Remove LlamaX

app.py

@@ -31,7 +31,7 @@ models = ["Helsinki-NLP",
           "google/flan-t5-small", "google/flan-t5-base", "google/flan-t5-large", "google/flan-t5-xl",
           "google/madlad400-3b-mt", "jbochi/madlad400-3b-mt",
           "Argos", "Google",
-          "HuggingFaceTB/SmolLM3-3B", "winninghealth/WiNGPT-Babel-2", "LLaMAX/LLaMAX3-8B",
+          "HuggingFaceTB/SmolLM3-3B", "winninghealth/WiNGPT-Babel-2",
           "utter-project/EuroLLM-1.7B", "utter-project/EuroLLM-1.7B-Instruct",
           "Unbabel/Tower-Plus-2B", "Unbabel/TowerInstruct-7B-v0.2", "Unbabel/TowerInstruct-Mistral-7B-v0.2",
           "openGPT-X/Teuken-7B-instruct-commercial-v0.4", "openGPT-X/Teuken-7B-instruct-v0.6"
@@ -130,14 +130,7 @@ class Translators:
                 return self.HelsinkiNLP_mulroa()
         except KeyError as error:
             return f"Error: Translation direction {self.sl} to {self.tl} is not supported by Helsinki Translation Models", error
-
-    def LLaMAX(self):
-        pipe = pipeline("text-generation", model="LLaMAX/LLaMAX3-8B")
-        messages = [
-            {"role": "user", "content": f"Translate the following text from {self.sl} to {self.sl}: {self.input_text}"},
-        ]
-        return pipe(messages)[0]["generated_text"]
-    
+  
     def LegoMT(self):
         from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
         model = M2M100ForConditionalGeneration.from_pretrained(self.model_name) # "Lego-MT/Lego-MT"
@@ -480,9 +473,6 @@ def translate_text(input_text: str, s_language: str, t_language: str, model_name
         elif model_name == "winninghealth/WiNGPT-Babel-2":      
             translated_text = Translators(model_name, s_language, t_language, input_text).wingpt()
 
-        elif "LLaMAX" in model_name:      
-            translated_text = Translators(model_name, s_language, t_language, input_text).LLaMAX()            
-
         elif model_name == "Bergamot":
             translated_text, message_text = Translators(model_name, s_language, t_language, input_text).bergamot()