app.py

import joblib
import pandas as pd
import streamlit as st #<-

model = joblib.load('model.joblib') #<-
unique_values = joblib.load('unique_values.joblib') #<-

unique_Genre =  unique_values["Genre"]
unique_Certificate = unique_values["Certificate"]
unique_Director =  unique_values["Director"]

def main(): #<- defined main
    st.title("Rating Anime") #<- app name

    with st.form("questionaire"): #<- input from user 
        Genre=st.selectbox('Genre',options=unique_Genre) #<-
        Certificate=st.selectbox('Certificate',options=unique_Certificate) #<-
        Director=st.selectbox('Director',options=unique_Director) 
        Votes = st.slider('Votes',min_value=0, max_value=5000000) #<-
        Gross=st.slider('Gross',min_value=0.0,max_value=1000.0)#<-
        Metascore=st.slider('Metascore',min_value=0.0 ,max_value=100.0) #<-
        Year= st.number_input('Year',min_value=1900,max_value=2025) #<-
        Runtime=st.slider('Runtime',min_value=0.0,max_value=200.0) #<-
        # clicked==True only when the button is clicked
        clicked = st.form_submit_button("Predict Rating")
        if clicked:
            result=model.predict(pd.DataFrame({"Votes": [Votes],
                                               "Gross": [Gross],
                                               "Metascore":[Metascore],
                                               'Year':[Year],
                                               'Runtime':[Runtime],
                                               'Genre':[Genre],
                                               'Certificate':[Certificate],
                                               'Director':[Director]}))
            # Show prediction
            result= '8' if result[0]==8 else '7'
            #print report 
            st.success("Your predictor rating movie is "+result)
            
# Run main() 
#when import but dont wanna run main so..
if __name__== "__main__":
    main()