Update app.py

app.py

@@ -71,7 +71,7 @@ st.markdown("<h1 style='text-align: center; color: #1976D2;'>🎗️ Cancer Pred
 df = load_data()
 X_train, X_test, y_train, y_test, preprocess = preprocess_data(df)
 
-model_name = st.selectbox("Select Model", ['Decision Tree', 'SVM', 'Logistic Regression', 'KNN'])
+model_name = st.radio("Select Model", ['Decision Tree', 'SVM', 'Logistic Regression', 'KNN'])
 
 if st.button("Train Model"):
     model = train_model(X_train, y_train, preprocess, model_name)
@@ -85,13 +85,13 @@ st.markdown("<h2 style='color: #D32F2F;'>🔍 Make a Prediction</h2>", unsafe_al
 
 age = st.number_input("Age", min_value=18, max_value=100, value=30)
 tumor_size = st.number_input("Tumor Size", min_value=1.0, max_value=10.0, value=5.0)
-tumor_grade = st.selectbox("Tumor Grade", [1, 2, 3])
-symptoms_severity = st.selectbox("Symptoms Severity", [1, 2, 3])
-smoking_history = st.selectbox("Smoking History", [0, 1, 2])
-alcohol_consumption = st.selectbox("Alcohol Consumption", [0, 1, 2, 3])
-exercise_frequency = st.selectbox("Exercise Frequency", [0, 1, 2, 3])
-gender = st.selectbox("Gender", [0, 1])
-family_history = st.selectbox("Family History", [0, 1])
+tumor_grade = st.radio("Tumor Grade", [1, 2, 3])
+symptoms_severity = st.radio("Symptoms Severity", [1, 2, 3])
+smoking_history = st.radio("Smoking History", [0, 1, 2])
+alcohol_consumption = st.radio("Alcohol Consumption", [0, 1, 2, 3])
+exercise_frequency = st.radio("Exercise Frequency", [0, 1, 2, 3])
+gender = st.radio("Gender", [0, 1])
+family_history = st.radio("Family History", [0, 1])
 
 input_data = [[age, tumor_size, tumor_grade, symptoms_severity, smoking_history, 
                alcohol_consumption, exercise_frequency, gender, family_history]]