feat(engine): add LaraTranslate engine

engines/__init__.py

@@ -10,10 +10,11 @@
 from .baidu import BaiduTranslate
 from .microsoft import MicrosoftEdgeTranslate, AzureChatgptTranslate
 from .deepseek import DeepseekTranslate
+from .laratranslate import LaraTranslate
 
 builtin_engines: tuple[type[Base], ...] = (
     GoogleFreeTranslateNew, GoogleFreeTranslateHtml, GoogleFreeTranslate,
     GoogleBasicTranslate, GoogleBasicTranslateADC, GoogleAdvancedTranslate,
     ChatgptTranslate, AzureChatgptTranslate, GeminiTranslate, ClaudeTranslate,
     DeepseekTranslate, DeeplTranslate, DeeplProTranslate, DeeplFreeTranslate,
-    MicrosoftEdgeTranslate, YoudaoTranslate, BaiduTranslate)
+    MicrosoftEdgeTranslate, YoudaoTranslate, BaiduTranslate, LaraTranslate)

engines/genai.py

@@ -14,6 +14,7 @@ class GenAI(Base, ABC):
     temperature: float
     top_p: float
     top_k: int
+    not_need_tlang: bool = False
 
     @abstractmethod
     def get_models(self) -> list[str]:

engines/laratranslate.py

@@ -0,0 +1,71 @@
+import json
+from .languages import google
+from .genai import GenAI
+
+
+class LaraTranslate(GenAI):
+    name = 'LaraTranslate(Free)'
+    alias = 'Lara Translate (Free)'
+    free = True
+    lang_codes = GenAI.load_lang_codes(google)
+    need_api_key = False
+
+    samplings = ['top_p']
+    sampling = 'top_p'
+
+    endpoint = 'https://webapi.laratranslate.com/translate/segmented'
+    api_key_errors: list[str] = ['401']
+
+    concurrency_limit = 1
+    request_interval: float = 1.0
+    request_timeout: float = 30.0
+
+    temperature = 1.0
+    top_p = 1.0
+    top_k = 1
+    stream = False
+    not_need_tlang = True
+
+    prompt = (
+        'Your answer should be solely the translation of the given content. In your '
+        'answer do not add any prefix or suffix to the translated content. '
+        "Websites' URLs/addresses should be preserved as is in the "
+        "translation's output. Do not omit any part of the content, even if "
+        'it seems unimportant. '
+    )
+
+    models: list[str] = []
+    model: str | None = None
+
+    def __init__(self):
+        super().__init__()
+        self.prompt = self.config.get('prompt', self.prompt)
+
+    def _prompt(self, _text):
+        return self.prompt
+
+    def get_models(self):
+        return []
+
+    def get_headers(self):
+        return {'Content-Type': 'application/json'}
+
+    def get_body(self, text):
+        source = self._get_source_code()
+        if source == 'auto':
+            source = ''
+        return json.dumps(
+            {
+                'adapt_to': [],
+                'content_type': 'text/plain',
+                'glossaries': [],
+                'instructions': [self.prompt],
+                'q': text,
+                'source': source,
+                'style': 'faithful',
+                'target': self._get_target_code()
+            }
+        )
+
+    def get_result(self, response):
+        return json.loads(response)['content']['translations'][0]['translation']

setting.py

@@ -1324,7 +1324,7 @@ def update_prompt(self, widget, config):
         if not issubclass(self.current_engine, GenAI):
             return
         prompt = widget.toPlainText().strip()
-        if prompt and '<tlang>' not in prompt:
+        if prompt and not self.current_engine.not_need_tlang and '<tlang>' not in prompt:
             self.alert.pop(
                 _('the prompt must include {}.').format('<slang>'),
                 'warning')