remove extra tabs

app.py

@@ -13,17 +13,17 @@ txt = st.text_area("Text to analyze", defaultTxt)
 # Huggingface does not support Python 3.10 match statements and I'm too lazy to implement an equivalent.
 
 if (option == "RoBERTa"):
-        tokenizerPath = "s-nlp/roberta_toxicity_classifier"
-        modelPath = "s-nlp/roberta_toxicity_classifier"
+    tokenizerPath = "s-nlp/roberta_toxicity_classifier"
+    modelPath = "s-nlp/roberta_toxicity_classifier"
 elif (option == "DistilBERT"):
-        tokenizerPath = "citizenlab/distilbert-base-multilingual-cased-toxicity"
-        modelPath = "citizenlab/distilbert-base-multilingual-cased-toxicity"
+    tokenizerPath = "citizenlab/distilbert-base-multilingual-cased-toxicity"
+    modelPath = "citizenlab/distilbert-base-multilingual-cased-toxicity"
 elif (option == "XLM-RoBERTa"):
-        tokenizerPath = "unitary/multilingual-toxic-xlm-roberta"
-        modelPath = "unitary/multilingual-toxic-xlm-roberta"
+    tokenizerPath = "unitary/multilingual-toxic-xlm-roberta"
+    modelPath = "unitary/multilingual-toxic-xlm-roberta"
 else:
-        tokenizerPath = "s-nlp/roberta_toxicity_classifier"
-        modelPath = "s-nlp/roberta_toxicity_classifier"
+    tokenizerPath = "s-nlp/roberta_toxicity_classifier"
+    modelPath = "s-nlp/roberta_toxicity_classifier"
 
 tokenizer = AutoTokenizer.from_pretrained(tokenizerPath)
 model = AutoModelForSequenceClassification.from_pretrained(modelPath)