# Load the model

model $=$ joblib.load$(\text{'}$random$\_$forest$\_$model.pkl$\text{'})$

import pandas as pd

import numpy as np

def predict$\_$heart$\_$disease$($input$\_$data$)$:

# Convert input data to DataFrame

input$\_$df $=$ pd$.$DataFrame$([$input$\_$data$],$ columns$=$X$.$columns$)$

# Preprocess the data

preprocessed$\_$data $=$ preprocessor.transform$($input$\_$df$)$

# Predict using the model

prediction $=$ model.predict$($preprocessed$\_$data$)$

# Return the prediction

return "Heart Disease" if prediction$[0]==1$ else $"$No Heart Disease"

import random

def predict$\_$heart$\_$disease$($input$\_$data$)$:

# Randomly generate a prediction

return random.choice$(["$Heart Disease", $"$No Heart Disease"$])$

def main$()$:

print$("$Heart Disease Prediction"$)$

# Collect user inputs

try:

age $=$ int$($input$("$Enter age: $"))$

sex $=$ int$($input$("$Enter sex $(1=$ male, $0=$ female$)$: $"))$

cp $=$ int$($input$("$Enter chest pain type $(1-4)$: $"))$

trestbps $=$ int$($input$("$Enter resting blood pressure $($in mm Hg$)$: $"))$

chol $=$ int$($input$("$Enter serum cholesterol $($in mg$/$dl$)$: $"))$

fbs $=$ int$($input$("$Enter fasting blood sugar $(1=$ true, $0=$ false$)$: $"))$

restecg $=$ int$($input$("$Enter resting electrocardiographic results $(0-2)$: $"))$

thalch $=$ int$($input$("$Enter maximum heart rate achieved: $"))$

exang $=$ int$($input$("$Enter exercise induced angina $(1=$ yes, $0=$ no$)$: $"))$

oldpeak $=$ float$($input$("$Enter depression induced by exercise relative to rest: $"))$

slope $=$ int$($input$("$Enter slope of the peak exercise ST segment $(1-3)$: $"))$

ca $=$ int$($input$("$Enter number of major vessels colored by fluoroscopy $(0-3)$: $"))$

thal $=$ int$($input$("$Enter thalassemia $(1=$ normal, $2=$ fixed defect, $3=$ reversable defect$)$: $"))$

# Prepare input data

input$\_$data $=\{$

'age': age,

'sex': sex,

$\text{'}$cp$\text{'}$: cp$,$

'trestbps': trestbps,

'chol': chol,

$\text{'}$fbs$\text{'}$: fbs$,$

'restecg': restecg,

'thalch': thalch,

'exang': exang,

'oldpeak': oldpeak,

'slope': slope,

$\text{'}$ca$\text{'}$: ca$,$

'thal': thal

$\}$

# Predict and display result

result $=$ predict$\_$heart$\_$disease$($input$\_$data$)$

print$($f$"$Prediction: $\{$result$\}")$

except ValueError:

# Handle incorrect input without printing errors

print$("$Invalid input. Please enter numeric values where required."$)$

if $\_\_$name$\_\_=="\_\_$main$\_\_"$:

main$()$

Explain the code