Update main_dl.py

main_dl.py

@@ -45,8 +45,6 @@ def load_vocab(file_path):
 def decode_sequence_rnn(input_sentence, src, tgt):
     global translation_model
 
-    if translation_model not in globals():
-        load_rnn()
     vocab_size = 15000
     sequence_length = 50
 
@@ -184,8 +182,6 @@ class PositionalEmbedding(layers.Layer):
 def decode_sequence_transf(input_sentence, src, tgt):
     global translation_model
 
-    if translation_model not in globals():
-        load_transformer()
     vocab_size = 15000
     sequence_length = 30
 
@@ -288,7 +284,7 @@ init_dl_identifier()
 def lang_id_dl(sentences):
     global dl_model, label_encoder, lan_to_language
     
-    if dl_model not in globals():
+    if 'dl_model' not in globals():
         init_dl_identifier()
     if "str" in str(type(sentences)): predictions = dl_model.predict(encode_text([sentences]))
     else:  predictions = dl_model.predict(encode_text(sentences))
@@ -312,6 +308,10 @@ async def trad_rnn(lang_tgt:str,
               texte: str):
     global translation_model
     
+    if 'translation_model' not in globals():
+        load_rnn()
+        load_transformer()
+        
     if (lang_tgt=='en'):
         translation_model = rnn_fr_en
         return decode_sequence_rnn(texte, "fr", "en")
@@ -324,6 +324,10 @@ async def trad_transformer(lang_tgt:str,
               texte: str):
     global translation_model
     
+    if 'translation_model' not in globals():
+        load_rnn()
+        load_transformer()
+        
     if (lang_tgt=='en'):
         translation_model = transformer_fr_en
         return decode_sequence_transf(texte, "fr", "en")