Update app.py

app.py

@@ -3,7 +3,7 @@ import joblib
 from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.calibration import CalibratedClassifierCV
 
-def predict_password_strength(model, vectorizer, password_input):
+def predictPasswordStrength(model, vectorizer, password_input):
     password_tfidf = vectorizer.transform([password_input])
     
     # Make predictions
@@ -25,7 +25,7 @@ model = joblib.load("helix-psa.pkl")
 vectorizer = joblib.load("helix-psa-vectorizer.pkl")
 
 demo = gr.Interface(
-    fn=generateNames,
+    fn=predictPasswordStrength,
     inputs=[gr.Textbox('Hello123', label='Password', info='The password to check the strength of', max_lines=1)],
     outputs=[gr.Dataframe(row_count = (2, "dynamic"), col_count=(3, "fixed"), label="Generated Names", headers=["Password", "Prediction", "Confidence"])],
     title='Helix - Password Strength Analyzer',