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

.gitignore

@@ -8,7 +8,14 @@ __pycache__
 .venv
 test.py
 engine/build
+engine/dist
+engine/.venv
+engine/__pycache__
+engine/portaudio
+package-lock.json
+engine/pyinstaller_cache
 engine/models
 engine/notebook
 .repomap
 .virtualme
+engine/main.spec

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>

engine/audio2text/__init__.py

@@ -1,3 +1,4 @@
 from .gummy import GummyRecognizer
 from .vosk import VoskRecognizer
 from .sosv import SosvRecognizer
+from .glm import GlmRecognizer

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)

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()    

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()

engine/main.py

@@ -8,6 +8,7 @@ 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(
@@ -139,16 +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 or sosv')
-    parser.add_argument('-a', '--audio_type', default=0, help='Audio stream source: 0 for output, 1 for input')
+    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', default=10, help='Number of audio stream chunks collected per second')
+    parser.add_argument('-c', '--chunk_rate', type=int, 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('-p', '--port', type=int, default=0, help='The port to run the server on, 0 for no server')
-    parser.add_argument('-d', '--display_caption', default=0, help='Display caption on terminal, 0 for no display, 1 for display')
+    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', default=0, help='Whether to record the audio, 0 for no recording, 1 for recording')
+    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')
@@ -157,20 +200,24 @@ 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 int(args.display_caption) != 0:
+    if args.port != 0:
+        threading.Thread(target=start_server, args=(args.port,), daemon=True).start()
+
+    if args.display_caption == '1':
         change_caption_display(True)
-        print("Caption will be displayed on terminal")
 
     if args.caption_engine == 'gummy':
         main_gummy(
@@ -179,7 +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':
@@ -190,7 +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':
@@ -202,7 +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:

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',
 )

engine/requirements.txt

@@ -8,3 +8,5 @@ pyaudiowpatch; sys_platform == 'win32'
 googletrans
 ollama
 sherpa_onnx
+requests
+openai

engine/utils/sysout.py

@@ -47,7 +47,6 @@ def translation_display(obj):
 
 def stdout_obj(obj):
     global display_caption
-    print(obj['command'], display_caption)
     if obj['command'] == 'caption' and display_caption:
         caption_display(obj)
         return

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):
+def ollama_translate(model: str, target: str, text: str, time_s: str, url: str = '', key: str = ''):
-    response: ChatResponse = chat(
+    content = ""
-        model=model,
+    try:
-        messages=[
+        if url:
-            {"role": "system", "content": f"/no_think Translate the following content into {lang_map[target]}, and do not output any additional information."},
+            if OpenAI:
-            {"role": "user", "content": text}
+                client = OpenAI(base_url=url, api_key=key if key else "ollama")
-        ]
+                response = client.chat.completions.create(
-    )
+                    model=model,
-    content = response.message.content or ""
+                    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.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:

package-lock.json

@@ -110,6 +110,7 @@
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-      "license": "MIT",
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-      "license": "MIT",
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-      "license": "MIT",
+      "license": "MIT"
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+      "license": "MIT"
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@@ -6430,8 +6418,7 @@
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-      "license": "MIT",
+      "license": "MIT"
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       "license": "MIT",
+      "peer": true,
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         "prettier": "bin/prettier.cjs"
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@@ -7436,8 +7423,7 @@
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-      "license": "MIT",
+      "license": "MIT"
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       "dev": true,
       "license": "MIT",
+      "peer": true,
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       "devOptional": true,
       "license": "Apache-2.0",
+      "peer": true,
       "bin": {
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         "tsserver": "bin/tsserver"
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+      "peer": true,
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@@ -8701,6 +8687,7 @@
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       "dev": true,
       "license": "MIT",
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@@ -8720,6 +8707,7 @@
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+      "peer": true,
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@@ -8742,6 +8730,7 @@
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       "dev": true,
       "license": "MIT",
+      "peer": true,
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@@ -9046,7 +9035,6 @@
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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,

src/main/utils/AllConfig.ts

@@ -6,7 +6,7 @@ import { Log } from './Log'
 import { app, BrowserWindow } from 'electron'
 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 +44,18 @@ 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,

src/main/utils/CaptionEngine.ts

@@ -1,8 +1,8 @@
 import { exec, spawn } from 'child_process'
 import { app } from 'electron'
 import { is } from '@electron-toolkit/utils'
-import path from 'path'
+import * as path from 'path'
-import net from 'net'
+import * as net from 'net'
 import { controlWindow } from '../ControlWindow'
 import { allConfig } from './AllConfig'
 import { i18n } from '../i18n'
@@ -60,7 +60,7 @@ 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 +87,8 @@ export class CaptionEngine {
         this.command.push('-vosk', `"${allConfig.controls.voskModelPath}"`)
         this.command.push('-tm', allConfig.controls.transModel)
         this.command.push('-omn', allConfig.controls.ollamaName)
+        if(allConfig.controls.ollamaUrl) this.command.push('-ourl', allConfig.controls.ollamaUrl)
+        if(allConfig.controls.ollamaApiKey) this.command.push('-okey', allConfig.controls.ollamaApiKey)
       }
       else if(allConfig.controls.engine === 'sosv'){
         this.command.push('-e', 'sosv')
@@ -94,10 +96,25 @@ export class CaptionEngine {
         this.command.push('-sosv', `"${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') {
+    if(this.command.length > 2 && this.command[this.command.length - 2] === '-k') {
       const _command = [...this.command]
       _command[_command.length -1] = _command[_command.length -1].replace(/./g, '*')
       Log.info('Engine Command:', _command)

src/renderer/src/components/EngineControl.vue

@@ -52,6 +52,44 @@
         v-model:value="currentOllamaName"
       ></a-input>
     </div>
+    <div class="input-item" v-if="transModel && currentTransModel === 'ollama'">
+      <span class="input-label">Ollama Domain</span>
+      <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'">
+      <span class="input-label">Ollama API Key</span>
+      <a-input-password
+        class="input-area"
+        v-model:value="currentOllamaApiKey"
+      ></a-input-password>
+    </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" v-if="currentEngine === 'glm'">
+      <span class="input-label">GLM API Key</span>
+      <a-input-password
+        class="input-area"
+        v-model:value="currentGlmApiKey"
+      ></a-input-password>
+    </div>
     <div class="input-item">
       <span class="input-label">{{ $t('engine.audioType') }}</span>
       <a-select
@@ -239,9 +277,14 @@ 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 +337,17 @@ 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 +368,8 @@ 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 +377,9 @@ 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

src/renderer/src/i18n/config/engine.ts

@@ -58,6 +58,21 @@ export const engines = {
         { value: 'ollama', label: 'Ollama 本地模型' },
         { 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 本地模型' },
+        { value: 'google', label: 'Google API 调用' },
+      ]
     }
   ],
   en: [
@@ -118,6 +133,21 @@ export const engines = {
         { value: 'ollama', label: 'Ollama Local 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 Local Model' },
+        { value: 'google', label: 'Google API Call' },
+      ]
     }
   ],
   ja: [
@@ -178,6 +208,21 @@ export const engines = {
         { value: 'ollama', label: 'Ollama ローカルモデル' },
         { 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 ローカルモデル' },
+        { value: 'google', label: 'Google API 呼び出し' },
+      ]
     }
   ]
 }

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

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,