Update app.py

app.py

@@ -14,11 +14,11 @@ if con:
     res = classifier(text, candidate_labels=["offensive"])
     label = res['labels'][0]
     score = res['scores'][0]
-    st.write(f"Prediction: {label}, Score: {score:.2f}")
+    st.write(f"Prediction: {label}, Score: {score*100}% chance")
   
   if model == "cardiffnlp/twitter-roberta-base-offensive":
     classifier = pipeline('text-classification', model='cardiffnlp/twitter-roberta-base-offensive', tokenizer='cardiffnlp/twitter-roberta-base-offensive')
     result = classifier(text)
     label = result[0]['label']
     score = result[0]['score']
-    st.write(f"Prediction: {label}, Score: {score:.2f}")
+    st.write(f"Prediction: {label}, Score: {score*100}% chance")