Update app.py

app.py

@@ -64,6 +64,7 @@ def train_model(X_train, y_train, preprocess, model_name):
         'Logistic Regression': LogisticRegression(),
         'KNN': KNeighborsClassifier()
     }
+    
     model = models[model_name]
     pipeline = Pipeline([
         ('preprocessor', preprocess),
@@ -113,4 +114,4 @@ if st.button("🔮 Predict Cancer Presence"):
         
         st.write("Cancer Prediction:", "✅ Positive" if prediction[0] == 1 else "❌ Negative")
     else:
-        st.error("Please train a model first!")
+        st.error("Please train a model first!")