Update app.py

app.py

@@ -2,22 +2,22 @@ import streamlit as st
 import joblib
 
 # load the model
-model = joblib.load("Tesla_Elon_Regression_Model.pkl")
+model = joblib.load("Coder-Paycheck-Predict-Model.pkl")
 
 # Load the model information
 model_info = joblib.load("model_info.pkl")
 
-st.title("Predict developer paycheck")
+st.title("Predict Developer Salary")
 st.write("Predict developer salaries based on a Stack Overflow dataset")
 
 feature_values = {}
 for feature in model_info["features"]:
-    if feature is "yearsCode" or feature is "yearsCodePro":
+    if feature == "YearsCode" or feature == "YearsCodePro":
         feature_values[feature] = st.number_input(f"Enter {feature}", min_value=0.0)
     else:
-        feature_values[feature] = st.text_input(f"Enter {feature}")
+        feature_values[feature] = st.checkbox(f"{feature}")
 
 if st.button("Predict Salary"):
     input_features = [feature_values[feature] for feature in model_info["features"]]
     prediction = model.predict([input_features])[0]
-    st.write(f"Predicted Stock Price: {prediction[0]}")
+    st.write(f"Predicted Salary: {prediction[0]}")