fixing bin files

translations/urls.py

@@ -8,6 +8,6 @@ urlpatterns = [
     # path('UserTranslations/', TranslationListViewSet.as_view(), name="translations"),
     # path('TextToDeafSign/', TextToDeafSignViewSet.as_view(), name="text_to_deaf_sign"),
     # path('AudioToDeafSign/', AudioToDeafSignViewSet.as_view(), name="audio_to_deaf_sign"),
-    path('AudioToText/', AudioToText.as_view(), name="audio_to_text"),
-    path('FongbeToFrText/', FongbeToFrancaisText.as_view(), name="fongbe_to_french_text")
+    path('FongbeToFrText/', FongbeToFrancaisText.as_view(), name="fongbe_to_french_text"),
+    path('AudioToText/', AudioToText.as_view(), name="audio_to_text")
 ]

utils/utils_function.py

@@ -1,6 +1,7 @@
 from fairseq.models.transformer import TransformerModel
 import os
 import torch
+import zipfile
 
 class Translator:
     def __init__(self, isFon:bool, device='cuda' if torch.cuda.is_available() else 'cpu'):
@@ -8,6 +9,15 @@ class Translator:
         # Charger le modèle pré-entraîné avec Fairseq
         inner = "fon_fr" if isFon else "fr_fon"
 
+        if not os.path.exists('utils/data_prepared/'):
+            print("Not existed")
+
+            with zipfile.ZipFile('utils/data_prepared.zip', 'r') as zip_ref:
+                zip_ref.extractall('utils/')
+                
+        else:
+            print("Existed")
+
         self.model = TransformerModel.from_pretrained(
             './utils/checkpoints/fon_fr',
             checkpoint_file='checkpoint_best.pt',