....

requirements.txt

@@ -35,3 +35,4 @@ streamlit-option-menu==0.3.12
 deep-translator==1.11.4
 requests==2.27.0
 asyncio
+aiohttp

tabs/modelisation_seq2seq_tab.py

@@ -25,6 +25,7 @@ from extra_streamlit_components import tab_bar, TabBarItemData
 from translate_app import tr
 import requests
 import asyncio
+import aiohttp
 
 title = "Traduction Sequence à Sequence"
 sidebar_name = "Traduction Seq2Seq"
@@ -304,6 +305,7 @@ def display_translation(n1, Lang,model_type):
         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)
 '''
+'''
 def display_translation(n1, Lang,model_type):
     global df_data_src, df_data_tgt, placeholder
     
@@ -339,6 +341,50 @@ 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):
+    async with aiohttp.ClientSession() as session:
+        async with session.get(url, params=params) as response:
+            return await response.json()
+
+async def display_translation(n1, Lang, model_type):
+    global df_data_src, df_data_tgt, placeholder
+    
+    placeholder = st.empty()
+    with st.status(":sunglasses:", expanded=True):
+        s = df_data_src.iloc[n1:n1+5][0].tolist()
+        s_trad = []
+        s_trad_ref = df_data_tgt.iloc[n1:n1+5][0].tolist()
+        source = Lang[:2]
+        target = Lang[-2:]
+        
+        # Liste des tâches à exécuter en parallèle
+        tasks = []
+        for i in range(3):
+            params = {"lang_tgt": target, "texte": s[i]}
+            if model_type == 1:
+                url = "https://demosthene-or-api-avr23-cds-translation.hf.space/small_vocab/rnn"
+            else:
+                url = "https://demosthene-or-api-avr23-cds-translation.hf.space/small_vocab/transformer"
+            
+            # Ajout de la tâche à la liste des tâches
+            tasks.append(fetch_translation(url, params))
+        
+        # Exécution des tâches en parallèle
+        responses = await asyncio.gather(*tasks)
+        
+        for i, response in enumerate(responses):
+            s_trad.append(response)
+            st.write("**"+source+"   :**  :blue["+ s[i]+"]")
+            st.write("**"+target+"   :**  "+s_trad[-1])
+            st.write("**ref. :** "+s_trad_ref[i])
+            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>", \
+            unsafe_allow_html=True)
+
+
         
 @st.cache_data        
 def find_lang_label(lang_sel):
@@ -441,9 +487,13 @@ def run():
 
         st.write("## **"+tr("Résultats")+" :**\n")
         if (chosen_id == "tab1"):
-            display_translation(n1, Lang,1)
+            # Exécuter la fonction asynchrone
+            asyncio.run(display_translation(n1, Lang, 1))
+            # display_translation(n1, Lang,1)
         else: 
-            display_translation(n1, Lang,2)
+            # Exécuter la fonction asynchrone
+            asyncio.run(display_translation(n1, Lang, 2))
+            # display_translation(n1, Lang,2)
 
         st.write("## **"+tr("Details sur la méthode")+" :**\n")
         if (chosen_id == "tab1"):