環其實這是一個還有有幾五多環方向聽的古老星系他的名字是SPT 臨四一巴 带選四十七因為名字很長以下我們就檢稱為SPT 臨四一巴吧', type=None), TranscriptionDiarizedSegment(id=None, end=57.544, speaker=None, start=40.801, text='這個結果有什麼特殊意義這代表我們發現外形生命的嗎?本集節目是販唐會員選題紅每個月都會製作由會員投票出來的題目如果你有好題目希望我們做一集來講解或討論哪上點擊加入按鈕成為我們的會員吧', type=None),...]	
+	
+```
+
+
+## ❓ 常见问题 (FAQ)
+
+*   **Q: 启动时提示 `FFmpeg not found`？**
+    A: 说明 FFmpeg 未正确安装或未添加到系统环境变量(PATH)。请参考 **准备工作** 中的安装指南。
+
+*   **Q: 点击“提交转录”后长时间无响应或报错？**
+    A: 首次运行需要下载模型，请耐心等待。如果报错，请检查终端日志。最常见的原因是网络问题导致模型下载失败。
+
+*   **Q: 结果中为何没有 `[Speaker1]`, `[Speaker2]` 标记？**
+    A: 1) 音频中只有单人说话，程序会自动判断。2) 您未配置说话人分离功能（**第 2 步**），或 Hugging Face 上的模型协议申请还未通过审核。
+
+*   **Q: 处理速度很慢怎么办？**
+    A: 这是因为您在使用 CPU 进行计算。使用 NVIDIA GPU 会极大提升处理速度。
+
+
+
+## 致谢
+
+*   [WhisperX](https://github.com/m-bain/whisperX)
+*   [Faster Whisper](https://github.com/guillaumekln/faster-whisper)
+*   [pyannote.audio](https://github.com/pyannote/pyannote-audio)

app.py

@@ -0,0 +1,267 @@
+
+import os
+import tempfile
+import torch
+import whisperx
+from flask import Flask, request, jsonify, render_template
+from waitress import serve
+import logging
+import webbrowser
+from threading import Timer
+import shutil
+import sys
+import ffmpeg
+try:
+    from whisperx.diarize import DiarizationPipeline
+except Exception:
+    DiarizationPipeline = None
+
+# --- 全局配置与初始化 ---
+
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+def _env_bool(name: str, default: bool) -> bool:
+    val = os.environ.get(name)
+    if val is None:
+        return default
+    return val.strip().lower() in {"1", "true", "yes", "y", "on"}
+
+def get_hf_token():
+    """
+    获取 Hugging Face 令牌。
+    优先从当前目录的 'token.txt' 文件读取，如果失败则从环境变量 'HUGGING_FACE_TOKEN' 读取。
+    """
+    token = None
+    token_file = 'token.txt'
+    if os.path.exists(token_file):
+        try:
+            with open(token_file, 'r', encoding='utf-8') as f:
+                token = f.read().strip()
+            if token:
+                logging.info(f"成功从 {token_file} 文件中读取 Hugging Face 令牌。")
+                return token
+        except Exception as e:
+            logging.warning(f"无法从 {token_file} 读取令牌: {e}")
+
+    token = os.environ.get("HUGGING_FACE_TOKEN")
+    if token:
+        logging.info("成功从环境变量中读取 Hugging Face 令牌。")
+    else:
+        logging.warning("在 token.txt 或环境变量中均未找到 Hugging Face 令牌。说话人分离功能将被禁用。")
+    return token
+
+HF_TOKEN = get_hf_token()
+
+# 设备和计算类型配置
+DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
+COMPUTE_TYPE = "float16" if torch.cuda.is_available() else "int8"
+BATCH_SIZE = 16 if DEVICE == "cuda" else 8
+
+logging.info(f"使用设备: {DEVICE}，计算类型: {COMPUTE_TYPE}")
+
+# 模型配置
+ALLOWED_MODELS = ['tiny', 'base', 'small', 'medium', 'large-v1', 'large-v2', 'large-v3', 'large-v3-turbo']
+DEFAULT_MODEL = os.environ.get("DEFAULT_MODEL") or ("small" if DEVICE == "cpu" else "large-v3")
+ALLOW_LARGE_ON_CPU = _env_bool("ALLOW_LARGE_ON_CPU", False)
+
+# 模型缓存
+whisper_models_cache = {}
+diarize_model = None
+diarize_model_loaded = False
+align_models_cache = {}
+
+def get_whisper_model(model_name: str):
+    if model_name not in whisper_models_cache:
+        logging.info(f"正在加载 Whisper 模型 '{model_name}'...")
+        try:
+            model = whisperx.load_model(model_name, DEVICE, compute_type=COMPUTE_TYPE)
+            whisper_models_cache[model_name] = model
+            logging.info(f"模型 '{model_name}' 加载成功。")
+        except Exception as e:
+            logging.error(f"加载 Whisper 模型 '{model_name}' 失败: {e}")
+            if str(e).find('huggingface'):
+                print(f"\n\n=======可能模型下载失败，请尝试科学上网后再次重试=======\n\n")
+            raise
+    return whisper_models_cache[model_name]
+
+def get_align_model(language_code: str):
+    if language_code not in align_models_cache:
+        logging.info(f"正在加载对齐模型 (language={language_code})...")
+        model_a, metadata = whisperx.load_align_model(language_code=language_code, device=DEVICE)
+        align_models_cache[language_code] = (model_a, metadata)
+        logging.info("对齐模型加载成功。")
+    return align_models_cache[language_code]
+
+def get_diarize_model():
+    global diarize_model, diarize_model_loaded
+    
+
+    if not diarize_model_loaded:
+        logging.info("正在尝试加载说话人分离模型...")
+        if DiarizationPipeline is None:
+            logging.warning("未检测到说话人分离依赖 (DiarizationPipeline)，此功能将被禁用。")
+            diarize_model_loaded = True
+            return None
+        if not HF_TOKEN:
+            diarize_model_loaded = True
+            return None
+        try:
+            diarize_model = DiarizationPipeline(use_auth_token=HF_TOKEN, device=DEVICE)
+            diarize_model_loaded = True
+            logging.info("说话人分离模型加载成功。")
+        except Exception as e:
+            logging.error(f"严重错误: 说话人分离模型加载失败。此功能将被禁用。错误信息: {e}")
+            diarize_model = None 
+            diarize_model_loaded = True
+    return diarize_model
+
+# --- Flask 应用 ---
+app = Flask(__name__, template_folder='.')
+
+@app.route('/', methods=['GET'])
+def index():
+    return render_template('index.html')
+
+@app.route('/v1/audio/transcriptions', methods=['POST'])
+def audio_transcriptions():
+    if 'file' not in request.files:
+        return jsonify({"error": "请求中未包含文件部分"}), 400
+    file = request.files['file']
+    if file.filename == '':
+        return jsonify({"error": "未选择任何文件"}), 400
+    
+    print(request.form)
+    model_id = request.form.get('model', DEFAULT_MODEL)
+    model_name = 'large-v3' if model_id == 'large-v3-turbo' else model_id
+    if model_name not in ALLOWED_MODELS:
+        model_name = DEFAULT_MODEL
+    if DEVICE == "cpu" and (model_name.startswith("large-") or model_name == "large") and not ALLOW_LARGE_ON_CPU:
+        logging.warning(f"CPU 环境下请求大模型 '{model_name}'，将自动降级为 'small' (可通过 ALLOW_LARGE_ON_CPU=1 关闭降级)。")
+        model_name = "small"
+    
+    language = request.form.get('language') or None
+    prompt = request.form.get('prompt')
+    max_speakers=int(request.form.get('max_speakers',-1))
+    min_speakers=int(request.form.get('min_speakers',0))
+    
+    logging.info(f"收到请求: 模型='{model_id}', 语言='{language or '自动检测'}', 提示词='{'有' if prompt else '无'}'")
+
+    input_file_path = None
+    processed_wav_path = None
+    try:
+        suffix = os.path.splitext(file.filename)[1]
+        with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp:
+            file.save(tmp.name)
+            input_file_path = tmp.name
+
+        logging.info(f"正在将上传的文件 '{file.filename}' 转换为标准的 16kHz 单声道 WAV 格式...")
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_wav:
+            processed_wav_path = tmp_wav.name
+        
+        try:
+            (
+                ffmpeg
+                .input(input_file_path)
+                .output(processed_wav_path, ac=1, ar=16000, acodec='pcm_s16le', vn=None)
+                .run(capture_stdout=True, capture_stderr=True, overwrite_output=True)
+            )
+            logging.info("文件格式转换成功。")
+        except ffmpeg.Error as e:
+            error_details = e.stderr.decode('utf-8', errors='ignore')
+            logging.error(f"FFmpeg 文件转换失败: {error_details}")
+            return jsonify({"error": f"音频/视频文件处理失败，可能是文件已损坏或格式不受支持。"}), 400
+
+        audio = whisperx.load_audio(processed_wav_path)
+        model = get_whisper_model(model_name)
+        
+        # ---
+        # *** FIX IS HERE ***
+        # ---
+        transcribe_options = {}
+        if language:
+            transcribe_options['language'] = language
+        if prompt:
+            # 使用正确的参数名 'prompt'
+            transcribe_options['prompt'] = prompt
+        print('开始转录')
+        result = model.transcribe(audio, batch_size=BATCH_SIZE, **transcribe_options)
+        print('转录结束，准备对齐')        
+        model_a, metadata = get_align_model(result["language"])
+        result = whisperx.align(result["segments"], model_a, metadata, audio, DEVICE, return_char_alignments=False)
+        
+        if max_speakers>-1:
+            print('进入说话人识别')
+            diar_model = get_diarize_model()
+            if diar_model:
+                try:
+                    diarize_segments = diar_model(audio,max_speakers=max_speakers if max_speakers>0 else None,min_speakers=min_speakers if min_speakers>0 else None)
+                    result = whisperx.assign_word_speakers(diarize_segments, result)
+                except Exception as e:
+                    logging.error(f"说话人分离运行时失败: {e}。将回退到单说话人模式。")
+        
+        speakers = {segment.get('speaker') for segment in result["segments"] if 'speaker' in segment}
+        is_single_speaker = len(speakers) <= 1
+        logging.info(f"检测到的说话人: {speakers}。单说话人模式: {'是' if is_single_speaker else '否'}")
+
+        speaker_mapping = {f"SPEAKER_{i:02d}": f"Speaker{i+1}" for i in range(20)}
+        
+        
+        print(result)
+        formatted_segments = []
+        for segment in result["segments"]:
+            speaker_raw = segment.get("speaker", "SPEAKER_00")
+            speaker_name = speaker_mapping.get(speaker_raw, speaker_raw)
+            text = segment['text'].strip()
+            if not text:
+                continue
+
+
+            tmp={
+                "start": segment['start'],
+                "end": segment['end'],
+                "text": text
+            }
+            segment_speaker = speaker_name if not is_single_speaker else None
+            if segment_speaker:
+                tmp['speaker']=segment_speaker
+            formatted_segments.append(tmp)
+        
+        response_data = {"segments": formatted_segments}
+        return jsonify(response_data)
+
+    except Exception as e:
+        logging.error(f"处理流程中发生未知错误: {e}", exc_info=True)
+        return jsonify({"error": "处理过程中发生内部错误。"}), 500
+    finally:
+        if input_file_path and os.path.exists(input_file_path):
+            os.remove(input_file_path)
+            logging.info(f"已清理临时上传文件: {input_file_path}")
+        if processed_wav_path and os.path.exists(processed_wav_path):
+            os.remove(processed_wav_path)
+            logging.info(f"已清理临时WAV文件: {processed_wav_path}")
+
+# --- 启动服务 ---
+def check_ffmpeg():
+    if not shutil.which("ffmpeg"):
+        logging.error("错误: 系统 PATH 中未找到 FFmpeg。")
+        print("\n错误: 系统 PATH 中未找到 FFmpeg。")
+        print("请确保您已安装 FFmpeg 并且其路径已添加到系统环境变量中。")
+        print("Windows 安装指南: https://www.wikihow.com/Install-FFmpeg-on-Windows")
+        print("macOS (使用 Homebrew): brew install ffmpeg")
+        print("Linux (Ubuntu/Debian): sudo apt update && sudo apt install ffmpeg")
+        sys.exit(1)
+    logging.info("FFmpeg 环境检查通过。")
+
+def open_browser(url):
+    webbrowser.open_new(url)
+
+if __name__ == '__main__':
+    check_ffmpeg()
+    host = os.environ.get("HOST", "127.0.0.1")
+    port = int(os.environ.get("PORT", "9092"))
+    url = f"http://{host}:{port}"
+    running_in_space = bool(os.environ.get("SPACE_ID")) or bool(os.environ.get("HF_SPACE")) or bool(os.environ.get("SYSTEM") == "spaces")
+    if _env_bool("OPEN_BROWSER", True) and not running_in_space:
+        Timer(1, lambda: open_browser(url)).start()
+    logging.info(f"服务已启动，正在监听 http://{host}:{port}")
+    serve(app, host=host, port=port, threads=10)

index.html

@@ -0,0 +1,271 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>WhisperX API</title>
+    <style>
+        :root {
+            --bg-color: #f8f9fa; --font-color: #212529; --primary-color: #007bff;
+            --primary-hover-color: #0056b3; --border-color: #dee2e6; --card-bg: #ffffff;
+            --input-bg: #ffffff; --disabled-color: #6c757d; --error-color: #dc3545;
+            --success-color: #28a745;
+        }
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif;
+            margin: 0; padding: 2rem 1rem; background-color: var(--bg-color);
+            color: var(--font-color); display: flex; flex-direction: column; align-items: center; min-height: 100vh;
+        }
+        main { width: 100%; max-width: 1200px; }
+        .container { background-color: var(--card-bg); border-radius: 8px; padding: 2rem; box-shadow: 0 4px 8px rgba(0,0,0,0.05); }
+        h1 { text-align: center; color: var(--font-color); margin-bottom: 2rem; }
+        .form-group { margin-bottom: 1.5rem; }
+        .controls-row { display: flex; gap: 1.5rem; align-items: flex-end; flex-wrap: wrap; }
+        .control-item { flex: 1; min-width: 200px; }
+        label { display: block; font-weight: 600; margin-bottom: 0.5rem; }
+        input[type="text"], select {
+            width: 100%; padding: 0.75rem; border: 1px solid var(--border-color);
+            border-radius: 4px; font-size: 1rem; background-color: var(--input-bg);
+            box-sizing: border-box;
+        }
+        .prompt-help { font-size: 0.875rem; color: var(--disabled-color); margin-top: 0.5rem; display: none; }
+        #drop-zone {
+            border: 2px dashed var(--border-color); border-radius: 8px; padding: 3rem;
+            text-align: center; cursor: pointer; transition: background-color 0.2s ease, border-color 0.2s ease;
+        }
+        #drop-zone.drag-over { border-color: var(--primary-color); background-color: #e9f3ff; }
+        #drop-zone p { margin: 0; font-size: 1.1rem; color: var(--disabled-color); }
+        #file-name { font-weight: bold; color: var(--primary-color); margin-top: 0.5rem; }
+        #submit-btn {
+            width: 100%; padding: 0.8rem; font-size: 1.1rem; font-weight: 600;
+            color: #fff; background-color: var(--primary-color); border: none;
+            border-radius: 4px; cursor: pointer; transition: background-color 0.2s ease;
+        }
+        #submit-btn:hover:not(:disabled) { background-color: var(--primary-hover-color); }
+        #submit-btn:disabled { background-color: var(--disabled-color); cursor: not-allowed; }
+        #result-container { margin-top: 2rem; display: none; }
+        textarea {
+            width: 100%; height: 400px; padding: 1rem; border: 1px solid var(--border-color);
+            border-radius: 4px; font-family: "Courier New", Courier, monospace;
+            font-size: 0.95rem; line-height: 1.5; box-sizing: border-box; resize: vertical;
+        }
+        .result-actions { text-align: right; margin-top: 1rem; }
+        #download-btn {
+            padding: 0.6rem 1.2rem; font-size: 1rem; color: #fff;
+            background-color: var(--success-color); border: none; border-radius: 4px; cursor: pointer;
+        }
+        footer {
+            margin-top: 2rem;
+            padding: 1rem;
+            text-align: center;
+            color: var(--disabled-color);
+            font-size: 0.9rem;
+        }
+        footer a {
+            color: var(--primary-color);
+            text-decoration: none;
+        }
+        footer a:hover {
+            text-decoration: underline;
+        }
+    </style>
+</head>
+<body>
+    <main>
+        <div class="container">
+            <h1>WhisperX 语音转录UI & API</h1>
+
+            <div class="form-group">
+                <input type="file" id="file-input" accept="audio/*,video/*" style="display: none;">
+                <div id="drop-zone">
+                    <p>点击此处选择文件，或将音频/视频文件拖拽到这里</p>
+                    <p id="file-name"></p>
+                </div>
+            </div>
+            
+            <div class="form-group controls-row">
+                <div class="control-item">
+                    <label for="language">语言</label>
+                    <select id="language"></select>
+                </div>
+                <div class="control-item">
+                    <label for="model">模型</label>
+                    <select id="model">
+                        <option value="large-v3-turbo">large-v3-turbo (推荐)</option>
+                        <option value="large-v3">large-v3</option>
+                        <option value="large-v2">large-v2</option>
+                        <option value="medium">medium</option>
+                        <option value="small">small</option>
+                        <option value="base">base</option>
+                        <option value="tiny">tiny</option>
+                    </select>
+                </div>
+                <div class="control-item" style="flex: 1.5;">
+                    <label for="prompt">提示词 (Prompt)</label>
+                    <input type="text" id="prompt" placeholder="提高特定词汇识别率, 如: OpenAI, WhisperX">
+                </div>
+            </div>
+
+            <button id="submit-btn" disabled>提交转录</button>
+            
+            <div id="result-container">
+                <h2>预览和编辑</h2>
+                <textarea id="srt-output" placeholder="转录结果将显示在这里..."></textarea>
+                <div class="result-actions">
+                    <button id="download-btn">下载 SRT 文件</button>
+                </div>
+            </div>
+        </div>
+    </main>
+    <footer>
+        <p>By <a href="https://github.com/jianchang512/whisperx-api" target="_blank">jianchang512/whisperx-api</a></p>
+    </footer>
+
+    <script>
+        // DOM Elements
+        const dropZone = document.getElementById('drop-zone');
+        const fileInput = document.getElementById('file-input');
+        const fileNameDisplay = document.getElementById('file-name');
+        const languageSelect = document.getElementById('language');
+        const modelSelect = document.getElementById('model');
+        const promptInput = document.getElementById('prompt');
+        const submitBtn = document.getElementById('submit-btn');
+        const resultContainer = document.getElementById('result-container');
+        const srtOutput = document.getElementById('srt-output');
+        const downloadBtn = document.getElementById('download-btn');
+
+        let selectedFile = null;
+
+        const languages = {
+            "auto": "自动检测", "en": "English (英语)", "zh": "Chinese (中文)", "de": "German (德语)", "es": "Spanish (西班牙语)",
+            "ru": "Russian (俄语)", "ko": "Korean (韩语)", "fr": "French (法语)", "ja": "Japanese (日语)", "pt": "Portuguese (葡萄牙语)",
+            "tr": "Turkish (土耳其语)", "pl": "Polish (波兰语)", "ca": "Catalan (加泰罗尼亚语)", "nl": "Dutch (荷兰语)", "ar": "Arabic (阿拉伯语)",
+            "sv": "Swedish (瑞典语)", "it": "Italian (意大利语)", "id": "Indonesian (印尼语)", "hi": "Hindi (印地语)", "fi": "Finnish (芬兰语)",
+            "vi": "Vietnamese (越南语)", "he": "Hebrew (希伯来语)", "uk": "Ukrainian (乌克兰语)", "el": "Greek (希腊语)", "ms": "Malay (马来语)",
+            "cs": "Czech (捷克语)", "ro": "Romanian (罗马尼亚语)", "da": "Danish (丹麦语)", "hu": "Hungarian (匈牙利语)", "ta": "Tamil (泰米尔语)",
+            "no": "Norwegian (挪威语)", "th": "Thai (泰语)", "ur": "Urdu (乌尔都语)", "hr": "Croatian (克罗地亚语)", "bg": "Bulgarian (保加利亚语)",
+            "lt": "Lithuanian (立陶宛语)", "la": "Latin (拉丁语)", "mi": "Maori (毛利语)", "ml": "Malayalam (马拉雅拉姆语)", "cy": "Welsh (威尔士语)",
+            "sk": "Slovak (斯洛伐克语)", "te": "Telugu (泰卢固语)", "fa": "Persian (波斯语)", "lv": "Latvian (拉脱维亚语)", "bn": "Bengali (孟加拉语)",
+            "sr": "Serbian (塞尔维亚语)", "az": "Azerbaijani (阿塞拜疆语)", "sl": "Slovenian (斯洛文尼亚语)", "kn": "Kannada (卡纳达语)", "et": "Estonian (爱沙尼亚语)",
+            "mk": "Macedonian (马其顿语)", "br": "Breton (布列塔尼语)", "eu": "Basque (巴斯克语)", "is": "Icelandic (冰岛语)", "hy": "Armenian (亚美尼亚语)",
+            "ne": "Nepali (尼泊尔语)", "mn": "Mongolian (蒙古语)", "bs": "Bosnian (波斯尼亚语)", "kk": "Kazakh (哈萨克语)", "sq": "Albanian (阿尔巴尼亚语)",
+            "sw": "Swahili (斯瓦希里语)", "gl": "Galician (加利西亚语)", "mr": "Marathi (马拉地语)", "pa": "Punjabi (旁遮普语)", "si": "Sinhala (僧伽罗语)",
+            "km": "Khmer (高棉语)", "sn": "Shona (绍纳语)", "yo": "Yoruba (约鲁巴语)", "so": "Somali (索马里语)", "af": "Afrikaans (南非荷兰语)",
+            "oc": "Occitan (奥克语)", "ka": "Georgian (格鲁吉亚语)", "be": "Belarusian (白俄罗斯语)", "tg": "Tajik (塔吉克语)", "sd": "Sindhi (信德语)",
+            "gu": "Gujarati (古吉拉特语)", "am": "Amharic (阿姆哈拉语)", "yi": "Yiddish (意第绪语)", "lo": "Lao (老挝语)", "uz": "Uzbek (乌兹别克语)",
+            "fo": "Faroese (法罗语)", "ht": "Haitian Creole (海地克里奥尔语)", "ps": "Pashto (普什图语)", "tk": "Turkmen (土库曼语)", "nn": "Nynorsk (新挪威语)",
+            "mt": "Maltese (马耳他语)", "sa": "Sanskrit (梵语)", "lb": "Luxembourgish (卢森堡语)", "my": "Myanmar (Burmese) (缅甸语)", "bo": "Tibetan (藏语)",
+            "tl": "Tagalog (他加禄语)", "mg": "Malagasy (马尔加什语)", "as": "Assamese (阿萨姆语)", "tt": "Tatar (鞑靼语)", "haw": "Hawaiian (夏威夷语)",
+
+            "ln": "Lingala (林加拉语)", "ha": "Hausa (豪萨语)", "ba": "Bashkir (巴什基尔语)", "jw": "Javanese (爪哇语)", "su": "Sundanese (巽他语)"
+        }; // 修正了这里，补上了缺失的 '}'
+
+        function populateLanguages() {
+            for (const [code, name] of Object.entries(languages)) {
+                const option = document.createElement('option');
+                option.value = code === 'auto' ? '' : code;
+                option.textContent = name;
+                languageSelect.appendChild(option);
+            }
+        }
+        
+        // File Handling Logic
+        dropZone.addEventListener('click', () => fileInput.click());
+        fileInput.addEventListener('change', (e) => handleFile(e.target.files[0]));
+        ['dragenter', 'dragover', 'dragleave', 'drop'].forEach(eventName => {
+            dropZone.addEventListener(eventName, preventDefaults, false)
+        });
+        function preventDefaults(e) {
+            e.preventDefault();
+            e.stopPropagation();
+        }
+        dropZone.addEventListener('dragenter', () => dropZone.classList.add('drag-over'));
+        dropZone.addEventListener('dragleave', () => dropZone.classList.remove('drag-over'));
+        dropZone.addEventListener('drop', (e) => {
+            dropZone.classList.remove('drag-over');
+            handleFile(e.dataTransfer.files[0]);
+        });
+
+        function handleFile(file) {
+            if (file) {
+                selectedFile = file;
+                fileNameDisplay.textContent = `已选择文件: ${file.name}`;
+                submitBtn.disabled = false;
+            }
+        }
+
+        // Submission Logic
+        submitBtn.addEventListener('click', async () => {
+            if (!selectedFile) return alert('请先选择一个文件！');
+
+            submitBtn.disabled = true;
+            submitBtn.textContent = '转录中，请稍候...';
+            resultContainer.style.display = 'none';
+            srtOutput.value = '';
+
+            const formData = new FormData();
+            formData.append('file', selectedFile);
+            formData.append('model', modelSelect.value);
+            if (languageSelect.value) formData.append('language', languageSelect.value);
+            if (promptInput.value) formData.append('prompt', promptInput.value);
+
+            try {
+                const response = await fetch('/v1/audio/transcriptions', { method: 'POST', body: formData });
+                const data = await response.json();
+
+                if (!response.ok) throw new Error(data.error || `HTTP error! status: ${response.status}`);
+                
+                const srtContent = jsonToSrt(data);
+                srtOutput.value = srtContent;
+                resultContainer.style.display = 'block';
+            } catch (error) {
+                console.error('Error:', error);
+                alert(`转录失败: ${error.message}`);
+            } finally {
+                submitBtn.disabled = false;
+                submitBtn.textContent = '提交转录';
+            }
+        });
+
+        // Download Logic
+        downloadBtn.addEventListener('click', () => {
+            if (!srtOutput.value) return alert('没有内容可下载！');
+            const blob = new Blob([srtOutput.value], { type: 'text/srt;charset=utf-8' });
+            const url = URL.createObjectURL(blob);
+            const a = document.createElement('a');
+            a.href = url;
+            a.download = `${getTimestamp()}.srt`;
+            document.body.appendChild(a);
+            a.click();
+            document.body.removeChild(a);
+            URL.revokeObjectURL(url);
+        });
+
+        // Helper Functions
+        function jsonToSrt(data) {
+            return data.segments.map((segment, index) => {
+                const startTime = formatSrtTime(segment.start);
+                const endTime = formatSrtTime(segment.end);
+                const text = segment.text.trim();
+                // speaker 字段现在可能是 null，如果是，则不添加标签
+                const speakerTag = segment.speaker ? `[${segment.speaker}] ` : '';
+                
+                return `${index + 1}\n${startTime} --> ${endTime}\n${speakerTag}${text}\n`;
+            }).join('\n');
+        }
+
+        function formatSrtTime(seconds) {
+            const date = new Date(0);
+            date.setSeconds(seconds);
+            return date.toISOString().substr(11, 12).replace('.', ',');
+        }
+        
+        function getTimestamp() {
+            return new Date().toISOString().replace(/[-:T.]/g, '').slice(0, 14);
+        }
+
+        // Initialize
+        populateLanguages();
+    </script>
+</body>
+</html>

pyproject.toml

@@ -0,0 +1,17 @@
+[project]
+name = "wx"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "ffmpeg-python>=0.2.0",
+    "flask>=3.1.2",
+    "openai>=2.7.2",
+    "pydub>=0.25.1",
+    "waitress>=3.0.2",
+    "whisperx>=3.7.4",
+]
+
+[[tool.uv.index]]
+url = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"

requirements.txt

@@ -0,0 +1,11 @@
+--extra-index-url https://download.pytorch.org/whl/cpu
+torch
+torchaudio
+
+ffmpeg-python>=0.2.0
+flask>=3.1.2
+openai>=2.7.2
+pydub>=0.25.1
+waitress>=3.0.2
+whisperx>=3.7.4
+