feat : support any language set in config

config.ini

@@ -10,6 +10,7 @@ speak = False
 listen = False
 work_dir =  /Users/mlg/Documents/ai_folder
 jarvis_personality = False
+languages = en zh fr
 [BROWSER]
 headless_browser = False
-stealth_mode = False
+stealth_mode = True

main.py

@@ -18,17 +18,19 @@ config.read('config.ini')
 
 def main():
     pretty_print("Initializing...", color="status")
+    stealth_mode = config.getboolean('BROWSER', 'stealth_mode')
+    personality_folder = "jarvis" if config.getboolean('MAIN', 'jarvis_personality') else "base"
+    languages = config["MAIN"]["languages"].split(' ')
+
     provider = Provider(provider_name=config["MAIN"]["provider_name"],
                         model=config["MAIN"]["provider_model"],
                         server_address=config["MAIN"]["provider_server_address"],
                         is_local=config.getboolean('MAIN', 'is_local'))
 
-    stealth_mode = config.getboolean('BROWSER', 'stealth_mode')
     browser = Browser(
         create_driver(headless=config.getboolean('BROWSER', 'headless_browser'), stealth_mode=stealth_mode),
         anticaptcha_manual_install=stealth_mode
     )
-    personality_folder = "jarvis" if config.getboolean('MAIN', 'jarvis_personality') else "base"
 
     agents = [
         CasualAgent(name=config["MAIN"]["agent_name"],
@@ -52,6 +54,7 @@ def main():
                               tts_enabled=config.getboolean('MAIN', 'speak'),
                               stt_enabled=config.getboolean('MAIN', 'listen'),
                               recover_last_session=config.getboolean('MAIN', 'recover_last_session'),
+                              langs=languages
                             )
     try:
         while interaction.is_active:

sources/interaction.py

@@ -15,6 +15,7 @@ class Interaction:
                  tts_enabled: bool = True,
                  stt_enabled: bool = True,
                  recover_last_session: bool = False,
+                 langs: List[str] = ["en", "zh"]
                 ):
         self.is_active = True
         self.current_agent = None
@@ -25,7 +26,7 @@ class Interaction:
         self.tts_enabled = tts_enabled
         self.stt_enabled = stt_enabled
         self.recover_last_session = recover_last_session
-        self.router = AgentRouter(self.agents)
+        self.router = AgentRouter(self.agents, supported_language=langs)
         if tts_enabled:
             animate_thinking("Initializing text-to-speech...", color="status")
             self.speech = Speech(enable=tts_enabled)

sources/language.py

@@ -10,11 +10,17 @@ from sources.logger import Logger
 
 class LanguageUtility:
     """LanguageUtility for language, or emotion identification"""
-    def __init__(self):
+    def __init__(self, supported_language: List[str] = ["en", "fr", "zh"]):
+        """
+        Initialize the LanguageUtility class
+        args:
+            supported_language: list of languages for translation, determine which Helsinki-NLP model to load
+        """
         self.sid = None 
         self.translators_tokenizer = None 
         self.translators_model = None
         self.logger = Logger("language.log")
+        self.supported_language = supported_language
         self.load_model()
     
     def load_model(self) -> None:
@@ -24,23 +30,18 @@ class LanguageUtility:
         except LookupError:
             nltk.download('vader_lexicon')
         self.sid = SentimentIntensityAnalyzer()
-        self.translators_tokenizer = {
-            "fr": MarianTokenizer.from_pretrained("Helsinki-NLP/opus-mt-fr-en"),
-            "zh": MarianTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zh-en")
-        }
-        self.translators_model = {
-            "fr": MarianMTModel.from_pretrained("Helsinki-NLP/opus-mt-fr-en"),
-            "zh": MarianMTModel.from_pretrained("Helsinki-NLP/opus-mt-zh-en")
-        }
+        self.translators_tokenizer = {lang: MarianTokenizer.from_pretrained(f"Helsinki-NLP/opus-mt-{lang}-en") for lang in self.supported_language if lang != "en"}
+        self.translators_model = {lang: MarianMTModel.from_pretrained(f"Helsinki-NLP/opus-mt-{lang}-en") for lang in self.supported_language if lang != "en"}
     
     def detect_language(self, text: str) -> str:
         """
         Detect the language of the given text using langdetect
+        Limited to the supported languages list because of the model tendency to mistake similar languages
         Args:
             text: string to analyze
         Returns: ISO639-1 language code
         """
-        langid.set_languages(['fr', 'en', 'zh'])
+        langid.set_languages(self.supported_language)
         lang, score = langid.classify(text)
         self.logger.info(f"Identified: {text} as {lang} with conf {score}")
         return lang

sources/router.py

@@ -20,10 +20,10 @@ class AgentRouter:
     """
     AgentRouter is a class that selects the appropriate agent based on the user query.
     """
-    def __init__(self, agents: list):
+    def __init__(self, agents: list, supported_language: List[str] = ["en", "fr", "zh"]):
         self.agents = agents
         self.logger = Logger("router.log")
-        self.lang_analysis = LanguageUtility()
+        self.lang_analysis = LanguageUtility(supported_language=supported_language)
         self.pipelines = self.load_pipelines()
         self.talk_classifier = self.load_llm_router()
         self.complexity_classifier = self.load_llm_router()