Error in deployment with streamlit

Question

import pandas as pd
import numpy as np
import streamlit as st
import pickle
from PIL import Image

pickle_in = open(r"C:\Users\MAYUR\Desktop\Logistic Regression\Reg_model.pkl", 'rb')
classifier = pickle.load(pickle_in)

def welcome():
return 'welcome all'

def prediction(Sex, Age, SibSp, Parch):

prediction = classifier.predict([[Sex, Age, SibSp, Parch]])
print(prediction)
return prediction

def Main():
st.title('Titanic predictions')

Sex = st.text_input("Sex",': M=1,F=0')
Age = st.text_input("Age")
SibSp = st.text_input("SibSp")
Parch = st.text_input("Parch")
result =""

if st.button("Predict"):
result = prediction(Sex, Age, SibSp, Parch)
st.success('The output is {}'.format(result))

if __name__=='__Main__':
Main()

Answer 1

is there a space in the path?
did you try to copy that file into the project's folder? and then add a relative path....

classifier.predict() — is it not in scikit-learn?