Add

tabs/intro.py

@@ -59,7 +59,7 @@ def run():
 
         Nous évaluerons la qualité de nos résultats en les comparant avec des systèmes performants tels que “[Google translate](https://translate.google.fr/)”  
           
-        Le projet est enregistré sur [Github](https://github.com/DataScientest-Studio/AVR23_CDS_Reco_vocale/tree/main)
+        Le projet est enregistré sur [Github](https://github.com/Demosthene-OR/AVR23_CDS_Text_translation)
 
         """
     )

tabs/modelisation_seq2seq_tab.py

@@ -27,8 +27,6 @@ from extra_streamlit_components import tab_bar, TabBarItemData
 title = "Traduction Sequence à Sequence"
 sidebar_name = "Traduction Seq2Seq"
 
-# !pip install transformers
-# !pip install sentencepiece
 
 @st.cache_data
 def load_corpus(path):
@@ -50,6 +48,7 @@ def custom_standardization(input_string):
     return tf.strings.regex_replace(
         lowercase, f"[{re.escape(strip_chars)}]", "")
 
+@st.cache_data
 def load_vocab(file_path):
     with open(file_path, "r",  encoding="utf-8") as file:
         return file.read().split('\n')[:-1]
@@ -311,12 +310,12 @@ def find_lang_label(lang_sel):
 
 @st.cache_data
 def translate_examples():
-    s = ["the alchemists wanted to transform the lead",
-         "you are definitely a loser",
-         "you fear to fail your exam",
+    s = ["The alchemists wanted to transform the lead",
+         "You are definitely a loser",
+         "You fear to fail your exam",
          "I drive an old rusty car",
-         "magic can make dreams come true!",
-         "with magic, lead does not exist anymore",
+         "Magic can make dreams come true!",
+         "With magic, lead does not exist anymore",
          "The data science school students  learn how to fine tune transformer models",
          "F1 is a very appreciated sport",
          ]