Create app.py

app.py

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+import streamlit as st
+from datetime import date
+import numpy as np
+import pandas as pd
+import joblib
+
+# web page
+# tittle 
+st.title('Favorita Store Sales Prediction APP with Facebook Prophet')
+st.markdown('this predict sales')
+
+
+# data loading
+best_model= joblib.load('saved_ml.joblib')
+
+# inputs
+st.header('make a forecast here:')
+ds= st.date_input(label='Please enter your forecast date')
+transactions= st.number_input(label='Please enter your total expected number of transactions')
+onpromotion= st.number_input(label='Please enter total number of items on promotion')
+ 
+ 
+# input dataframe
+ok= st.button('forecast sales')
+if ok:
+    input_data= [ds,onpromotion,transactions]
+    inputs= pd.DataFrame([input_data],columns=['ds','onpromotion','transactions'])
+    # making Prediction
+    forecast=model.predict(inputs)
+    output_values=forecast['yhat']
+    st.success (f'the estimated forecast sales ${output_values.values[0]:.2f}')
+
+
+