Create app.py

app.py

@@ -0,0 +1,22 @@
+import streamlit as st
+import pandas as pd
+import joblib
+
+pipe = joblib.load('wine_quality_prediction.pkl')
+
+def get_user_input():
+    input_dict = {}
+    for feat in selected_features:
+        input_value = st.number_input(f"Enter {feat} value", value=0.0, step=0.01)
+        input_dict[feat] = input_value
+    return pd.DataFrame([input_dict])
+
+
+st.title("Wine Quality Prediction")
+
+user_input = get_user_input()
+
+prediction = pipe.predict(user_input)
+
+st.subheader("Prediction")
+st.write(prediction[0])