...

requirements.txt

@@ -36,3 +36,4 @@ deep-translator==1.11.4
 requests==2.27.0
 asyncio
 aiohttp
+multiprocessing

tabs/modelisation_seq2seq_tab.py

@@ -26,6 +26,7 @@ from translate_app import tr
 import requests
 import asyncio
 import aiohttp
+from multiprocessing import Pool
 import time
 
 title = "Traduction Sequence à Sequence"
@@ -88,7 +89,41 @@ 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
+    
+    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:]
+        params = []
+        if model_type==1:
+            # URL de votre endpoint FastAPI avec les paramètres de requête
+            url = "https://demosthene-or-api-avr23-cds-translation.hf.space/small_vocab/rnn"
+        else:
+            # URL de votre endpoint FastAPI avec les paramètres de requête
+            url = "https://demosthene-or-api-avr23-cds-translation.hf.space/small_vocab/transformer"
+        for i in range(3):
+            # Ajout du parametre à la liste des parametres
+            params.append(url+"?lang_tgt="+target+"&texte="+s[i])
+        
+        with Pool(3) as p:
+            responses = p.map(requests.get, params)
+            
+        for i in range(3):
+            s_trad.append(responses[i].json())
+            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)
+'''
 async def fetch_translation(url, params):
     async with aiohttp.ClientSession() as session:
         async with session.get(url, params=params) as response:
@@ -130,7 +165,7 @@ 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        
@@ -229,15 +264,15 @@ 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))