Update modelisation_seq2seq_tab.py

tabs/modelisation_seq2seq_tab.py

@@ -275,7 +275,7 @@ n1 = 0
 df_data_en, df_data_fr, translation_en_fr, translation_fr_en, lang_classifier, model_speech, rnn_en_fr, rnn_fr_en,\
     transformer_en_fr, transformer_fr_en, finetuned_translation_en_fr = load_all_data() 
 
-
+'''
 def display_translation(n1, Lang,model_type):
     global df_data_src, df_data_tgt, placeholder
     
@@ -305,8 +305,8 @@ def display_translation(n1, Lang,model_type):
     with placeholder:
         st.write("<p style='text-align:center;background-color:red; color:white')>Score Bleu = "+str(int(round(corpus_bleu(s_trad,[s_trad_ref]).score,0)))+"%</p>", \
             unsafe_allow_html=True)
-
 '''
+
 async def fetch_translation(url, params):
     a = str(time.time())
     st.write("debut fetch: "+a)
@@ -351,7 +351,7 @@ async def display_translation(n1, Lang, model_type):
     with placeholder:
         st.write("<p style='text-align:center;background-color:red; color:white')>Score Bleu = "+str(int(round(corpus_bleu(s_trad,[s_trad_ref]).score,0)))+"%</p>", \
             unsafe_allow_html=True)
-'''
+
 
         
 @st.cache_data        
@@ -457,15 +457,15 @@ def run():
         if (chosen_id == "tab1"):
             t0 = time.time()
             # Exécuter la fonction asynchrone
-            # asyncio.run(display_translation(n1, Lang, 1))
-            display_translation(n1, Lang,1)
+            asyncio.run(display_translation(n1, Lang, 1))
+            # display_translation(n1, Lang,1)
             t1 = time.time()
             st.write("Durée: "+str(t1-t0))
         else: 
             t0 = time.time()
             # Exécuter la fonction asynchrone
-            # asyncio.run(display_translation(n1, Lang, 2))
-            display_translation(n1, Lang,2)
+            asyncio.run(display_translation(n1, Lang, 2))
+            # display_translation(n1, Lang,2)
             t1 = time.time()
             st.write("Durée: "+str(t1-t0))