Update modules/app.py

modules/app.py

@@ -63,7 +63,7 @@ def load_models():
             #'nllb-1.3B': 'facebook/nllb-200-1.3B',
             #'nllb-distilled-1.3B': 'facebook/nllb-200-distilled-1.3B',
             #'nllb-3.3B': 'facebook/nllb-200-3.3B',
-            'nllb-moe-54b': 'facebook/nllb-moe-54b',
+            #'nllb-moe-54b': 'facebook/nllb-moe-54b',
             }
 
     model_dict = {}
@@ -82,31 +82,32 @@ def load_models():
 beam_size = 1  # change to a smaller value for faster inference
 device = "cpu"  # or "cuda"
 
+print('(note-to-self)..... I play the Orchestra🦋.......')
+
 # Language Prediction model
-print("\nimporting Language Prediction model")
+print("\n1️⃣importing Language Prediction model")
 lang_model_file = "lid218e.bin"
 lang_model_full_path = os.path.join(os.path.dirname(__file__), lang_model_file)
 lang_model = fasttext.load_model(lang_model_full_path)
 
 
 # Load the source SentencePiece model
-print("\nimporting SentencePiece model")
+print("\n2️⃣importing SentencePiece model")
 sp_model_file = "spm.model"
 sp_model_full_path = os.path.join(os.path.dirname(__file__), sp_model_file)
 sp = spm.SentencePieceProcessor()
 sp.load(sp_model_full_path)
 
 # Import The Translator model
-'''
-print("\nimporting Translator model")
+
+print("\n3️⃣importing Translator model")
 ct_model_file = "sematrans-3.3B"
 ct_model_full_path = os.path.join(os.path.dirname(__file__), ct_model_file)
 translator = ctranslate2.Translator(ct_model_full_path, device)
-'''
-print("\nimporting Translator model")
-model_dict = load_models()
 
-print('\nDone importing models\n')
+#model_dict = load_models()
+
+print('\nDone importing models 🙈\n')
 
     
 def translate_detect(userinput: str, target_lang: str):