Update app.py

app.py

@@ -47,7 +47,7 @@ models = ["Helsinki-NLP", "QUICKMT", "Argos", "Lego-MT/Lego-MT", "HPLT", "HPLT-O
           "BSC-LT/salamandraTA-2b-instruct", "BSC-LT/salamandraTA-7b-instruct",
           "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",
-          "HuggingFaceTB/SmolLM3-3B",
+          "HuggingFaceTB/SmolLM3-3B", "LLaMAX/LLaMAX3-8B",
           "winninghealth/WiNGPT-Babel-2-1", "winninghealth/WiNGPT-Babel-2", "winninghealth/WiNGPT-Babel",
          "tencent/Hunyuan-MT-7B",
          "openGPT-X/Teuken-7B-instruct-commercial-v0.4", "openGPT-X/Teuken-7B-instruct-v0.6",
@@ -213,7 +213,7 @@ class Translators:
     
     def salamandratapipe(self):
         pipe = pipeline("text-generation", model=self.model_name)
-        messages = [f"Translate the following text from {self.sl} into {self.tl}.\n{self.sl}: {self.input_text} \n{self.tl}:"]
+        messages = [{"role": "user", "content": f"Translate the following text from {self.sl} into {self.tl}.\n{self.sl}: {self.input_text} \n{self.tl}:"}]
         return pipe(messages)[0]["generated_text"]
     
     def salamandrata(self):
@@ -609,7 +609,7 @@ def translate_text(model_name: str, s_language: str, t_language: str, input_text
             translated_text = Translators(model_name, sl, tl, input_text).google()
     
         elif "salamandra" in model_name.lower():
-            translated_text = Translators(model_name, s_language, t_language, input_text).salamandrata()
+            translated_text = Translators(model_name, s_language, t_language, input_text).salamandratapipe()
 
         elif "m2m" in model_name.lower():
             translated_text = Translators(model_name, sl, tl, input_text).mtom()