Upload app.py

app.py

@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Sat Apr 23 20:23:23 2022
+
+@author: kbpat
+"""
+
+import pandas as pd
+import streamlit as st 
+df1= pd.read_excel("INDIA INFLATION RATE.xlsx",names=('Year','IR','AC'),parse_dates=[0])  
+from statsmodels.tsa.stattools import adfuller
+
+def adf_test(dataset):
+  dftest = adfuller(dataset, autolag = 'AIC')
+  print("1. ADF : ",dftest[0])
+  print("2. P-Value : ", dftest[1])
+  print("3. Num Of Lags : ", dftest[2])
+  print("4. Num Of Observations Used For ADF Regression and Critical Values Calculation :", dftest[3])
+  print("5. Critical Values :")
+  for key, val in dftest[4].items():
+      print("\t",key, ": ", val)
+adf_test(df1['IR'])
+from pmdarima import auto_arima
+import warnings
+warnings.filterwarnings("ignore")
+stepwise_fit = auto_arima(df1['IR'], trace=True,
+                          suppress_warnings=True)
+stepwise_fit.summary() 
+prediction=stepwise_fit.predict() 
+print(prediction)
+
+def main():
+    st.title("Model Deployment:Inflation Rate")
+    html_temp = """
+    <div style="background-color:tomato;padding:10px">
+    <h2 style="color:white;text-align:center;"> INFLATION RATE </h2>
+    </div>
+    """
+    st.markdown(html_temp,unsafe_allow_html=True)
+    Inflation = st.text_input("Inflation","Type Here")
+    Year = st.text_input("Year","Type Here")
+    result=""
+    if st.button("Predict"):
+        result=prediction
+    st.success('The output is {}'.format(result))
+    if st.button("About"):
+        st.text("https://www.macrotrends.net/countries/IND/india/inflation-rate-cpi")
+        st.text("Built with Streamlit")
+
+if __name__=='__main__':
+    main()
+    
+    
+    
+    
+