feat(app): 适配最新版本

- 修改软件内部分提示文本 - 添加 API KEY 掩码，防止直接输出 API KEY 内容
feat(engine): 添加GLM-ASR语音识别引擎支持
2026-02-06 22:54:42 +08:00 · 2026-01-10 20:15:32 +08:00 · 2026-01-10 16:02:24 +08:00 · 2025-11-02 20:53:56 +08:00 · 2025-11-01 21:06:28 +08:00 · 2025-09-15 22:17:47 +08:00
37 changed files with 1074 additions and 128 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -7,8 +7,13 @@ out
 __pycache__
 .venv
 test.py
+
 engine/build
+engine/portaudio
+engine/pyinstaller_cache
 engine/models
 engine/notebook
+# engine/main.spec
+
 .repomap
 .virtualme
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@
        | <a href="./README_en.md">English</a>
        | <a href="./README_ja.md">日本語</a> |
    </p>
-    <p><i>v1.0.0 版本已经发布，新增 SOSV 本地字幕模型。更多的字幕模型正在尝试开发中...</i></p>
+    <p><i>v1.0.0 版本已经发布，新增 SOSV 本地字幕模型。当前功能已经基本完整，暂无继续开发计划...</i></p>
 </div>

 ![](./assets/media/main_zh.png)
@@ -41,7 +41,7 @@ SOSV 模型下载：[ Shepra-ONNX SenseVoice Model](https://github.com/HiMeditat
 - 支持调用本地 Ollama 模型或云端 Google 翻译 API 进行翻译
 - 跨平台（Windows、macOS、Linux）、多界面语言（中文、英语、日语）支持
 - 丰富的字幕样式设置（字体、字体大小、字体粗细、字体颜色、背景颜色等）
- 灵活的字幕引擎选择（阿里云 Gummy 云端模型、本地 Vosk 模型、本地 SOSV 模型、还可以自己开发模型）
+- 灵活的字幕引擎选择（阿里云 Gummy 云端模型、GLM-ASR 云端模型、本地 Vosk 模型、本地 SOSV 模型、还可以自己开发模型）
 - 多语言识别与翻译（见下文“⚙️ 自带字幕引擎说明”）
 - 字幕记录展示与导出（支持导出 `.srt` 和 `.json` 格式）

@@ -62,6 +62,7 @@ macOS 平台和 Linux 平台获取系统音频输出需要进行额外设置，
 |                                                              | 识别效果 | 部署类型          | 支持语言   | 翻译       | 备注                                                       |
 | ------------------------------------------------------------ | -------- | ------------- | ---------- | ---------- | ---------------------------------------------------------- |
 | [Gummy](https://help.aliyun.com/zh/model-studio/gummy-speech-recognition-translation) | 很好😊    | 云端 / 阿里云 | 10 种      | 自带翻译   | 收费，0.54CNY / 小时                                       |
+| [glm-asr-2512](https://docs.bigmodel.cn/cn/guide/models/sound-and-video/glm-asr-2512) | 很好😊 | 云端 / 智谱 AI | 4 种 | 需额外配置 | 收费，约 0.72CNY / 小时 |
 | [Vosk](https://alphacephei.com/vosk)                         | 较差😞    | 本地 / CPU    | 超过 30 种 | 需额外配置 | 支持的语言非常多                                           |
 | [SOSV](https://k2-fsa.github.io/sherpa/onnx/sense-voice/index.html) | 一般😐    | 本地 / CPU    | 5 种       | 需额外配置 | 仅有一个模型                                               |
 | 自己开发                                                     | 🤔        | 自定义        | 自定义     | 自定义     | 根据[文档](./docs/engine-manual/zh.md)使用 Python 自己开发 |
@@ -107,6 +108,29 @@ macOS 平台和 Linux 平台获取系统音频输出需要进行额外设置，

 使用 SOSV 模型的方式和 Vosk 一样，下载地址如下：https://github.com/HiMeditator/auto-caption/releases/tag/sosv-model

+## ⌨️ 在终端中使用
+
+软件采用模块化设计，可用分为软件主体和字幕引擎两部分，软件主体通过图形界面调用字幕引擎。核心的音频获取和音频识别功能都在字幕引擎中实现，而字幕引擎是可用脱离软件主体单独使用的。
+
+字幕引擎使用 Python 开发，通过 PyInstaller 打包为可执行文件。因此字幕引擎有两种使用方式：
+
+1. 使用项目字幕引擎部分的源代码，使用安装了对应库的 Python 环境进行运行
+2. 使用打包好的字幕引擎的可执行文件，通过终端运行
+
+运行参数和详细使用介绍请参考[用户手册](./docs/user-manual/zh.md#单独使用字幕引擎)。
+
+```bash
+python main.py \
+-e gummy \
+-k sk-******************************** \
+-a 0 \
+-d 1 \
+-s en \
+-t zh
+```
+
+![](./docs/img/07.png)
+
 ## ⚙️ 自带字幕引擎说明

 目前软件自带 3 个字幕引擎，正在规划新的引擎。它们的详细信息如下。
--- a/README_en.md
+++ b/README_en.md
@@ -14,7 +14,7 @@
        | <b>English</b>
        | <a href="./README_ja.md">日本語</a> |
    </p>
-    <p><i>Version 1.0.0 has been released, with the addition of the SOSV local caption model. More caption models are being developed...</i></p>
+    <p><i>Version 1.0.0 has been released, with the addition of the SOSV local caption model. The current features are basically complete, and there are no further development plans...</i></p>
 </div>

 ![](./assets/media/main_en.png)
@@ -108,6 +108,29 @@ To use the Vosk local caption engine, first download the model you need from the

 The way to use the SOSV model is the same as Vosk. The download address is as follows: https://github.com/HiMeditator/auto-caption/releases/tag/sosv-model

+## ⌨️ Using in Terminal
+
+The software adopts a modular design and can be divided into two parts: the main software body and caption engine. The main software calls caption engine through a graphical interface. Audio acquisition and speech recognition functions are implemented in the caption engine, which can be used independently without the main software.
+
+Caption engine is developed using Python and packaged as executable files via PyInstaller. Therefore, there are two ways to use caption engine:
+
+1. Use the source code of the project's caption engine part and run it with a Python environment that has the required libraries installed
+2. Run the packaged executable file of the caption engine through the terminal
+
+For runtime parameters and detailed usage instructions, please refer to the [User Manual](./docs/user-manual/en.md#using-caption-engine-standalone).
+
+```bash
+python main.py \
+-e gummy \
+-k sk-******************************** \
+-a 0 \
+-d 1 \
+-s en \
+-t zh
+```
+
+![](./docs/img/07.png)
+
 ## ⚙️ Built-in Subtitle Engines

 Currently, the software comes with 3 caption engines, with new engines under development. Their detailed information is as follows.
--- a/README_ja.md
+++ b/README_ja.md
@@ -14,7 +14,7 @@
        | <a href="./README_en.md">English</a>
        | <b>日本語</b> |
    </p>
-    <p><i>v1.0.0 バージョンがリリースされ、SOSV ローカル字幕モデルが追加されました。より多くの字幕モデルが開発中です...</i></p>
+    <p><i>v1.0.0 バージョンがリリースされ、SOSV ローカル字幕モデルが追加されました。現在の機能は基本的に完了しており、今後の開発計画はありません...</i></p>
 </div>

 ![](./assets/media/main_ja.png)
@@ -109,6 +109,29 @@ Voskローカル字幕エンジンを使用するには、まず[Vosk Models](ht

 SOSVモデルの使用方法はVoskと同じで、ダウンロードアドレスは以下の通りです：https://github.com/HiMeditator/auto-caption/releases/tag/sosv-model

+## ⌨️ ターミナルでの使用
+
+ソフトウェアはモジュール化設計を採用しており、ソフトウェア本体と字幕エンジンの2つの部分に分けることができます。ソフトウェア本体はグラフィカルインターフェースを通じて字幕エンジンを呼び出します。コアとなる音声取得および音声認識機能はすべて字幕エンジンに実装されており、字幕エンジンはソフトウェア本体から独立して単独で使用できます。
+
+字幕エンジンはPythonを使用して開発され、PyInstallerによって実行可能ファイルとしてパッケージ化されます。したがって、字幕エンジンの使用方法は以下の2つがあります：
+
+1. プロジェクトの字幕エンジン部分のソースコードを使用し、必要なライブラリがインストールされたPython環境で実行する
+2. パッケージ化された字幕エンジンの実行可能ファイルをターミナルから実行する
+
+実行引数および詳細な使用方法については、[User Manual](./docs/user-manual/en.md#using-caption-engine-standalone)をご参照ください。
+
+```bash
+python main.py \
+-e gummy \
+-k sk-******************************** \
+-a 0 \
+-d 1 \
+-s en \
+-t zh
+```
+
+![](./docs/img/07.png)
+
 ## ⚙️ 字幕エンジン説明

 現在、ソフトウェアには3つの字幕エンジンが搭載されており、新しいエンジンが計画されています。それらの詳細情報は以下の通りです。
--- a/build/entitlements.mac.plist
+++ b/build/entitlements.mac.plist
@@ -8,5 +8,9 @@
    <true/>
    <key>com.apple.security.cs.allow-dyld-environment-variables</key>
    <true/>
+    <key>com.apple.security.cs.disable-library-validation</key>
+    <true/>
+    <key>com.apple.security.device.audio-input</key>
+    <true/>
  </dict>
-</plist>
+</plist>
--- a/docs/api-docs/caption-engine.md
+++ b/docs/api-docs/caption-engine.md
@@ -64,6 +64,7 @@ Python 端监听到的音频流转换为的字幕数据。
 {
  command: "translation",
  time_s: string,
+  text: string,
  translation: string
 }
 ```
--- a/docs/img/06.png
+++ b/docs/img/06.png
--- a/docs/img/07.png
+++ b/docs/img/07.png
--- a/docs/user-manual/en.md
+++ b/docs/user-manual/en.md
@@ -130,3 +130,175 @@ The software provides two default caption engines. If you need other caption eng
 Note that when using a custom caption engine, all previous caption engine settings will be ineffective, and the configuration of the custom caption engine is entirely done through the engine command.

 If you are a developer and want to develop a custom caption engine, please refer to the [Caption Engine Explanation Document](../engine-manual/en.md).
+
+## Using Caption Engine Standalone
+
+### Runtime Parameter Description
+
+> The following content assumes users have some knowledge of running programs via terminal.
+
+The complete set of runtime parameters available for the caption engine is shown below:
+
+![](../img/06.png)
+
+However, when used standalone, some parameters may not need to be used or should not be modified.
+
+The following parameter descriptions only include necessary parameters.
+
+#### `-e , --caption_engine`
+
+The caption engine model to select, currently three options are available: `gummy, vosk, sosv`.
+
+The default value is `gummy`.
+
+This applies to all models.
+
+#### `-a, --audio_type`
+
+The audio type to recognize, where `0` represents system audio output and `1` represents microphone audio input.
+
+The default value is `0`.
+
+This applies to all models.
+
+#### `-d, --display_caption`
+
+Whether to display captions in the console, `0` means do not display, `1` means display.
+
+The default value is `0`, but it's recommended to choose `1` when using only the caption engine.
+
+This applies to all models.
+
+#### `-t, --target_language`
+
+> Note that Vosk and SOSV models have poor sentence segmentation, which can make translated content difficult to understand. It's not recommended to use translation with these two models.
+
+Target language for translation. All models support the following translation languages:
+
+- `none` No translation
+- `zh` Simplified Chinese
+- `en` English
+- `ja` Japanese
+- `ko` Korean
+
+Additionally, `vosk` and `sosv` models also support the following translations:
+
+- `de` German
+- `fr` French
+- `ru` Russian
+- `es` Spanish
+- `it` Italian
+
+The default value is `none`.
+
+This applies to all models.
+
+#### `-s, --source_language`
+
+Source language for recognition. Default value is `auto`, meaning no specific source language.
+
+Specifying the source language can improve recognition accuracy to some extent. You can specify the source language using the language codes above.
+
+This only applies to Gummy and SOSV models.
+
+The Gummy model can use all the languages mentioned above, plus Cantonese (`yue`).
+
+The SOSV model supports specifying the following languages: English, Chinese, Japanese, Korean, and Cantonese.
+
+#### `-k, --api_key`
+
+Specify the Alibaba Cloud API KEY required for the `Gummy` model.
+
+Default value is empty.
+
+This only applies to the Gummy model.
+
+#### `-tm, --translation_model`
+
+Specify the translation method for Vosk and SOSV models. Default is `ollama`.
+
+Supported values are:
+
+- `ollama` Use local Ollama model for translation. Users need to install Ollama software and corresponding models
+- `google` Use Google Translate API for translation. No additional configuration needed, but requires network access to Google
+
+This only applies to Vosk and SOSV models.
+
+#### `-omn, --ollama_name`
+
+Specify the Ollama model to call for translation. Default value is empty.
+
+It's recommended to use models with less than 1B parameters, such as: `qwen2.5:0.5b`, `qwen3:0.6b`.
+
+Users need to download the corresponding model in Ollama to use it properly.
+
+This only applies to Vosk and SOSV models.
+
+#### `-vosk, --vosk_model`
+
+Specify the path to the local folder of the Vosk model to call. Default value is empty.
+
+This only applies to the Vosk model.
+
+#### `-sosv, --sosv_model`
+
+Specify the path to the local folder of the SOSV model to call. Default value is empty.
+
+This only applies to the SOSV model.
+
+### Running Caption Engine Using Source Code
+
+> The following content assumes users who use this method have knowledge of Python environment configuration and usage.
+
+First, download the project source code locally. The caption engine source code is located in the  `engine` directory of the project. Then configure the Python environment, where the project dependencies are listed in the `requirements.txt` file in the `engine` directory.
+
+After configuration, enter the `engine` directory and execute commands to run the caption engine.
+
+For example, to use the Gummy model, specify audio type as system audio output, source language as English, and target language as Chinese, execute the following command:
+
+> Note: For better visualization, the commands below are written on multiple lines. If execution fails, try removing backslashes and executing as a single line command.
+
+```bash
+python main.py \
+-e gummy \
+-k sk-******************************** \
+-a 0 \
+-d 1 \
+-s en \
+-t zh
+```
+
+To specify the Vosk model, audio type as system audio output, translate to English, and use Ollama `qwen3:0.6b` model for translation:
+
+```bash
+python main.py \
+-e vosk \
+-vosk D:\Projects\auto-caption\engine\models\vosk-model-small-cn-0.22 \
+-a 0 \
+-d 1 \
+-t en \
+```
+
+To specify the SOSV model, audio type as microphone, automatically select source language, and no translation:
+
+```bash
+python main.py \
+-e sosv \
+-sosv D:\\Projects\\auto-caption\\engine\\models\\sosv-int8 \
+-a 1 \
+-d 1 \
+-s auto \
+-t none
+```
+
+Running result using the Gummy model is shown below:
+
+![](../img/07.png)
+
+### Running Subtitle Engine Executable File
+
+First, download the executable file for your platform from [GitHub Releases](https://github.com/HiMeditator/auto-caption/releases/tag/engine) (currently only Windows and Linux platform executable files are provided).
+
+Then open a terminal in the directory containing the caption engine executable file and execute commands to run the caption engine.
+
+Simply replace `python main.py` in the above commands with the executable file name (for example: `engine-win.exe`).
--- a/docs/user-manual/zh.md
+++ b/docs/user-manual/zh.md
@@ -128,3 +128,175 @@ sudo yum install pulseaudio pavucontrol
 注意使用自定义字幕引擎时，前面的字幕引擎的设置将全部不起作用，自定义字幕引擎的配置完全通过引擎指令进行配置。

 如果你是开发者，想开发自定义字幕引擎，请查看[字幕引擎说明文档](../engine-manual/zh.md)。
+
+## 单独使用字幕引擎
+
+### 运行参数说明
+
+> 以下内容默认用户对使用终端运行程序有一定了解。
+
+字幕引擎可用使用的完整的运行参数如下：
+
+![](../img/06.png)
+
+而在单独使用时其中某些参数并不需要使用，或者不适合进行修改。
+
+下面的运行参数说明仅包含必要的参数。
+
+#### `-e , --caption_engine`
+
+需要选择的字幕引擎模型，目前有三个可用，分别为：`gummy, vosk, sosv`。
+
+该项的默认值为 `gummy`。
+
+该项适用于所有模型。
+
+#### `-a, --audio_type`
+
+需要识别的音频类型，其中 `0` 表示系统音频输出，`1` 表示麦克风音频输入。
+
+该项的默认值为 `0`。
+
+该项适用于所有模型。
+
+#### `-d, --display_caption`
+
+是否在控制台显示字幕，`0` 表示不显示，`1` 表示显示。
+
+该项默认值为 `0`，只使用字幕引擎的话建议选 `1`。
+
+该项适用于所有模型。
+
+#### `-t, --target_language`
+
+> 其中 Vosk 和 SOSV 模型分句效果较差，会导致翻译内容难以理解，不太建议这两个模型使用翻译。
+
+需要翻译成的目标语言，所有模型都支持的翻译语言如下：
+
+- `none` 不进行翻译
+- `zh` 简体中文
+- `en` 英语
+- `ja` 日语
+- `ko` 韩语
+
+除此之外 `vosk` 和 `sosv` 模型还支持如下翻译：
+
+- `de` 德语
+- `fr` 法语
+- `ru` 俄语
+- `es` 西班牙语
+- `it` 意大利语
+
+该项的默认值为 `none`。
+
+该项适用于所有模型。
+
+#### `-s, --source_language`
+
+需要识别的语言的源语言，默认值为 `auto`，表示不指定源语言。
+
+但是指定源语言能在一定程度上提高识别准确率，可用使用上面的语言代码指定源语言。
+
+该项仅适用于 Gummy 和 SOSV 模型。
+
+其中 Gummy 模型可用使用上述全部的语言，在加上粤语（`yue`）。
+
+而 SOSV 模型支持指定的语言有：英语、中文、日语、韩语、粤语。
+
+#### `-k, --api_key`
+
+指定 `Gummy` 模型需要使用的阿里云 API KEY。
+
+该项默认值为空。
+
+该项仅适用于 Gummy 模型。
+
+#### `-tm, --translation_model`
+
+指定 Vosk 和 SOSV 模型的翻译方式，默认为 `ollama`。
+
+该项支持的值有：
+
+- `ollama` 使用本地 Ollama 模型进行翻译，需要用户安装 Ollama 软件和对应的模型
+- `google` 使用 Google 翻译 API 进行翻译，无需额外配置，但是需要有能访问 Google 的网络
+
+该项仅适用于 Vosk 和 SOSV 模型。
+
+#### `-omn, --ollama_name`
+
+指定需要调用进行翻译的 Ollama 模型。该项默认值为空。
+
+建议使用参数量小于 1B 的模型，比如： `qwen2.5:0.5b`, `qwen3:0.6b`。
+
+用户需要在 Ollama 中下载了对应的模型才能正常使用。
+
+该项仅适用于 Vosk 和 SOSV 模型。
+
+#### `-vosk, --vosk_model`
+
+指定需要调用的 Vosk 模型的本地文件夹的路径。该项默认值为空。
+
+该项仅适用于 Vosk  模型。
+
+#### `-sosv, --sosv_model`
+
+指定需要调用的 SOSV 模型的本地文件夹的路径。该项默认值为空。
+
+该项仅适用于 SOSV  模型。
+
+### 使用源代码运行字幕引擎
+
+> 以下内容默认使用该方式的用户对 Python 环境配置和使用有所了解。
+
+首先下载项目源代码到本地，其中字幕引擎源代码在项目的 `engine` 目录下。然后配置 Python 环境，其中项目依赖的 Python 包在 `engine` 目录下 `requirements.txt` 文件中。
+
+配置好后进入 `engine` 目录，执行命令进行运行字幕引擎。
+
+比如要使用 Gummy 模型，指定音频类型为系统音频输出，源语言为英语，翻译语言为中文，执行的命令如下：
+
+> 注意：为了更直观，下面的命令写在了多行，如果执行失败，尝试去掉反斜杠，并改换单行命令执行。
+
+```bash
+python main.py \
+-e gummy \
+-k sk-******************************** \
+-a 0 \
+-d 1 \
+-s en \
+-t zh
+```
+
+指定 Vosk 模型，指定音频类型为系统音频输出，翻译语言为英语，使用 Ollama `qwen3:0.6b` 模型进行翻译：
+
+```bash
+python main.py \
+-e vosk \
+-vosk D:\Projects\auto-caption\engine\models\vosk-model-small-cn-0.22 \
+-a 0 \
+-d 1 \
+-t en \
+```
+
+指定 SOSV 模型，指定音频类型为麦克风，自动选择源语言，不翻译，执行的命令如下：
+
+```bash
+python main.py \
+-e sosv \
+-sosv D:\\Projects\\auto-caption\\engine\\models\\sosv-int8 \
+-a 1 \
+-d 1 \
+-s auto \
+-t none
+```
+
+使用 Gummy 模型的运行效果如下：
+
+![](../img/07.png)
+
+### 运行字幕引擎可执行文件
+
+首先在 [GitHub Release](https://github.com/HiMeditator/auto-caption/releases/tag/engine) 中下载对应平台的可执行文件（目前仅提供 Windows 和 Linux 平台的字幕引擎可执行文件）。
+
+然后再字幕引擎可执行文件所在目录打开终端，执行命令进行运行字幕引擎。
+
+只需要将上述指令中的 `python main.py` 替换为可执行文件名称即可（比如：`engine-win.exe`）。
--- a/engine/audio2text/init.py
+++ b/engine/audio2text/init.py
@@ -1,3 +1,4 @@
 from .gummy import GummyRecognizer
 from .vosk import VoskRecognizer
-from .sosv import SosvRecognizer
+from .sosv import SosvRecognizer
+from .glm import GlmRecognizer
--- a/engine/audio2text/glm.py
+++ b/engine/audio2text/glm.py
@@ -0,0 +1,163 @@
+import threading
+import io
+import wave
+import struct
+import math
+import audioop
+import requests
+from datetime import datetime
+
+from utils import shared_data
+from utils import stdout_cmd, stdout_obj, google_translate, ollama_translate
+
+class GlmRecognizer:
+    """
+    使用 GLM-ASR 引擎处理音频数据，并在标准输出中输出 Auto Caption 软件可读取的 JSON 字符串数据
+
+    初始化参数：
+        url: GLM-ASR API URL
+        model: GLM-ASR 模型名称
+        api_key: GLM-ASR API Key
+        source: 源语言
+        target: 目标语言
+        trans_model: 翻译模型名称
+        ollama_name: Ollama 模型名称
+    """
+    def __init__(self, url: str, model: str, api_key: str, source: str, target: str | None, trans_model: str, ollama_name: str, ollama_url: str = '', ollama_api_key: str = ''):
+        self.url = url
+        self.model = model
+        self.api_key = api_key
+        self.source = source
+        self.target = target
+        if trans_model == 'google':
+            self.trans_func = google_translate
+        else:
+            self.trans_func = ollama_translate
+        self.ollama_name = ollama_name
+        self.ollama_url = ollama_url
+        self.ollama_api_key = ollama_api_key
+        
+        self.audio_buffer = []
+        self.is_speech = False
+        self.silence_frames = 0
+        self.speech_start_time = None
+        self.time_str = ''
+        self.cur_id = 0
+        
+        # VAD settings (假设 16k 16bit, chunk size 1024 or similar)
+        # 16bit = 2 bytes per sample.
+        # RMS threshold needs tuning. 500 is a conservative guess for silence.
+        self.threshold = 500 
+        self.silence_limit = 15 # frames (approx 0.5-1s depending on chunk size)
+        self.min_speech_frames = 10 # frames
+
+    def start(self):
+        """启动 GLM 引擎"""
+        stdout_cmd('info', 'GLM-ASR recognizer started.')
+
+    def stop(self):
+        """停止 GLM 引擎"""
+        stdout_cmd('info', 'GLM-ASR recognizer stopped.')
+
+    def process_audio(self, chunk):
+        # chunk is bytes (int16)
+        rms = audioop.rms(chunk, 2)
+        
+        if rms > self.threshold:
+            if not self.is_speech:
+                self.is_speech = True
+                self.time_str = datetime.now().strftime('%H:%M:%S.%f')[:-3]
+                self.audio_buffer = []
+            self.audio_buffer.append(chunk)
+            self.silence_frames = 0
+        else:
+            if self.is_speech:
+                self.audio_buffer.append(chunk)
+                self.silence_frames += 1
+                if self.silence_frames > self.silence_limit:
+                    # Speech ended
+                    if len(self.audio_buffer) > self.min_speech_frames:
+                        self.recognize(self.audio_buffer, self.time_str)
+                    self.is_speech = False
+                    self.audio_buffer = []
+                    self.silence_frames = 0
+    
+    def recognize(self, audio_frames, time_s):
+        audio_bytes = b''.join(audio_frames)
+        
+        wav_io = io.BytesIO()
+        with wave.open(wav_io, 'wb') as wav_file:
+            wav_file.setnchannels(1)
+            wav_file.setsampwidth(2)
+            wav_file.setframerate(16000)
+            wav_file.writeframes(audio_bytes)
+        wav_io.seek(0)
+        
+        threading.Thread(
+            target=self._do_request, 
+            args=(wav_io.read(), time_s, self.cur_id)
+        ).start()
+        self.cur_id += 1
+
+    def _do_request(self, audio_content, time_s, index):
+        try:
+            files = {
+                'file': ('audio.wav', audio_content, 'audio/wav')
+            }
+            data = {
+                'model': self.model,
+                'stream': 'false'
+            }
+            headers = {
+                'Authorization': f'Bearer {self.api_key}'
+            }
+            
+            response = requests.post(self.url, headers=headers, data=data, files=files, timeout=15)
+            
+            if response.status_code == 200:
+                res_json = response.json()
+                text = res_json.get('text', '')
+                if text:
+                    self.output_caption(text, time_s, index)
+            else:
+                try:
+                    err_msg = response.json()
+                    stdout_cmd('error', f"GLM API Error: {err_msg}")
+                except:
+                    stdout_cmd('error', f"GLM API Error: {response.text}")
+                
+        except Exception as e:
+            stdout_cmd('error', f"GLM Request Failed: {str(e)}")
+
+    def output_caption(self, text, time_s, index):
+        caption = {
+            'command': 'caption',
+            'index': index,
+            'time_s': time_s,
+            'time_t': datetime.now().strftime('%H:%M:%S.%f')[:-3],
+            'text': text,
+            'translation': ''
+        }
+        
+        if self.target:
+             if self.trans_func == ollama_translate:
+                 th = threading.Thread(
+                    target=self.trans_func,
+                    args=(self.ollama_name, self.target, caption['text'], time_s, self.ollama_url, self.ollama_api_key),
+                    daemon=True
+                )
+             else:
+                 th = threading.Thread(
+                    target=self.trans_func,
+                    args=(self.ollama_name, self.target, caption['text'], time_s),
+                    daemon=True
+                )
+             th.start()
+        
+        stdout_obj(caption)
+
+    def translate(self):
+        global shared_data
+        while shared_data.status == 'running':
+            chunk = shared_data.chunk_queue.get()
+            self.process_audio(chunk)
--- a/engine/audio2text/sosv.py
+++ b/engine/audio2text/sosv.py
@@ -29,7 +29,7 @@ class SosvRecognizer:
        trans_model: 翻译模型名称
        ollama_name: Ollama 模型名称
    """
-    def __init__(self, model_path: str, source: str, target: str | None, trans_model: str, ollama_name: str):
+    def __init__(self, model_path: str, source: str, target: str | None, trans_model: str, ollama_name: str, ollama_url: str = '', ollama_api_key: str = ''):
        if model_path.startswith('"'):
            model_path = model_path[1:]
        if model_path.endswith('"'):
@@ -45,6 +45,8 @@ class SosvRecognizer:
        else:
            self.trans_func = ollama_translate
        self.ollama_name = ollama_name
+        self.ollama_url = ollama_url
+        self.ollama_api_key = ollama_api_key
        self.time_str = ''
        self.cur_id = 0
        self.prev_content = ''
@@ -152,7 +154,7 @@ class SosvRecognizer:
                if self.target:
                    th = threading.Thread(
                        target=self.trans_func,
-                        args=(self.ollama_name, self.target, caption['text'], self.time_str),
+                        args=(self.ollama_name, self.target, caption['text'], self.time_str, self.ollama_url, self.ollama_api_key),
                        daemon=True
                    )
                    th.start()    
--- a/engine/audio2text/vosk.py
+++ b/engine/audio2text/vosk.py
@@ -18,7 +18,7 @@ class VoskRecognizer:
        trans_model: 翻译模型名称
        ollama_name: Ollama 模型名称
    """
-    def __init__(self, model_path: str, target: str | None, trans_model: str, ollama_name: str):
+    def __init__(self, model_path: str, target: str | None, trans_model: str, ollama_name: str, ollama_url: str = '', ollama_api_key: str = ''):
        SetLogLevel(-1)
        if model_path.startswith('"'):
            model_path = model_path[1:]
@@ -31,6 +31,8 @@ class VoskRecognizer:
        else:
            self.trans_func = ollama_translate
        self.ollama_name = ollama_name
+        self.ollama_url = ollama_url
+        self.ollama_api_key = ollama_api_key
        self.time_str = ''
        self.cur_id = 0
        self.prev_content = ''
@@ -66,7 +68,7 @@ class VoskRecognizer:
            if self.target:
                th = threading.Thread(
                    target=self.trans_func,
-                    args=(self.ollama_name, self.target, caption['text'], self.time_str),
+                    args=(self.ollama_name, self.target, caption['text'], self.time_str, self.ollama_url, self.ollama_api_key),
                    daemon=True
                )
                th.start()
--- a/engine/main.py
+++ b/engine/main.py
@@ -2,12 +2,13 @@ import wave
 import argparse
 import threading
 import datetime
-from utils import stdout, stdout_cmd
+from utils import stdout, stdout_cmd, change_caption_display
 from utils import shared_data, start_server
 from utils import merge_chunk_channels, resample_chunk_mono
 from audio2text import GummyRecognizer
 from audio2text import VoskRecognizer
 from audio2text import SosvRecognizer
+from audio2text import GlmRecognizer
 from sysaudio import AudioStream


@@ -74,7 +75,7 @@ def main_gummy(s: str, t: str, a: int, c: int, k: str, r: bool, rp: str):
    engine.stop()


-def main_vosk(a: int, c: int, vosk: str, t: str, tm: str, omn: str, r: bool, rp: str):
+def main_vosk(a: int, c: int, vosk: str, t: str, tm: str, omn: str, ourl: str, okey: str, r: bool, rp: str):
    """
    Parameters:
        a: Audio source: 0 for output, 1 for input
@@ -83,14 +84,16 @@ def main_vosk(a: int, c: int, vosk: str, t: str, tm: str, omn: str, r: bool, rp:
        t: Target language
        tm: Translation model type, ollama or google
        omn: Ollama model name
+        ourl: Ollama Base URL
+        okey: Ollama API Key
        r: Whether to record the audio
        rp: Path to save the recorded audio
    """
    stream = AudioStream(a, c)
    if t == 'none':
-        engine = VoskRecognizer(vosk, None, tm, omn)
+        engine = VoskRecognizer(vosk, None, tm, omn, ourl, okey)
    else:
-        engine = VoskRecognizer(vosk, t, tm, omn)
+        engine = VoskRecognizer(vosk, t, tm, omn, ourl, okey)

    engine.start()
    stream_thread = threading.Thread(
@@ -106,7 +109,7 @@ def main_vosk(a: int, c: int, vosk: str, t: str, tm: str, omn: str, r: bool, rp:
    engine.stop()


-def main_sosv(a: int, c: int, sosv: str, s: str, t: str, tm: str, omn: str, r: bool, rp: str):
+def main_sosv(a: int, c: int, sosv: str, s: str, t: str, tm: str, omn: str, ourl: str, okey: str, r: bool, rp: str):
    """
    Parameters:
        a: Audio source: 0 for output, 1 for input
@@ -116,14 +119,16 @@ def main_sosv(a: int, c: int, sosv: str, s: str, t: str, tm: str, omn: str, r: b
        t: Target language
        tm: Translation model type, ollama or google
        omn: Ollama model name
+        ourl: Ollama API URL
+        okey: Ollama API Key
        r: Whether to record the audio
        rp: Path to save the recorded audio
    """
    stream = AudioStream(a, c)
    if t == 'none':
-        engine = SosvRecognizer(sosv, s, None, tm, omn)
+        engine = SosvRecognizer(sosv, s, None, tm, omn, ourl, okey)
    else:
-        engine = SosvRecognizer(sosv, s, t, tm, omn)
+        engine = SosvRecognizer(sosv, s, t, tm, omn, ourl, okey)

    engine.start()
    stream_thread = threading.Thread(
@@ -139,15 +144,54 @@ def main_sosv(a: int, c: int, sosv: str, s: str, t: str, tm: str, omn: str, r: b
    engine.stop()


+def main_glm(a: int, c: int, url: str, model: str, key: str, s: str, t: str, tm: str, omn: str, ourl: str, okey: str, r: bool, rp: str):
+    """
+    Parameters:
+        a: Audio source
+        c: Chunk rate
+        url: GLM API URL
+        model: GLM Model Name
+        key: GLM API Key
+        s: Source language
+        t: Target language
+        tm: Translation model
+        omn: Ollama model name
+        ourl: Ollama API URL
+        okey: Ollama API Key
+        r: Record
+        rp: Record path
+    """
+    stream = AudioStream(a, c)
+    if t == 'none':
+        engine = GlmRecognizer(url, model, key, s, None, tm, omn, ourl, okey)
+    else:
+        engine = GlmRecognizer(url, model, key, s, t, tm, omn, ourl, okey)
+    
+    engine.start()
+    stream_thread = threading.Thread(
+        target=audio_recording,
+        args=(stream, True, r, rp),
+        daemon=True
+    )
+    stream_thread.start()
+    try:
+        engine.translate()
+    except KeyboardInterrupt:
+        stdout("Keyboard interrupt detected. Exiting...")
+    engine.stop()
+
+
+
 if __name__ == "__main__":
    parser = argparse.ArgumentParser(description='Convert system audio stream to text')
    # all
-    parser.add_argument('-e', '--caption_engine', default='gummy', help='Caption engine: gummy or vosk')
-    parser.add_argument('-a', '--audio_type', default=0, help='Audio stream source: 0 for output, 1 for input')
-    parser.add_argument('-c', '--chunk_rate', default=10, help='Number of audio stream chunks collected per second')
-    parser.add_argument('-p', '--port', default=0, help='The port to run the server on, 0 for no server')
-    parser.add_argument('-t', '--target_language', default='zh', help='Target language code, "none" for no translation')
-    parser.add_argument('-r', '--record', default=0, help='Whether to record the audio, 0 for no recording, 1 for recording')
+    parser.add_argument('-e', '--caption_engine', default='gummy', help='Caption engine: gummy or vosk or sosv')
+    parser.add_argument('-a', '--audio_type', type=int, default=0, help='Audio stream source: 0 for output, 1 for input')
+    parser.add_argument('-c', '--chunk_rate', type=int, default=10, help='Number of audio stream chunks collected per second')
+    parser.add_argument('-p', '--port', type=int, default=0, help='The port to run the server on, 0 for no server')
+    parser.add_argument('-d', '--display_caption', type=int, default=0, help='Display caption on terminal, 0 for no display, 1 for display')
+    parser.add_argument('-t', '--target_language', default='none', help='Target language code, "none" for no translation')
+    parser.add_argument('-r', '--record', type=int, default=0, help='Whether to record the audio, 0 for no recording, 1 for recording')
    parser.add_argument('-rp', '--record_path', default='', help='Path to save the recorded audio')
    # gummy and sosv
    parser.add_argument('-s', '--source_language', default='auto', help='Source language code')
@@ -156,17 +200,25 @@ if __name__ == "__main__":
    # vosk and sosv
    parser.add_argument('-tm', '--translation_model', default='ollama', help='Model for translation: ollama or google')
    parser.add_argument('-omn', '--ollama_name', default='', help='Ollama model name for translation')
+    parser.add_argument('-ourl', '--ollama_url', default='', help='Ollama API URL')
+    parser.add_argument('-okey', '--ollama_api_key', default='', help='Ollama API Key')
    # vosk only
    parser.add_argument('-vosk', '--vosk_model', default='', help='The path to the vosk model.')
    # sosv only
    parser.add_argument('-sosv', '--sosv_model', default=None, help='The SenseVoice model path')
+    # glm only
+    parser.add_argument('-gurl', '--glm_url', default='https://open.bigmodel.cn/api/paas/v4/audio/transcriptions', help='GLM API URL')
+    parser.add_argument('-gmodel', '--glm_model', default='glm-asr-2512', help='GLM Model Name')
+    parser.add_argument('-gkey', '--glm_api_key', default='', help='GLM API Key')

    args = parser.parse_args()
-    if int(args.port) == 0:
-        shared_data.status = "running"
-    else:
-        start_server(int(args.port))
-    
+
+    if args.port != 0:
+        threading.Thread(target=start_server, args=(args.port,), daemon=True).start()
+
+    if args.display_caption == '1':
+        change_caption_display(True)
+
    if args.caption_engine == 'gummy':
        main_gummy(
            args.source_language,
@@ -174,7 +226,7 @@ if __name__ == "__main__":
            int(args.audio_type),
            int(args.chunk_rate),
            args.api_key,
-            True if int(args.record) == 1 else False,
+            bool(int(args.record)),
            args.record_path
        )
    elif args.caption_engine == 'vosk':
@@ -185,7 +237,9 @@ if __name__ == "__main__":
            args.target_language,
            args.translation_model,
            args.ollama_name,
-            True if int(args.record) == 1 else False,
+            args.ollama_url,
+            args.ollama_api_key,
+            bool(int(args.record)),
            args.record_path
        )
    elif args.caption_engine == 'sosv':
@@ -197,7 +251,25 @@ if __name__ == "__main__":
            args.target_language,
            args.translation_model,
            args.ollama_name,
-            True if int(args.record) == 1 else False,
+            args.ollama_url,
+            args.ollama_api_key,
+            bool(int(args.record)),
+            args.record_path
+        )
+    elif args.caption_engine == 'glm':
+        main_glm(
+            int(args.audio_type),
+            int(args.chunk_rate),
+            args.glm_url,
+            args.glm_model,
+            args.glm_api_key,
+            args.source_language,
+            args.target_language,
+            args.translation_model,
+            args.ollama_name,
+            args.ollama_url,
+            args.ollama_api_key,
+            bool(int(args.record)),
            args.record_path
        )
    else:
--- a/engine/main.spec
+++ b/engine/main.spec
@@ -6,11 +6,17 @@ import sys
 if sys.platform == 'win32':
    vosk_path = str(Path('./.venv/Lib/site-packages/vosk').resolve())
 else:
-    vosk_path = str(Path('./.venv/lib/python3.12/site-packages/vosk').resolve())
+    venv_lib = Path('./.venv/lib')
+    python_dirs = list(venv_lib.glob('python*'))
+    if python_dirs:
+        vosk_path = str((python_dirs[0] / 'site-packages' / 'vosk').resolve())
+    else:
+        vosk_path = str(Path('./.venv/lib/python3.12/site-packages/vosk').resolve())

 a = Analysis(
    ['main.py'],
    pathex=[],
+    # binaries=[('portaudio/lib/.libs/libportaudio.2.dylib', '.')],
    binaries=[],
    datas=[(vosk_path, 'vosk')],
    hiddenimports=[],
@@ -27,21 +33,27 @@ pyz = PYZ(a.pure)
 exe = EXE(
    pyz,
    a.scripts,
-    a.binaries,
-    a.datas,
    [],
+    exclude_binaries=True,
    name='main',
    debug=False,
    bootloader_ignore_signals=False,
    strip=False,
    upx=True,
-    upx_exclude=[],
-    runtime_tmpdir=None,
    console=True,
    disable_windowed_traceback=False,
    argv_emulation=False,
    target_arch=None,
    codesign_identity=None,
    entitlements_file=None,
-    onefile=True,
+)
+
+coll = COLLECT(
+    exe,
+    a.binaries,
+    a.datas,
+    strip=False,
+    upx=True,
+    upx_exclude=[],
+    name='main',
 )
--- a/engine/requirements.txt
+++ b/engine/requirements.txt
@@ -7,4 +7,6 @@ pyaudio; sys_platform == 'darwin'
 pyaudiowpatch; sys_platform == 'win32'
 googletrans
 ollama
-sherpa_onnx
+sherpa_onnx
+requests
+openai
--- a/engine/utils/init.py
+++ b/engine/utils/init.py
@@ -1,5 +1,6 @@
 from .audioprcs import merge_chunk_channels, resample_chunk_mono
 from .sysout import stdout, stdout_err, stdout_cmd, stdout_obj, stderr
+from .sysout import change_caption_display
 from .shared import shared_data
 from .server import start_server
 from .translation import ollama_translate, google_translate
--- a/engine/utils/sysout.py
+++ b/engine/utils/sysout.py
@@ -1,5 +1,10 @@
 import sys
 import json
+import sherpa_onnx
+
+display_caption = False
+caption_index = -1
+display = sherpa_onnx.Display()

 def stdout(text: str):
    stdout_cmd("print", text)
@@ -12,7 +17,42 @@ def stdout_cmd(command: str, content = ""):
    sys.stdout.write(json.dumps(msg) + "\n")
    sys.stdout.flush()

+def change_caption_display(val: bool):
+    global display_caption
+    display_caption = val
+
+def caption_display(obj):
+    global display_caption
+    global caption_index
+    global display
+
+    if caption_index >=0 and caption_index != int(obj['index']):
+        display.finalize_current_sentence()
+    caption_index = int(obj['index'])
+    full_text = f"{obj['text']}\n{obj['translation']}"
+    if obj['translation']:
+        full_text += "\n"
+    display.update_text(full_text)
+    display.display()
+
+def translation_display(obj):
+    global original_caption
+    global display
+    full_text = f"{obj['text']}\n{obj['translation']}"
+    if obj['translation']:
+        full_text += "\n"
+    display.update_text(full_text)
+    display.display()
+    display.finalize_current_sentence()
+
 def stdout_obj(obj):
+    global display_caption
+    if obj['command'] == 'caption' and display_caption:
+        caption_display(obj)
+        return
+    if obj['command'] == 'translation' and display_caption:
+        translation_display(obj)
+        return
    sys.stdout.write(json.dumps(obj) + "\n")
    sys.stdout.flush()

--- a/engine/utils/translation.py
+++ b/engine/utils/translation.py
@@ -1,5 +1,9 @@
-from ollama import chat
+from ollama import chat, Client
 from ollama import ChatResponse
+try:
+    from openai import OpenAI
+except ImportError:
+    OpenAI = None
 import asyncio
 from googletrans import Translator
 from .sysout import stdout_cmd, stdout_obj
@@ -17,15 +21,43 @@ lang_map = {
    'zh-cn': 'Chinese'
 }

-def ollama_translate(model: str, target: str, text: str, time_s: str):
-    response: ChatResponse = chat(
-        model=model,
-        messages=[
-            {"role": "system", "content": f"/no_think Translate the following content into {lang_map[target]}, and do not output any additional information."},
-            {"role": "user", "content": text}
-        ]
-    )
-    content = response.message.content or ""
+def ollama_translate(model: str, target: str, text: str, time_s: str, url: str = '', key: str = ''):
+    content = ""
+    try:
+        if url:
+            if OpenAI:
+                client = OpenAI(base_url=url, api_key=key if key else "ollama")
+                openai_response = client.chat.completions.create(
+                    model=model,
+                    messages=[
+                        {"role": "system", "content": f"/no_think Translate the following content into {lang_map[target]}, and do not output any additional information."},
+                        {"role": "user", "content": text}
+                    ]
+                )
+                content = openai_response.choices[0].message.content or ""
+            else:
+                client = Client(host=url)
+                response: ChatResponse = client.chat(
+                    model=model,
+                    messages=[
+                        {"role": "system", "content": f"/no_think Translate the following content into {lang_map[target]}, and do not output any additional information."},
+                        {"role": "user", "content": text}
+                    ]
+                )
+                content = response.message.content or ""
+        else:
+            response: ChatResponse = chat(
+                model=model,
+                messages=[
+                    {"role": "system", "content": f"/no_think Translate the following content into {lang_map[target]}, and do not output any additional information."},
+                    {"role": "user", "content": text}
+                ]
+            )
+            content = response.message.content or ""
+    except Exception as e:
+        stdout_cmd("warn", f"Translation failed: {str(e)}")
+        return
+
    if content.startswith('<think>'):
        index = content.find('</think>')
        if index != -1:
@@ -33,6 +65,7 @@ def ollama_translate(model: str, target: str, text: str, time_s: str):
    stdout_obj({
        "command": "translation",
        "time_s": time_s,
+        "text": text,
        "translation": content.strip()
    })

@@ -43,6 +76,7 @@ def google_translate(model: str, target: str, text: str, time_s: str):
        stdout_obj({
            "command": "translation",
            "time_s": time_s,
+            "text": text,
            "translation": res.text
        })
    except Exception as e:
--- a/package-lock.json
+++ b/package-lock.json
@@ -110,6 +110,7 @@
      "integrity": "sha512-IaaGWsQqfsQWVLqMn9OB92MNN7zukfVA4s7KKAI0KfrrDsZ0yhi5uV4baBuLuN7n3vsZpwP8asPPcVwApxvjBQ==",
      "dev": true,
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "@ampproject/remapping": "^2.2.0",
        "@babel/code-frame": "^7.27.1",
@@ -2274,6 +2275,7 @@
      "resolved": "https://registry.npmmirror.com/@types/node/-/node-22.15.17.tgz",
      "integrity": "sha512-wIX2aSZL5FE+MR0JlvF87BNVrtFWf6AE6rxSE9X7OwnVvoyCQjpzSRJ+M87se/4QCkCiebQAqrJ0y6fwIyi7nw==",
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "undici-types": "~6.21.0"
      }
@@ -2360,6 +2362,7 @@
      "integrity": "sha512-B2MdzyWxCE2+SqiZHAjPphft+/2x2FlO9YBx7eKE1BCb+rqBlQdhtAEhzIEdozHd55DXPmxBdpMygFJjfjjA9A==",
      "dev": true,
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "@typescript-eslint/scope-manager": "8.32.0",
        "@typescript-eslint/types": "8.32.0",
@@ -2791,6 +2794,7 @@
      "integrity": "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg==",
      "dev": true,
      "license": "MIT",
+      "peer": true,
      "bin": {
        "acorn": "bin/acorn"
      },
@@ -2851,6 +2855,7 @@
      "integrity": "sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==",
      "dev": true,
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "fast-deep-equal": "^3.1.1",
        "fast-json-stable-stringify": "^2.0.0",
@@ -3064,7 +3069,6 @@
      "integrity": "sha512-+25nxyyznAXF7Nef3y0EbBeqmGZgeN/BxHX29Rs39djAfaFalmQ89SE6CWyDCHzGL0yt/ycBtNOmGTW0FyGWNw==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "archiver-utils": "^2.1.0",
        "async": "^3.2.4",
@@ -3084,7 +3088,6 @@
      "integrity": "sha512-bEL/yUb/fNNiNTuUz979Z0Yg5L+LzLxGJz8x79lYmR54fmTIb6ob/hNQgkQnIUDWIFjZVQwl9Xs356I6BAMHfw==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "glob": "^7.1.4",
        "graceful-fs": "^4.2.0",
@@ -3107,7 +3110,6 @@
      "integrity": "sha512-8p0AUk4XODgIewSi0l8Epjs+EVnWiK7NoDIEGU0HhE7+ZyY8D1IMY7odu5lRrFXGg71L15KG8QrPmum45RTtdA==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "core-util-is": "~1.0.0",
        "inherits": "~2.0.3",
@@ -3123,8 +3125,7 @@
      "resolved": "https://registry.npmmirror.com/safe-buffer/-/safe-buffer-5.1.2.tgz",
      "integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/archiver-utils/node_modules/string_decoder": {
      "version": "1.1.1",
@@ -3132,7 +3133,6 @@
      "integrity": "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "safe-buffer": "~5.1.0"
      }
@@ -3351,6 +3351,7 @@
        }
      ],
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "caniuse-lite": "^1.0.30001716",
        "electron-to-chromium": "^1.5.149",
@@ -3848,7 +3849,6 @@
      "integrity": "sha512-D3uMHtGc/fcO1Gt1/L7i1e33VOvD4A9hfQLP+6ewd+BvG/gQ84Yh4oftEhAdjSMgBgwGL+jsppT7JYNpo6MHHg==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "buffer-crc32": "^0.2.13",
        "crc32-stream": "^4.0.2",
@@ -3994,7 +3994,6 @@
      "integrity": "sha512-ROmzCKrTnOwybPcJApAA6WBWij23HVfGVNKqqrZpuyZOHqK2CwHSvpGuyt/UNNvaIjEd8X5IFGp4Mh+Ie1IHJQ==",
      "dev": true,
      "license": "Apache-2.0",
-      "peer": true,
      "bin": {
        "crc32": "bin/crc32.njs"
      },
@@ -4008,7 +4007,6 @@
      "integrity": "sha512-NT7w2JVU7DFroFdYkeq8cywxrgjPHWkdX1wjpRQXPX5Asews3tA+Ght6lddQO5Mkumffp3X7GEqku3epj2toIw==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "crc-32": "^1.2.0",
        "readable-stream": "^3.4.0"
@@ -4248,6 +4246,7 @@
      "integrity": "sha512-NoXo6Liy2heSklTI5OIZbCgXC1RzrDQsZkeEwXhdOro3FT1VBOvbubvscdPnjVuQ4AMwwv61oaH96AbiYg9EnQ==",
      "dev": true,
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "app-builder-lib": "25.1.8",
        "builder-util": "25.1.7",
@@ -4410,6 +4409,7 @@
      "integrity": "sha512-6dLslJrQYB1qvqVPYRv1PhAA/uytC66nUeiTcq2JXiBzrmTWCHppqtGUjZhvnSRVatBCT5/SFdizdzcBiEiYUg==",
      "hasInstallScript": true,
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "@electron/get": "^2.0.0",
        "@types/node": "^22.7.7",
@@ -4454,7 +4454,6 @@
      "integrity": "sha512-2ntkJ+9+0GFP6nAISiMabKt6eqBB0kX1QqHNWFWAXgi0VULKGisM46luRFpIBiU3u/TDmhZMM8tzvo2Abn3ayg==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "app-builder-lib": "25.1.8",
        "archiver": "^5.3.1",
@@ -4468,7 +4467,6 @@
      "integrity": "sha512-oRXApq54ETRj4eMiFzGnHWGy+zo5raudjuxN0b8H7s/RU2oW0Wvsx9O0ACRN/kRq9E8Vu/ReskGB5o3ji+FzHQ==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "graceful-fs": "^4.2.0",
        "jsonfile": "^6.0.1",
@@ -4484,7 +4482,6 @@
      "integrity": "sha512-5dgndWOriYSm5cnYaJNhalLNDKOqFwyDB/rr1E9ZsGciGvKPs8R2xYGCacuf3z6K1YKDz182fd+fY3cn3pMqXQ==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "universalify": "^2.0.0"
      },
@@ -4498,7 +4495,6 @@
      "integrity": "sha512-gptHNQghINnc/vTGIk0SOFGFNXw7JVrlRUtConJRlvaw6DuX0wO5Jeko9sWrMBhh+PsYAZ7oXAiOnf/UKogyiw==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "engines": {
        "node": ">= 10.0.0"
      }
@@ -4813,6 +4809,7 @@
      "integrity": "sha512-LSehfdpgMeWcTZkWZVIJl+tkZ2nuSkyyB9C27MZqFWXuph7DvaowgcTvKqxvpLW1JZIk8PN7hFY3Rj9LQ7m7lg==",
      "dev": true,
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "@eslint-community/eslint-utils": "^4.2.0",
        "@eslint-community/regexpp": "^4.12.1",
@@ -4874,6 +4871,7 @@
      "integrity": "sha512-zc1UmCpNltmVY34vuLRV61r1K27sWuX39E+uyUnY8xS2Bex88VV9cugG+UZbRSRGtGyFboj+D8JODyme1plMpw==",
      "dev": true,
      "license": "MIT",
+      "peer": true,
      "bin": {
        "eslint-config-prettier": "bin/cli.js"
      },
@@ -5351,8 +5349,7 @@
      "resolved": "https://registry.npmmirror.com/fs-constants/-/fs-constants-1.0.0.tgz",
      "integrity": "sha512-y6OAwoSIf7FyjMIv94u+b5rdheZEjzR63GTyZJm5qh4Bi+2YgwLCcI/fPFZkL5PSixOt6ZNKm+w+Hfp/Bciwow==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/fs-extra": {
      "version": "8.1.0",
@@ -6108,8 +6105,7 @@
      "resolved": "https://registry.npmmirror.com/isarray/-/isarray-1.0.0.tgz",
      "integrity": "sha512-VLghIWNM6ELQzo7zwmcg0NmTVyWKYjvIeM83yjp0wRDTmUnrM678fQbcKBo6n2CJEF0szoG//ytg+TKla89ALQ==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/isbinaryfile": {
      "version": "5.0.4",
@@ -6300,7 +6296,6 @@
      "integrity": "sha512-b94GiNHQNy6JNTrt5w6zNyffMrNkXZb3KTkCZJb2V1xaEGCk093vkZ2jk3tpaeP33/OiXC+WvK9AxUebnf5nbw==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "readable-stream": "^2.0.5"
      },
@@ -6314,7 +6309,6 @@
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      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "core-util-is": "~1.0.0",
        "inherits": "~2.0.3",
@@ -6330,8 +6324,7 @@
      "resolved": "https://registry.npmmirror.com/safe-buffer/-/safe-buffer-5.1.2.tgz",
      "integrity": "sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/lazystream/node_modules/string_decoder": {
      "version": "1.1.1",
@@ -6339,7 +6332,6 @@
      "integrity": "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "safe-buffer": "~5.1.0"
      }
@@ -6391,32 +6383,28 @@
      "resolved": "https://registry.npmmirror.com/lodash.defaults/-/lodash.defaults-4.2.0.tgz",
      "integrity": "sha512-qjxPLHd3r5DnsdGacqOMU6pb/avJzdh9tFX2ymgoZE27BmjXrNy/y4LoaiTeAb+O3gL8AfpJGtqfX/ae2leYYQ==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/lodash.difference": {
      "version": "4.5.0",
      "resolved": "https://registry.npmmirror.com/lodash.difference/-/lodash.difference-4.5.0.tgz",
      "integrity": "sha512-dS2j+W26TQ7taQBGN8Lbbq04ssV3emRw4NY58WErlTO29pIqS0HmoT5aJ9+TUQ1N3G+JOZSji4eugsWwGp9yPA==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/lodash.flatten": {
      "version": "4.4.0",
      "resolved": "https://registry.npmmirror.com/lodash.flatten/-/lodash.flatten-4.4.0.tgz",
      "integrity": "sha512-C5N2Z3DgnnKr0LOpv/hKCgKdb7ZZwafIrsesve6lmzvZIRZRGaZ/l6Q8+2W7NaT+ZwO3fFlSCzCzrDCFdJfZ4g==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/lodash.isplainobject": {
      "version": "4.0.6",
      "resolved": "https://registry.npmmirror.com/lodash.isplainobject/-/lodash.isplainobject-4.0.6.tgz",
      "integrity": "sha512-oSXzaWypCMHkPC3NvBEaPHf0KsA5mvPrOPgQWDsbg8n7orZ290M0BmC/jgRZ4vcJ6DTAhjrsSYgdsW/F+MFOBA==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/lodash.merge": {
      "version": "4.6.2",
@@ -6430,8 +6418,7 @@
      "resolved": "https://registry.npmmirror.com/lodash.union/-/lodash.union-4.6.0.tgz",
      "integrity": "sha512-c4pB2CdGrGdjMKYLA+XiRDO7Y0PRQbm/Gzg8qMj+QH+pFVAoTp5sBpO0odL3FjoPCGjK96p6qsP+yQoiLoOBcw==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/log-symbols": {
      "version": "4.1.0",
@@ -6984,7 +6971,6 @@
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      "dev": true,
      "license": "MIT",
-      "peer": true,
      "engines": {
        "node": ">=0.10.0"
      }
@@ -7408,6 +7394,7 @@
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      "dev": true,
      "license": "MIT",
+      "peer": true,
      "bin": {
        "prettier": "bin/prettier.cjs"
      },
@@ -7436,8 +7423,7 @@
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      "integrity": "sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag==",
      "dev": true,
-      "license": "MIT",
-      "peer": true
+      "license": "MIT"
    },
    "node_modules/progress": {
      "version": "2.0.3",
@@ -7556,7 +7542,6 @@
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      "dev": true,
      "license": "Apache-2.0",
-      "peer": true,
      "dependencies": {
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@@ -7567,7 +7552,6 @@
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      "dev": true,
      "license": "ISC",
-      "peer": true,
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@@ -8235,7 +8219,6 @@
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      "dev": true,
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-      "peer": true,
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@@ -8360,6 +8343,7 @@
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      "dev": true,
      "license": "MIT",
+      "peer": true,
      "engines": {
        "node": ">=12"
      },
@@ -8462,6 +8446,7 @@
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      "devOptional": true,
      "license": "Apache-2.0",
+      "peer": true,
      "bin": {
        "tsc": "bin/tsc",
        "tsserver": "bin/tsserver"
@@ -8611,6 +8596,7 @@
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      "dev": true,
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "esbuild": "^0.25.0",
        "fdir": "^6.4.4",
@@ -8701,6 +8687,7 @@
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      "dev": true,
      "license": "MIT",
+      "peer": true,
      "engines": {
        "node": ">=12"
      },
@@ -8720,6 +8707,7 @@
      "resolved": "https://registry.npmmirror.com/vue/-/vue-3.5.13.tgz",
      "integrity": "sha512-wmeiSMxkZCSc+PM2w2VRsOYAZC8GdipNFRTsLSfodVqI9mbejKeXEGr8SckuLnrQPGe3oJN5c3K0vpoU9q/wCQ==",
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "@vue/compiler-dom": "3.5.13",
        "@vue/compiler-sfc": "3.5.13",
@@ -8742,6 +8730,7 @@
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      "dev": true,
      "license": "MIT",
+      "peer": true,
      "dependencies": {
        "debug": "^4.4.0",
        "eslint-scope": "^8.2.0",
@@ -9046,7 +9035,6 @@
      "integrity": "sha512-9qv4rlDiopXg4E69k+vMHjNN63YFMe9sZMrdlvKnCjlCRWeCBswPPMPUfx+ipsAWq1LXHe70RcbaHdJJpS6hyQ==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "archiver-utils": "^3.0.4",
        "compress-commons": "^4.1.2",
@@ -9062,7 +9050,6 @@
      "integrity": "sha512-KVgf4XQVrTjhyWmx6cte4RxonPLR9onExufI1jhvw/MQ4BB6IsZD5gT8Lq+u/+pRkWna/6JoHpiQioaqFP5Rzw==",
      "dev": true,
      "license": "MIT",
-      "peer": true,
      "dependencies": {
        "glob": "^7.2.3",
        "graceful-fs": "^4.2.0",
--- a/package.json
+++ b/package.json
@@ -1,7 +1,7 @@
 {
  "name": "auto-caption",
  "productName": "Auto Caption",
-  "version": "1.0.0",
+  "version": "1.1.0",
  "description": "A cross-platform subtitle display software.",
  "main": "./out/main/index.js",
  "author": "himeditator",
--- a/src/main/types/index.ts
+++ b/src/main/types/index.ts
@@ -8,6 +8,8 @@ export interface Controls {
  targetLang: string,
  transModel: string,
  ollamaName: string,
+  ollamaUrl: string,
+  ollamaApiKey: string,
  engine: string,
  audio: 0 | 1,
  translation: boolean,
@@ -15,6 +17,9 @@ export interface Controls {
  API_KEY: string,
  voskModelPath: string,
  sosvModelPath: string,
+  glmUrl: string,
+  glmModel: string,
+  glmApiKey: string,
  recordingPath: string,
  customized: boolean,
  customizedApp: string,
--- a/src/main/utils/AllConfig.ts
+++ b/src/main/utils/AllConfig.ts
@@ -4,9 +4,10 @@ import {
 } from '../types'
 import { Log } from './Log'
 import { app, BrowserWindow } from 'electron'
+import { passwordMaskingForObject } from './UtilsFunc'
 import * as path from 'path'
 import * as fs from 'fs'
-import os from 'os'
+import * as os from 'os'

 interface CaptionTranslation {
  time_s: string,
@@ -44,13 +45,18 @@ const defaultControls: Controls = {
  sourceLang: 'en',
  targetLang: 'zh',
  transModel: 'ollama',
-  ollamaName: '',
+  ollamaName: 'qwen2.5:0.5b',
+  ollamaUrl: 'http://localhost:11434',
+  ollamaApiKey: '',
  engine: 'gummy',
  audio: 0,
  engineEnabled: false,
  API_KEY: '',
  voskModelPath: '',
  sosvModelPath: '',
+  glmUrl: 'https://open.bigmodel.cn/api/paas/v4/audio/transcriptions',
+  glmModel: 'glm-asr-2512',
+  glmApiKey: '',
  recordingPath: getDesktopPath(),
  translation: true,
  recording: false,
@@ -146,9 +152,7 @@ class AllConfig {
      }
    }
    this.controls.engineEnabled = engineEnabled
-    let _controls = {...this.controls}
-    _controls.API_KEY = _controls.API_KEY.replace(/./g, '*')
-    Log.info('Set Controls:', _controls)
+    Log.info('Set Controls:', passwordMaskingForObject(this.controls))
  }

  public sendControls(window: BrowserWindow, info = true) {
--- a/src/main/utils/CaptionEngine.ts
+++ b/src/main/utils/CaptionEngine.ts
@@ -1,12 +1,13 @@
 import { exec, spawn } from 'child_process'
 import { app } from 'electron'
 import { is } from '@electron-toolkit/utils'
-import path from 'path'
-import net from 'net'
+import * as path from 'path'
+import * as net from 'net'
 import { controlWindow } from '../ControlWindow'
 import { allConfig } from './AllConfig'
 import { i18n } from '../i18n'
 import { Log } from './Log'
+import { passwordMaskingForList } from './UtilsFunc'

 export class CaptionEngine {
  appPath: string = ''
@@ -60,7 +61,7 @@ export class CaptionEngine {
          this.appPath = path.join(process.resourcesPath, 'engine', 'main.exe')
        }
        else {
-          this.appPath = path.join(process.resourcesPath, 'engine', 'main')
+          this.appPath = path.join(process.resourcesPath, 'engine', 'main', 'main')
        }
      }
      this.command.push('-a', allConfig.controls.audio ? '1' : '0')
@@ -87,6 +88,8 @@ export class CaptionEngine {
        this.command.push('-vosk', `"${allConfig.controls.voskModelPath}"`)
        this.command.push('-tm', allConfig.controls.transModel)
        this.command.push('-omn', allConfig.controls.ollamaName)
+        if(allConfig.controls.ollamaUrl) this.command.push('-ourl', allConfig.controls.ollamaUrl)
+        if(allConfig.controls.ollamaApiKey) this.command.push('-okey', allConfig.controls.ollamaApiKey)
      }
      else if(allConfig.controls.engine === 'sosv'){
        this.command.push('-e', 'sosv')
@@ -94,15 +97,25 @@ export class CaptionEngine {
        this.command.push('-sosv', `"${allConfig.controls.sosvModelPath}"`)
        this.command.push('-tm', allConfig.controls.transModel)
        this.command.push('-omn', allConfig.controls.ollamaName)
+        if(allConfig.controls.ollamaUrl) this.command.push('-ourl', allConfig.controls.ollamaUrl)
+        if(allConfig.controls.ollamaApiKey) this.command.push('-okey', allConfig.controls.ollamaApiKey)
+      }
+      else if(allConfig.controls.engine === 'glm'){
+        this.command.push('-e', 'glm')
+        this.command.push('-s', allConfig.controls.sourceLang)
+        this.command.push('-gurl', allConfig.controls.glmUrl)
+        this.command.push('-gmodel', allConfig.controls.glmModel)
+        if(allConfig.controls.glmApiKey) {
+          this.command.push('-gkey', allConfig.controls.glmApiKey)
+        }
+        this.command.push('-tm', allConfig.controls.transModel)
+        this.command.push('-omn', allConfig.controls.ollamaName)
+        if(allConfig.controls.ollamaUrl) this.command.push('-ourl', allConfig.controls.ollamaUrl)
+        if(allConfig.controls.ollamaApiKey) this.command.push('-okey', allConfig.controls.ollamaApiKey)
      }
    }
    Log.info('Engine Path:', this.appPath)
-    if(this.command.length > 2 && this.command.at(-2) === '-k') {
-      const _command = [...this.command]
-      _command[_command.length -1] = _command[_command.length -1].replace(/./g, '*')
-      Log.info('Engine Command:', _command)
-    }
-    else Log.info('Engine Command:', this.command)
+    Log.info('Engine Command:', passwordMaskingForList(this.command))
    return true
  }

@@ -165,7 +178,7 @@ export class CaptionEngine {
            const data_obj = JSON.parse(line)
            handleEngineData(data_obj)
          } catch (e) {
-            controlWindow.sendErrorMessage(i18n('engine.output.parse.error') + e)
+            // controlWindow.sendErrorMessage(i18n('engine.output.parse.error') + e)
            Log.error('Error parsing JSON:', e)
          }
        }
--- a/src/main/utils/UtilsFunc.ts
+++ b/src/main/utils/UtilsFunc.ts
@@ -0,0 +1,24 @@
+function passwordMasking(pwd: string) {
+  return pwd.replace(/./g, '*')
+}
+
+export function passwordMaskingForList(args: string[]) {
+  const maskedArgs = [...args]
+  for(let i = 1; i < maskedArgs.length; i++) {
+    if(maskedArgs[i-1] === '-k' || maskedArgs[i-1] === '-okey' || maskedArgs[i-1] === '-gkey') {
+      maskedArgs[i] = passwordMasking(maskedArgs[i])
+    }
+  }
+  return maskedArgs
+}
+
+export function passwordMaskingForObject(args: Record<string, any>) {
+  const maskedArgs = {...args}
+  for(const key in maskedArgs) {
+    const lKey = key.toLowerCase()
+    if(lKey.includes('api') && lKey.includes('key')) {
+      maskedArgs[key] = passwordMasking(maskedArgs[key])
+    }
+  }
+  return maskedArgs
+}
--- a/src/renderer/index.html
+++ b/src/renderer/index.html
@@ -2,7 +2,7 @@
 <html>
  <head>
    <meta charset="UTF-8" />
-    <title>Auto Caption v1.0.0</title>
+    <title>Auto Caption v1.1.0</title>
    <!-- https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP -->
    <meta
      http-equiv="Content-Security-Policy"
--- a/src/renderer/src/components/CaptionLog.vue
+++ b/src/renderer/src/components/CaptionLog.vue
@@ -304,6 +304,7 @@ function clearCaptions() {
 }

 .caption-title {
+  color: var(--icon-color);
  display: inline-block;
  font-size: 24px;
  font-weight: bold;
--- a/src/renderer/src/components/EngineControl.vue
+++ b/src/renderer/src/components/EngineControl.vue
@@ -41,17 +41,63 @@
    <div class="input-item" v-if="transModel && currentTransModel === 'ollama'">
      <a-popover placement="right">
        <template #content>
-          <p class="label-hover-info">{{ $t('engine.ollamaNote') }}</p>
+          <p class="label-hover-info">{{ $t('engine.modelNameNote') }}</p>
        </template>
        <span class="input-label info-label"
          :style="{color: uiColor}"
-        >{{ $t('engine.ollama') }}</span>
+        >{{ $t('engine.modelName') }}</span>
      </a-popover>
      <a-input
        class="input-area"
        v-model:value="currentOllamaName"
      ></a-input>
    </div>
+    <div class="input-item" v-if="transModel && currentTransModel === 'ollama'">
+      <a-popover placement="right">
+        <template #content>
+          <p class="label-hover-info">{{ $t('engine.baseURL') }}</p>
+        </template>
+        <span class="input-label info-label"
+          :style="{color: uiColor}"
+        >Base URL</span>
+      </a-popover>
+      <a-input
+        class="input-area"
+        v-model:value="currentOllamaUrl"
+        placeholder="http://localhost:11434"
+      ></a-input>
+    </div>
+    <div class="input-item" v-if="transModel && currentTransModel === 'ollama'">
+      <a-popover placement="right">
+        <template #content>
+          <p class="label-hover-info">{{ $t('engine.apiKey') }}</p>
+        </template>
+        <span class="input-label info-label"
+          :style="{color: uiColor}"
+        >API Key</span>
+      </a-popover>
+      <a-input
+          class="input-area"
+          type="password"
+          v-model:value="currentOllamaApiKey"
+      />
+    </div>
+    <div class="input-item" v-if="currentEngine === 'glm'">
+      <span class="input-label">GLM API URL</span>
+      <a-input
+        class="input-area"
+        v-model:value="currentGlmUrl"
+        placeholder="https://open.bigmodel.cn/api/paas/v4/audio/transcriptions"
+      ></a-input>
+    </div>
+    <div class="input-item" v-if="currentEngine === 'glm'">
+      <span class="input-label">GLM Model Name</span>
+      <a-input
+        class="input-area"
+        v-model:value="currentGlmModel"
+        placeholder="glm-asr-2512"
+      ></a-input>
+    </div>
    <div class="input-item">
      <span class="input-label">{{ $t('engine.audioType') }}</span>
      <a-select
@@ -115,7 +161,7 @@
          </template>
          <span class="input-label info-label"
            :style="{color: uiColor}"
-          >{{ $t('engine.apikey') }}</span>
+          >ALI {{ $t('engine.apikey') }}</span>
        </a-popover>
        <a-input
          class="input-area"
@@ -123,6 +169,24 @@
          v-model:value="currentAPI_KEY"
        />
      </div>
+      <div class="input-item">
+        <a-popover placement="right">
+          <template #content>
+            <p class="label-hover-info">{{ $t('engine.glmApikeyInfo') }}</p>
+            <p><a href="https://open.bigmodel.cn/" target="_blank">
+              https://open.bigmodel.cn
+            </a></p>
+          </template>
+          <span class="input-label info-label"
+            :style="{color: uiColor}"
+          >GLM {{ $t('engine.apikey') }}</span>
+        </a-popover>
+        <a-input
+          class="input-area"
+          type="password"
+          v-model:value="currentGlmApiKey"
+        />
+      </div>
      <div class="input-item">
        <a-popover placement="right">
          <template #content>
@@ -239,9 +303,14 @@ const currentTranslation = ref<boolean>(true)
 const currentRecording = ref<boolean>(false)
 const currentTransModel = ref('ollama')
 const currentOllamaName = ref('')
+const currentOllamaUrl = ref('')
+const currentOllamaApiKey = ref('')
 const currentAPI_KEY = ref<string>('')
 const currentVoskModelPath = ref<string>('')
 const currentSosvModelPath = ref<string>('')
+const currentGlmUrl = ref<string>('')
+const currentGlmModel = ref<string>('')
+const currentGlmApiKey = ref<string>('')
 const currentRecordingPath = ref<string>('')
 const currentCustomized = ref<boolean>(false)
 const currentCustomizedApp = ref('')
@@ -294,12 +363,17 @@ function applyChange(){
  engineControl.transModel = currentTransModel.value
  engineControl.ollamaName = currentOllamaName.value
  engineControl.engine = currentEngine.value
+  engineControl.ollamaUrl = currentOllamaUrl.value ?? "http://localhost:11434"
+  engineControl.ollamaApiKey = currentOllamaApiKey.value
  engineControl.audio = currentAudio.value
  engineControl.translation = currentTranslation.value
  engineControl.recording = currentRecording.value
  engineControl.API_KEY = currentAPI_KEY.value
  engineControl.voskModelPath = currentVoskModelPath.value
  engineControl.sosvModelPath = currentSosvModelPath.value
+  engineControl.glmUrl = currentGlmUrl.value ?? "https://open.bigmodel.cn/api/paas/v4/audio/transcriptions"
+  engineControl.glmModel = currentGlmModel.value ?? "glm-asr-2512"
+  engineControl.glmApiKey = currentGlmApiKey.value
  engineControl.recordingPath = currentRecordingPath.value
  engineControl.customized = currentCustomized.value
  engineControl.customizedApp = currentCustomizedApp.value
@@ -320,6 +394,8 @@ function cancelChange(){
  currentTargetLang.value = engineControl.targetLang
  currentTransModel.value = engineControl.transModel
  currentOllamaName.value = engineControl.ollamaName
+  currentOllamaUrl.value = engineControl.ollamaUrl
+  currentOllamaApiKey.value = engineControl.ollamaApiKey
  currentEngine.value = engineControl.engine
  currentAudio.value = engineControl.audio
  currentTranslation.value = engineControl.translation
@@ -327,6 +403,9 @@ function cancelChange(){
  currentAPI_KEY.value = engineControl.API_KEY
  currentVoskModelPath.value = engineControl.voskModelPath
  currentSosvModelPath.value = engineControl.sosvModelPath
+  currentGlmUrl.value = engineControl.glmUrl
+  currentGlmModel.value = engineControl.glmModel
+  currentGlmApiKey.value = engineControl.glmApiKey
  currentRecordingPath.value = engineControl.recordingPath
  currentCustomized.value = engineControl.customized
  currentCustomizedApp.value = engineControl.customizedApp
--- a/src/renderer/src/components/EngineStatus.vue
+++ b/src/renderer/src/components/EngineStatus.vue
@@ -101,7 +101,7 @@
      <p class="about-desc">{{ $t('status.about.desc') }}</p>
      <a-divider />
      <div class="about-info">
-        <p><b>{{ $t('status.about.version') }}</b><a-tag color="green">v1.0.0</a-tag></p>
+        <p><b>{{ $t('status.about.version') }}</b><a-tag color="green">v1.1.0</a-tag></p>
        <p>
          <b>{{ $t('status.about.author') }}</b>
          <a
--- a/src/renderer/src/components/SoftwareLog.vue
+++ b/src/renderer/src/components/SoftwareLog.vue
@@ -96,6 +96,7 @@ const columns = [

 <style scoped>
 .log-title {
+  color: var(--icon-color);
  display: inline-block;
  font-size: 24px;
  font-weight: bold;
--- a/src/renderer/src/i18n/config/engine.ts
+++ b/src/renderer/src/i18n/config/engine.ts
@@ -34,7 +34,7 @@ export const engines = {
        { value: 'it', type: 1, label: '意大利语' },
      ],
      transModel: [
-        { value: 'ollama', label: 'Ollama 本地模型' },
+        { value: 'ollama', label: 'Ollama 模型或 OpenAI 兼容模型' },
        { value: 'google', label: 'Google API 调用' },
      ]
    },
@@ -55,7 +55,22 @@ export const engines = {
        { value: 'it', type: 1, label: '意大利语' },
      ],
      transModel: [
-        { value: 'ollama', label: 'Ollama 本地模型' },
+        { value: 'ollama', label: 'Ollama 模型或 OpenAI 兼容模型' },
+        { value: 'google', label: 'Google API 调用' },
+      ]
+    },
+    {
+      value: 'glm',
+      label: '云端 / 智谱AI / GLM-ASR',
+      languages: [
+        { value: 'auto', type: -1, label: '自动检测' },
+        { value: 'en', type: 0, label: '英语' },
+        { value: 'zh', type: 0, label: '中文' },
+        { value: 'ja', type: 0, label: '日语' },
+        { value: 'ko', type: 0, label: '韩语' },
+      ],
+      transModel: [
+        { value: 'ollama', label: 'Ollama 模型或 OpenAI 兼容模型' },
        { value: 'google', label: 'Google API 调用' },
      ]
    }
@@ -94,7 +109,7 @@ export const engines = {
        { value: 'it', type: 1, label: 'Italian' },
      ],
      transModel: [
-        { value: 'ollama', label: 'Ollama Local Model' },
+        { value: 'ollama', label: 'Ollama Model or OpenAI-compatible Model' },
        { value: 'google', label: 'Google API Call' },
      ]
    },
@@ -115,7 +130,22 @@ export const engines = {
        { value: 'it', type: 1, label: 'Italian' },
      ],
      transModel: [
-        { value: 'ollama', label: 'Ollama Local Model' },
+        { value: 'ollama', label: 'Ollama Model or OpenAI-compatible Model' },
+        { value: 'google', label: 'Google API Call' },
+      ]
+    },
+    {
+      value: 'glm',
+      label: 'Cloud / Zhipu AI / GLM-ASR',
+      languages: [
+        { value: 'auto', type: -1, label: 'Auto Detect' },
+        { value: 'en', type: 0, label: 'English' },
+        { value: 'zh', type: 0, label: 'Chinese' },
+        { value: 'ja', type: 0, label: 'Japanese' },
+        { value: 'ko', type: 0, label: 'Korean' },
+      ],
+      transModel: [
+        { value: 'ollama', label: 'Ollama Model or OpenAI-compatible Model' },
        { value: 'google', label: 'Google API Call' },
      ]
    }
@@ -154,7 +184,7 @@ export const engines = {
        { value: 'it', type: 1, label: 'イタリア語' },
      ],
      transModel: [
-        { value: 'ollama', label: 'Ollama ローカルモデル' },
+        { value: 'ollama', label: 'Ollama モデルまたは OpenAI 互換モデル' },
        { value: 'google', label: 'Google API 呼び出し' },
      ]
    },
@@ -175,7 +205,22 @@ export const engines = {
        { value: 'it', type: 1, label: 'イタリア語' },
      ],
      transModel: [
-        { value: 'ollama', label: 'Ollama ローカルモデル' },
+        { value: 'ollama', label: 'Ollama モデルまたは OpenAI 互換モデル' },
+        { value: 'google', label: 'Google API 呼び出し' },
+      ]
+    },
+    {
+      value: 'glm',
+      label: 'クラウド / 智譜AI / GLM-ASR',
+      languages: [
+        { value: 'auto', type: -1, label: '自動検出' },
+        { value: 'en', type: 0, label: '英語' },
+        { value: 'zh', type: 0, label: '中国語' },
+        { value: 'ja', type: 0, label: '日本語' },
+        { value: 'ko', type: 0, label: '韓国語' },
+      ],
+      transModel: [
+        { value: 'ollama', label: 'Ollama モデルまたは OpenAI 互換モデル' },
        { value: 'google', label: 'Google API 呼び出し' },
      ]
    }
--- a/src/renderer/src/i18n/lang/en.ts
+++ b/src/renderer/src/i18n/lang/en.ts
@@ -22,7 +22,7 @@ export default {
    "stopped": "Caption Engine Stopped",
    "stoppedInfo": "The caption engine has stopped. You can click the 'Start Caption Engine' button to restart it.",
    "error": "An error occurred",
-    "engineError": "The subtitle engine encountered an error and requested a forced exit.",
+    "engineError": "The caption engine encountered an error and requested a forced exit.",
    "socketError": "The Socket connection between the main program and the caption engine failed",
    "engineChange": "Cpation Engine Configuration Changed",
    "changeInfo": "If the caption engine is already running, you need to restart it for the changes to take effect.",
@@ -50,8 +50,10 @@ export default {
    "sourceLang": "Source",
    "transLang": "Translation",
    "transModel": "Model",
-    "ollama": "Ollama",
-    "ollamaNote": "To use for translation, the name of the local Ollama model that will call the service on the default port. It is recommended to use a non-inference model with less than 1B parameters.",
+    "modelName": "Model Name",
+    "modelNameNote": "Please enter the translation model name you wish to use, which can be either a local Ollama model or an OpenAI API compatible cloud model. If the Base URL field is left blank, the local Ollama service will be called by default; otherwise, the API service at the specified address will be called via the Python OpenAI library.",
+    "baseURL": "The base request URL for calling OpenAI API. If left empty, the local default port Ollama model will be used.",
+    "apiKey": "The API KEY required for the model corresponding to OpenAI API.",
    "captionEngine": "Engine",
    "audioType": "Audio Type",
    "systemOutput": "System Audio Output (Speaker)",
@@ -65,9 +67,10 @@ export default {
    "recordingPath": "Save Path",
    "startTimeout": "Timeout",
    "seconds": "seconds",
-    "apikeyInfo": "API KEY required for the Gummy subtitle engine, which needs to be obtained from the Alibaba Cloud Bailing platform. For more details, see the project user manual.",
-    "voskModelPathInfo": "The folder path of the model required by the Vosk subtitle engine. You need to download the required model to your local machine in advance. For more details, see the project user manual.",
-    "sosvModelPathInfo": "The folder path of the model required by the SOSV subtitle engine. You need to download the required model to your local machine in advance. For more details, see the project user manual.",
+    "apikeyInfo": "API KEY required for the Gummy caption engine, which needs to be obtained from the Alibaba Cloud Bailing platform. For more details, see the project user manual.",
+    "glmApikeyInfo": "API KEY required for GLM caption engine, which needs to be obtained from the Zhipu AI platform.",
+    "voskModelPathInfo": "The folder path of the model required by the Vosk caption engine. You need to download the required model to your local machine in advance. For more details, see the project user manual.",
+    "sosvModelPathInfo": "The folder path of the model required by the SOSV caption engine. You need to download the required model to your local machine in advance. For more details, see the project user manual.",
    "recordingPathInfo": "The path to save recording files, requiring a folder path. The software will automatically name the recording file and save it as .wav file.",
    "modelDownload": "Model Download Link",
    "startTimeoutInfo": "Caption engine startup timeout duration. Engine will be forcefully stopped if startup exceeds this time. Recommended range: 10-120 seconds.",
@@ -143,7 +146,7 @@ export default {
      "projLink": "Project Link",
      "manual": "User Manual",
      "engineDoc": "Caption Engine Manual",
-      "date": "September 8th, 2025"
+      "date": "January 10th, 2026"
    }
  },
  log: {
--- a/src/renderer/src/i18n/lang/ja.ts
+++ b/src/renderer/src/i18n/lang/ja.ts
@@ -50,8 +50,10 @@ export default {
    "sourceLang": "ソース言語",
    "transLang": "翻訳言語",
    "transModel": "翻訳モデル",
-    "ollama": "Ollama",
-    "ollamaNote": "翻訳に使用する、デフォルトポートでサービスを呼び出すローカルOllamaモデルの名前。1B 未満のパラメータを持つ非推論モデルの使用を推奨します。",
+    "modelName": "モデル名",
+    "modelNameNote": "使用する翻訳モデル名を入力してください。Ollama のローカルモデルでも OpenAI API 互換のクラウドモデルでも可能です。Base URL フィールドが未入力の場合、デフォルトでローカルの Ollama サービスが呼び出され、それ以外の場合は Python OpenAI ライブラリ経由で指定されたアドレスの API サービスが呼び出されます。",
+    "baseURL": "OpenAI API を呼び出すための基本リクエスト URL です。未記入の場合、ローカルのデフォルトポートの Ollama モデルが呼び出されます。",
+    "apiKey": "OpenAI API に対応するモデルを使用するために必要な API キーです。",
    "captionEngine": "エンジン",
    "audioType": "オーディオ",
    "systemOutput": "システムオーディオ出力（スピーカー）",
@@ -66,6 +68,7 @@ export default {
    "startTimeout": "時間制限",
    "seconds": "秒",
    "apikeyInfo": "Gummy 字幕エンジンに必要な API KEY は、アリババクラウド百煉プラットフォームから取得する必要があります。詳細情報はプロジェクトのユーザーマニュアルをご覧ください。",
+    "glmApikeyInfo": "GLM 字幕エンジンに必要な API KEY で、智譜 AI プラットフォームから取得する必要があります。",
    "voskModelPathInfo": "Vosk 字幕エンジンに必要なモデルのフォルダパスです。必要なモデルを事前にローカルマシンにダウンロードする必要があります。詳細情報はプロジェクトのユーザーマニュアルをご覧ください。",
    "sosvModelPathInfo": "SOSV 字幕エンジンに必要なモデルのフォルダパスです。必要なモデルを事前にローカルマシンにダウンロードする必要があります。詳細情報はプロジェクトのユーザーマニュアルをご覧ください。",
    "recordingPathInfo": "録音ファイルの保存パスで、フォルダパスを指定する必要があります。ソフトウェアが自動的に録音ファイルに名前を付けて .wav ファイルとして保存します。",
@@ -142,7 +145,7 @@ export default {
      "projLink": "プロジェクトリンク",
      "manual": "ユーザーマニュアル",
      "engineDoc": "字幕エンジンマニュアル",
-      "date": "2025 年 9 月 8 日"
+      "date": "2026 年 1 月 10 日"
    }
  },
  log: {
--- a/src/renderer/src/i18n/lang/zh.ts
+++ b/src/renderer/src/i18n/lang/zh.ts
@@ -50,8 +50,10 @@ export default {
    "sourceLang": "源语言",
    "transLang": "翻译语言",
    "transModel": "翻译模型",
-    "ollama": "Ollama",
-    "ollamaNote": "要使用的进行翻译的本地 Ollama 模型的名称，将调用默认端口的服务，建议使用参数量小于 1B 的非推理模型。",
+    "modelName": "模型名称",
+    "modelNameNote": "请输入要使用的翻译模型名称，可以是 Ollama 本地模型，也可以是 OpenAI API 兼容的云端模型。若未填写 Base URL 字段，则默认调用本地 Ollama 服务，否则会通过 Python OpenAI 库调用该地址指向的 API 服务。",
+    "baseURL": "调用 OpenAI API 的基础请求地址，如果不填写则调用本地默认端口的 Ollama 模型。",
+    "apiKey": "调用 OpenAI API 对应的模型需要使用的 API KEY。",
    "captionEngine": "字幕引擎",
    "audioType": "音频类型",
    "systemOutput": "系统音频输出（扬声器）",
@@ -66,6 +68,7 @@ export default {
    "startTimeout": "启动超时",
    "seconds": "秒",
    "apikeyInfo": "Gummy 字幕引擎需要的 API KEY，需要在阿里云百炼平台获取。详细信息见项目用户手册。",
+    "glmApikeyInfo": "GLM 字幕引擎需要的 API KEY，需要在智谱 AI 平台获取。",
    "voskModelPathInfo": "Vosk 字幕引擎需要的模型的文件夹路径，需要提前下载需要的模型到本地。信息详情见项目用户手册。",
    "sosvModelPathInfo": "SOSV 字幕引擎需要的模型的文件夹路径，需要提前下载需要的模型到本地。信息详情见项目用户手册。",
    "recordingPathInfo": "录音文件保存路径，需要提供文件夹路径。软件会自动命名录音文件并保存为 .wav 文件。",
@@ -142,7 +145,7 @@ export default {
      "projLink": "项目链接",
      "manual": "用户手册",
      "engineDoc": "字幕引擎手册",
-      "date": "2025 年 9 月 8 日"
+      "date": "2026 年 1 月 10 日"
    }
  },
  log: {
--- a/src/renderer/src/stores/engineControl.ts
+++ b/src/renderer/src/stores/engineControl.ts
@@ -21,6 +21,8 @@ export const useEngineControlStore = defineStore('engineControl', () => {
  const targetLang = ref<string>('zh')
  const transModel = ref<string>('ollama')
  const ollamaName = ref<string>('')
+  const ollamaUrl = ref<string>('')
+  const ollamaApiKey = ref<string>('')
  const engine = ref<string>('gummy')
  const audio = ref<0 | 1>(0)
  const translation = ref<boolean>(true)
@@ -28,6 +30,9 @@ export const useEngineControlStore = defineStore('engineControl', () => {
  const API_KEY = ref<string>('')
  const voskModelPath = ref<string>('')
  const sosvModelPath = ref<string>('')
+  const glmUrl = ref<string>('https://open.bigmodel.cn/api/paas/v4/audio/transcriptions')
+  const glmModel = ref<string>('glm-asr-2512')
+  const glmApiKey = ref<string>('')
  const recordingPath = ref<string>('')
  const customized = ref<boolean>(false)
  const customizedApp = ref<string>('')
@@ -44,6 +49,8 @@ export const useEngineControlStore = defineStore('engineControl', () => {
      targetLang: targetLang.value,
      transModel: transModel.value,
      ollamaName: ollamaName.value,
+      ollamaUrl: ollamaUrl.value,
+      ollamaApiKey: ollamaApiKey.value,
      engine: engine.value,
      audio: audio.value,
      translation: translation.value,
@@ -51,6 +58,9 @@ export const useEngineControlStore = defineStore('engineControl', () => {
      API_KEY: API_KEY.value,
      voskModelPath: voskModelPath.value,
      sosvModelPath: sosvModelPath.value,
+      glmUrl: glmUrl.value,
+      glmModel: glmModel.value,
+      glmApiKey: glmApiKey.value,
      recordingPath: recordingPath.value,
      customized: customized.value,
      customizedApp: customizedApp.value,
@@ -80,6 +90,8 @@ export const useEngineControlStore = defineStore('engineControl', () => {
    targetLang.value = controls.targetLang
    transModel.value = controls.transModel
    ollamaName.value = controls.ollamaName
+    ollamaUrl.value = controls.ollamaUrl
+    ollamaApiKey.value = controls.ollamaApiKey
    engine.value = controls.engine
    audio.value = controls.audio
    engineEnabled.value = controls.engineEnabled
@@ -88,6 +100,9 @@ export const useEngineControlStore = defineStore('engineControl', () => {
    API_KEY.value = controls.API_KEY
    voskModelPath.value = controls.voskModelPath
    sosvModelPath.value = controls.sosvModelPath
+    glmUrl.value = controls.glmUrl || 'https://open.bigmodel.cn/api/paas/v4/audio/transcriptions'
+    glmModel.value = controls.glmModel || 'glm-asr-2512'
+    glmApiKey.value = controls.glmApiKey
    recordingPath.value = controls.recordingPath
    customized.value = controls.customized
    customizedApp.value = controls.customizedApp
@@ -150,6 +165,8 @@ export const useEngineControlStore = defineStore('engineControl', () => {
    targetLang,         // 目标语言
    transModel,         // 翻译模型
    ollamaName,         // Ollama 模型
+    ollamaUrl,
+    ollamaApiKey,
    engine,             // 字幕引擎
    audio,              // 选择音频
    translation,        // 是否启用翻译
@@ -157,6 +174,9 @@ export const useEngineControlStore = defineStore('engineControl', () => {
    API_KEY,            // API KEY
    voskModelPath,      // vosk 模型路径
    sosvModelPath,      // sosv 模型路径
+    glmUrl,             // GLM API URL
+    glmModel,           // GLM 模型名称
+    glmApiKey,          // GLM API Key
    recordingPath,      // 录音保存路径
    customized,         // 是否使用自定义字幕引擎
    customizedApp,      // 自定义字幕引擎的应用程序
--- a/src/renderer/src/types/index.ts
+++ b/src/renderer/src/types/index.ts
@@ -8,6 +8,8 @@ export interface Controls {
  targetLang: string,
  transModel: string,
  ollamaName: string,
+  ollamaUrl: string,
+  ollamaApiKey: string,
  engine: string,
  audio: 0 | 1,
  translation: boolean,
@@ -15,6 +17,9 @@ export interface Controls {
  API_KEY: string,
  voskModelPath: string,
  sosvModelPath: string,
+  glmUrl: string,
+  glmModel: string,
+  glmApiKey: string,
  recordingPath: string,
  customized: boolean,
  customizedApp: string,
Author	SHA1	Message	Date
himeditator	3324b630d1	feat(app): 适配最新版本 - 修改软件内部分提示文本 - 添加 API KEY 掩码，防止直接输出 API KEY 内容	2026-01-10 20:15:32 +08:00
nocmt	0825e48902	feat(engine): 添加GLM-ASR语音识别引擎支持 - 新增GLM-ASR云端语音识别引擎实现 - 扩展配置界面添加GLM相关参数设置 - Ollama支持自定义域名和Apikey以支持云端和其他LLM - 修改音频处理逻辑以支持新引擎 - 更新依赖项和构建配置 - 修复Ollama翻译功能相关问题	2026-01-10 16:02:24 +08:00
himeditator	383e582a2d	docs(readme): 更新说明并添加终端使用指南	2025-11-02 20:53:56 +08:00
himeditator	e6a65f8362	feat(engine): 字幕引擎添加在终端直接显示字幕的功能	2025-11-01 21:06:28 +08:00
himeditator	77726753bb	fix(renderer): 修复暗色主题下部分字体不可见的问题	2025-09-15 22:17:47 +08:00