....

packages.txt

@@ -1,5 +1,4 @@
 build-essential
 libasound-dev
 portaudio19-dev
-python3-pyaudio
-graphviz
+python3-pyaudio

tabs/modelisation_seq2seq_tab.py

@@ -13,8 +13,8 @@ import io
 import wavio
 # from filesplit.merge import Merge
 # import tensorflow as tf
-import string
-import re
+# import string
+# import re
 # from tensorflow import keras
 # from keras_nlp.layers import TransformerEncoder
 # from tensorflow.keras import layers
@@ -23,17 +23,35 @@ import re
 from gtts import gTTS
 from extra_streamlit_components import tab_bar, TabBarItemData
 from translate_app import tr
+import csv
 import requests
 # import asyncio
 # import aiohttp
-from multiprocessing import Pool
+# from multiprocessing import Pool
 import concurrent.futures
 import time
 
+
 title = "Traduction Sequence à Sequence"
 sidebar_name = "Traduction Seq2Seq"
 dataPath = st.session_state.DataPath
 
+@st.cache_data
+def read_api_url():
+
+    api_url = []
+    # Ouvrir le fichier CSV en mode lecture
+    with open("api-url.txt", newline='') as fichier_csv:
+        lecteur_csv = csv.reader(fichier_csv)
+
+        # Lire et afficher les trois premières lignes
+        for i in range(3):
+            ligne = next(lecteur_csv, None)  # Lire la ligne suivante
+            if ligne is not None:
+                api_url.append(ligne)
+            else: return None
+        return api_url
+
 @st.cache_data
 def load_corpus(path):
     input_file = os.path.join(path)
@@ -95,7 +113,7 @@ def fetch_translation2(url):
     return requests.get(url)
 
 def display_translation2(n1, Lang, model_type):
-    global df_data_src, df_data_tgt, placeholder
+    global df_data_src, df_data_tgt, placeholder, url_base
     
     n = 3
     placeholder = st.empty()
@@ -106,17 +124,11 @@ def display_translation2(n1, Lang, model_type):
         source = Lang[:2]
         target = Lang[-2:]
         params = []
-        if model_type == 1:
-            url_base = "https://demosthene-or-api-avr23-cds-translation.hf.space/small_vocab/rnn"
-        else:
-            url_base = "https://demosthene-or-api-avr23-cds-translation.hf.space/small_vocab/transformer"
         for i in range(n):
-            # Construction de l'URL avec les paramètres
-            # url = f"{url_base}{i}?lang_tgt={target}&texte={s[i]}"
             if model_type == 1:
-                url = f"https://demosthene-or-api-avr23-cds-translation{i+1}.hf.space/small_vocab/rnn?lang_tgt={target}&texte={s[i]}"
+                url = f"{url_base[i]}/small_vocab/rnn?lang_tgt={target}&texte={s[i]}"
             else:
-                url = f"https://demosthene-or-api-avr23-cds-translation{i+1}.hf.space/small_vocab/transformer?lang_tgt={target}&texte={s[i]}"
+                url = f"{url_base[i]}/small_vocab/transformer?lang_tgt={target}&texte={s[i]}"
             params.append(url)
         '''
         with Pool(n) as p:
@@ -215,7 +227,7 @@ def run():
 
     global n1, df_data_src, df_data_tgt, placeholder, model_speech
     global df_data_en, df_data_fr, lang_classifier, translation_en_fr, translation_fr_en
-    global lang_tgt, label_lang
+    global lang_tgt, label_lang, url_base
 
     st.write("")
     st.title(tr(title))
@@ -261,6 +273,7 @@ def run():
         default="tab1")
     
     if (chosen_id == "tab1") or (chosen_id == "tab2") :
+        url_base = read_api_url()
         if (chosen_id == "tab1"):
             st.write("<center><h5><b>"+tr("Schéma d'un Réseau de Neurones Récurrents")+"</b></h5></center>", unsafe_allow_html=True)
             st.image("assets/deepnlp_graph3.png",use_column_width=True)
@@ -329,9 +342,9 @@ def run():
                 , unsafe_allow_html=True)
         st.write("<center><h5>"+tr("Architecture du modèle utilisé")+":</h5>", unsafe_allow_html=True)
         if (chosen_id == "tab1"):
-            st.image("https://demosthene-or-api-avr23-cds-translation.hf.space/small_vocab/plot_model?lang_tgt="+Lang[-2:]+"&model_type=rnn",use_column_width=True)
+            st.image(url_base[0]+"/small_vocab/plot_model?lang_tgt="+Lang[-2:]+"&model_type=rnn",use_column_width=True)
         else:
-            st.image("https://demosthene-or-api-avr23-cds-translation.hf.space/small_vocab/plot_model?lang_tgt="+Lang[-2:]+"&model_type=transformer",use_column_width=True)
+            st.image(url_base[0]+"/small_vocab/plot_model?lang_tgt="+Lang[-2:]+"&model_type=transformer",use_column_width=True)
 
         st.write("</center>", unsafe_allow_html=True)