Create app.py

app.py

@@ -0,0 +1,24 @@
+import pandas as pd,numpy as np
+import pickle
+import streamlit as st
+
+st.title("User Behavior Using Mobile Prediction")
+model_2 = pickle.load(open(r"C:\Users\Dell\Downloads\rfc.pkl","rb")) #pickle file path
+
+if st.button("Submit"):
+    result = model_2.predict([[]])
+    st.write(f"The predicted price of the rental house is {result}")
+    
+
+# age = st.number_input("Enter age",min_value=0,max_value=1000,step=1,format="%d" )
+# gender = st.radio("Enter gender",['Male','Female'])
+# chestpain = st.selectbox("chestpain",['non-anginal_pain', 'typical_angina', 'atypical_angina','asymptomatic'])
+# restingBP =  st.number_input("Enter BP",min_value=0,max_value=1000,step=1,format="%d")
+# serum_cholesterol = st.number_input("Enter serum_cholesterol",min_value=0,max_value=10000,step=1,format="%d")
+# fasting_blood_sugar = st.radio("Enter fasting_blood_sugar",['yes','no'])
+# restingrelectro= st.selectbox("Enter resting_electro",['ST-T_wave_abnormality', 'normal', 'left_ventricular_hypertrophy'])
+# maxheartrate = st.number_input("Enter max_heart_rate",min_value=0,max_value=1000,step=1,format="%d")
+# exerciseangia =  st.radio("Enter exercise_angia",['yes','no'])
+# oldpeak= st.number_input("Enter oldpeak")
+# slope = st.selectbox("Enter slope",['downsloping', 'upsloping', 'flat'])
+# noofmajorvessels = st.selectbox("enter number of major vessels",['Three', 'One', 'Zero', 'Two'])