Getting No Module find after deploying my streamlit app

Deployment
1

This is my Loanpred_frontend.py file
import streamlit as st
import pandas as pd
import numpy as np
from pathlib import Path
import os
import sys

Define the root directory of the package one level up from the current file’s directory

PACKAGE_ROOT = Path(os.path.abspath(os.path.dirname(file))).parent

Add the package root directory to the system path to allow importing from the prediction_model package

sys.path.append(str(PACKAGE_ROOT))

from prediction_model.config import config
from prediction_model.processing.data_handling import load_pipeline

Load the pre-trained classification pipeline from the specified model file

try:
classification_pipeline = load_pipeline(config.MODEL_NAME)
except Exception as e:
st.error(f"Error loading the model: {e}")

Define the function to generate predictions

def generate_predictions(data_input):
try:
data = pd.DataFrame(data_input)
pred = classification_pipeline.predict(data[config.FEATURES])
output = np.where(pred == 1, ‘Y’, ‘N’)
result = {“prediction”: output}
return result
except Exception as e:
st.error(f"Error generating predictions: {e}")
return None

Streamlit app

st.title(“:bank: Loan Eligibility Prediction :bank:”)

Input fields for the features with try-except blocks

try:
Gender = st.selectbox(“Gender”, [“Male”, “Female”])
except Exception as e:
st.error(f"Error with input Gender: {e}")

try:
Married = st.selectbox(“Married”, [“Yes”, “No”])
except Exception as e:
st.error(f"Error with input Married: {e}")

try:
Dependents = st.selectbox(“Dependents”, [“0”, “1”, “2”, “3+”])
except Exception as e:
st.error(f"Error with input Dependents: {e}")

try:
Education = st.selectbox(“Education”, [“Graduate”, “Not Graduate”])
except Exception as e:
st.error(f"Error with input Education: {e}")

try:
Self_Employed = st.selectbox(“Self Employed”, [“Yes”, “No”])
except Exception as e:
st.error(f"Error with input Self_Employed: {e}")

try:
ApplicantIncome = st.number_input(“Applicant Income”, min_value=0)
except Exception as e:
st.error(f"Error with input Applicant Income: {e}")

try:
CoapplicantIncome = st.number_input(“Coapplicant Income”, min_value=0)
except Exception as e:
st.error(f"Error with input Coapplicant Income: {e}")

try:
LoanAmount = st.number_input(“Loan Amount”, min_value=0)
except Exception as e:
st.error(f"Error with input Loan Amount: {e}")

try:
Loan_Amount_Term = st.number_input(“Loan Amount Term”, min_value=0)
except Exception as e:
st.error(f"Error with input Loan Amount Term: {e}")

try:
Credit_History = st.selectbox(“Credit History”, [0, 1])
except Exception as e:
st.error(f"Error with input Credit History: {e}")

try:
Property_Area = st.selectbox(“Property Area”, [“Urban”, “Semiurban”, “Rural”])
except Exception as e:
st.error(f"Error with input Property Area: {e}")

Collect input data into a dictionary

input_data = {
“Gender”: [Gender],
“Married”: [Married],
“Dependents”: [Dependents],
“Education”: [Education],
“Self_Employed”: [Self_Employed],
“ApplicantIncome”: [ApplicantIncome],
“CoapplicantIncome”: [CoapplicantIncome],
“LoanAmount”: [LoanAmount],
“Loan_Amount_Term”: [Loan_Amount_Term],
“Credit_History”: [Credit_History],
“Property_Area”: [Property_Area]
}

Custom CSS for button styling

st.markdown(“”"

.stButton button {
background-color: #6a0dad; /* Purple color /
color: #000000; / Black text color /
border: none;
border-radius: 5px;
padding: 10px 20px;
font-size: 16px;
font-weight: bold;
cursor: pointer;
}
.stButton button:hover {
background-color: #5c0ba1; / Darker purple on hover */
}

“”", unsafe_allow_html=True)

Button to get predictions

if st.button(“Predict”):
prediction = generate_predictions(input_data)
if prediction:
if prediction[“prediction”][0] == ‘Y’:
st.success(“Loan Status Approved”, icon=“:white_check_mark:”)
else:
st.error(“Loan Status Rejected”, icon=“:x:”)

Command to run the app

#if name == ‘main’:

os.system(‘streamlit run app.py’)

Here is my Requirement.text file
#Model -Building Requirements

numpy==1.26.4

pandas==2.2.2

joblib==1.4.2

scikit-learn==1.4.2

scipy==1.13.1

setuptools==69.5.1

wheel==0.43.0

pytest==7.4.4

streamlit

Github Source Link : GitHub - Ayush04H/Loan-Predication

Please Provide Fixes

2

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