First true version

app.py

@@ -2,6 +2,10 @@ import os
 import re
 import logging
 import nltk
+# Chargement des ressources NLTK
+nltk.download('punkt')
+nltk.data.find('corpora/wordnet')
+nltk.download('wordnet')
 import torch
 import gradio as gr
 from transformers import pipeline, AutoConfig
@@ -20,10 +24,6 @@ model_name = "AgentPublic/camembert-base-toxic-fr-user-prompts"
 config = AutoConfig.from_pretrained(model_name)
 classifier = pipeline('text-classification', model=model_name, device=device)
 
-# Chargement des ressources NLTK
-nltk.download('punkt')
-nltk.data.find('corpora/wordnet')
-nltk.download('wordnet')
 
 lemmatizer = WordNetLemmatizer()
 insult_words = [