corrections d'erreurs dans le code...

core/core.py

@@ -5,7 +5,7 @@ from os import getenv
 #from typing import Any
 #from typing import Dict
 #from typing import IO
-#from typing import List
+from typing import List
 from typing import Optional
 from typing import Tuple
 from typing import Union

core/speech_to_text.py

@@ -9,7 +9,7 @@ from io import BytesIO
 #from typing import Any
 #from typing import Dict
 from typing import IO
-#from typing import List
+from typing import List
 from typing import Optional
 #from typing import Tuple
 from typing import Union
@@ -18,7 +18,7 @@ from core.DetectLanguage import detect_language
 
 def huggingface_endpoints_stt(fichier_audio: str) -> str:
     # Définir l'URL de l'endpoint d'inférence sur Hugging Face
-    API_URL = f"{getenv("hf_endpoint_whisper_large_v3_turbo")}"
+    API_URL = f"{getenv('hf_endpoint_whisper_large_v3_turbo')}"
 
     # Inclure votre token d'accès Hugging Face dans les en-têtes de la requête
     headers = {
@@ -186,13 +186,12 @@ class SpeechToText(object):
         elif isinstance(filepath, IO):
             file_paths = [filepath.name]
         else:
-            file_paths = [ f"{file_path}" for file_path in filepath if isinstance(filepath, List[str]) else file_path.name for file_path in filepath ]
+            file_paths = [f'{file_path}' if isinstance(filepath, List) and isinstance(file_path, str) else file_path.name for file_path in filepath]
 
         # create the list 'file_streams'
-        file_streams = [open(f, "rb") for path in file_paths]
+        file_streams = [open(filepath, "rb") for filepath in file_paths]
 
         def create_assistant():
-            nonlocal self.client
             return self.client.beta.assistants.create(
                      name="Audio Language Detector",
                      instructions=" ".join([
@@ -209,7 +208,6 @@ class SpeechToText(object):
 
 
         def create_vector_store():
-            nonlocal self.client
             return self.client.beta.vector_stores.create(
                      name="Audio Language Detection"
                     )

pages/main.py

@@ -41,7 +41,7 @@ from core.converter import convert_language_name_to_iso6391
 from core.files import read_file
 from core.text_to_speech import openai_tts
 from core.DetectLanguage import detect_language
-from core.speech_to_text import huggingface_endpoints_stt
+#from core.speech_to_text import huggingface_endpoints_stt
 from core.speech_to_text import transcribe_audio
 from core.audio_files import concatenate_audio_files
 from core.audio_files import split_audio