Create app.py

app.py

@@ -0,0 +1,23 @@
+import streamlit as st
+import joblib
+
+# load the model
+model = joblib.load("Tesla_Elon_Regression_Model.pkl")
+
+# Load the model information
+model_info = joblib.load("model_info.pkl")
+
+st.title("Predict developer paycheck")
+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":
+        feature_values[feature] = st.number_input(f"Enter {feature}", min_value=0.0)
+    else:
+        feature_values[feature] = st.text_input(f"Enter {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]}")