Update modelisation_seq2seq_tab.py

tabs/modelisation_seq2seq_tab.py

@@ -98,9 +98,9 @@ def display_translation(n1, Lang, model_type):
     
     placeholder = st.empty()
     with st.status(":sunglasses:", expanded=True):
-        s = df_data_src.iloc[n1:n1+5][0].tolist()
+        s = df_data_src.iloc[n1:n1+3][0].tolist()
         s_trad = []
-        s_trad_ref = df_data_tgt.iloc[n1:n1+5][0].tolist()
+        s_trad_ref = df_data_tgt.iloc[n1:n1+3][0].tolist()
         source = Lang[:2]
         target = Lang[-2:]
         params = []
@@ -117,12 +117,10 @@ def display_translation(n1, Lang, model_type):
             # Appels parallèles à fetch_translation avec les URLs
             responses = p.map(fetch_translation, params)
             
-            for response, s_text in zip(responses, s):
-                # Récupération des résultats
-                s_trad.append(response.json())
+            for response, s_text, s_ref in zip(responses, s, s_trad_ref):
                 st.write(f"**{source}   :**  :blue[{s_text}]")
-                st.write(f"**{target}   :**  {s_trad[-1]}")
-                st.write(f"**ref. :** {s_trad_ref[i]}")
+                st.write(f"**{target}   :**  {response.json()}")
+                st.write(f"**ref. :** {s_ref}")
                 st.write("")
     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>", \