multiplediseaseprediction.py

import pickle
import streamlit as st
from streamlit_option_menu import option_menu


# loading the saved models

diabetes_model = pickle.load(open('diabetes_model.sav', 'rb'))

heart_disease_model = pickle.load(open('heart_disease_model.sav','rb'))

parkinsons_model = pickle.load(open('parkinsons_model.sav', 'rb'))



# sidebar for navigation
with st.sidebar:
    
    selected = option_menu('Multiple Disease Prediction System',
                          
                          ['Diabetes Prediction',
                           'Heart Disease Prediction',
                           'Parkinsons Prediction'],
                          icons=['activity','heart','person'],
                          default_index=0)
    
st.title("Multiple Disease Prediction System")
    
# Diabetes Prediction Page
if (selected == 'Diabetes Prediction'):
    
    # page title
    st.subheader('Diabetes Prediction')
    
    
    # getting the input data from the user
    col1, col2, col3 = st.columns(3)
    
    with col1:
        Pregnancies = st.text_input('Number of Pregnancies')
        
    with col2:
        Glucose = st.text_input('Glucose Level')
    
    with col3:
        BloodPressure = st.text_input('Blood Pressure value')
    
    with col1:
        SkinThickness = st.text_input('Skin Thickness value')
    
    with col2:
        Insulin = st.text_input('Insulin Level')
    
    with col3:
        BMI = st.text_input('BMI value')
    
    with col1:
        DiabetesPedigreeFunction = st.text_input('Diabetes Pedigree Function value')
    
    with col2:
        Age = st.text_input('Age of the Person')
    
    
    # code for Prediction
    diab_diagnosis = ''
    
    # creating a button for Prediction
    
    if st.button('Diabetes Test Result'):
        diab_prediction = diabetes_model.predict([[Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age]])
        
        if (diab_prediction[0] == 1):
          diab_diagnosis = 'The person is diabetic'
        else:
          diab_diagnosis = 'The person is not diabetic'
        
    st.success(diab_diagnosis)




# Heart Disease Prediction Page
if (selected == 'Heart Disease Prediction'):
    
    # page title
    st.subheader('Heart Disease Prediction')
    
    col1, col2, col3 = st.columns(3)
    
    with col1:
        age = st.text_input('Age')
        
    with col2:
        sex = st.text_input('Sex')
        
    with col3:
        cp = st.text_input('Chest Pain types')
        
    with col1:
        trestbps = st.text_input('Resting Blood Pressure')
        
    with col2:
        chol = st.text_input('Serum Cholestoral in mg/dl')
        
    with col3:
        fbs = st.text_input('Fasting Blood Sugar > 120 mg/dl')
        
    with col1:
        restecg = st.text_input('Resting Electrocardiographic results')
        
    with col2:
        thalach = st.text_input('Maximum Heart Rate achieved')
        
    with col3:
        exang = st.text_input('Exercise Induced Angina')
        
    with col1:
        oldpeak = st.text_input('ST depression induced by exercise')
        
    with col2:
        slope = st.text_input('Slope of the peak exercise ST segment')
        
    with col3:
        ca = st.text_input('Major vessels colored by flourosopy')
        
    with col1:
        thal = st.text_input('thal: 0 = normal; 1 = fixed defect; 2 = reversable defect')
        
        
     
     
    # code for Prediction
    heart_diagnosis = ''
    
    # creating a button for Prediction
    
    if st.button('Heart Disease Test Result'):
        heart_prediction = heart_disease_model.predict([[age, sex, cp, trestbps, chol, fbs, restecg,thalach,exang,oldpeak,slope,ca,thal]])                          
        
        if (heart_prediction[0] == 1):
          heart_diagnosis = 'The person is having heart disease'
        else:
          heart_diagnosis = 'The person does not have any heart disease'
        
    st.success(heart_diagnosis)
        
    
    

# Parkinson's Prediction Page
if (selected == "Parkinsons Prediction"):
    
    # page title
    st.subheader("Parkinson's Disease Prediction")
    
    col1, col2, col3, col4, col5 = st.columns(5)  
    
    with col1:
        fo = st.text_input('MDVP:Fo(Hz)')
        
    with col2:
        fhi = st.text_input('MDVP:Fhi(Hz)')
        
    with col3:
        flo = st.text_input('MDVP:Flo(Hz)')
        
    with col4:
        Jitter_percent = st.text_input('MDVP:Jitter(%)')
        
    with col5:
        Jitter_Abs = st.text_input('MDVP:Jitter(Abs)')
        
    with col1:
        RAP = st.text_input('MDVP:RAP')
        
    with col2:
        PPQ = st.text_input('MDVP:PPQ')
        
    with col3:
        DDP = st.text_input('Jitter:DDP')
        
    with col4:
        Shimmer = st.text_input('MDVP:Shimmer')
        
    with col5:
        Shimmer_dB = st.text_input('MDVP:Shimmer(dB)')
        
    with col1:
        APQ3 = st.text_input('Shimmer:APQ3')
        
    with col2:
        APQ5 = st.text_input('Shimmer:APQ5')
        
    with col3:
        APQ = st.text_input('MDVP:APQ')
        
    with col4:
        DDA = st.text_input('Shimmer:DDA')
        
    with col5:
        NHR = st.text_input('NHR')
        
    with col1:
        HNR = st.text_input('HNR')
        
    with col2:
        RPDE = st.text_input('RPDE')
        
    with col3:
        DFA = st.text_input('DFA')
        
    with col4:
        spread1 = st.text_input('spread1')
        
    with col5:
        spread2 = st.text_input('spread2')
        
    with col1:
        D2 = st.text_input('D2')
        
    with col2:
        PPE = st.text_input('PPE')
        
    
    
    # code for Prediction
    parkinsons_diagnosis = ''
    
    # creating a button for Prediction    
    if st.button("Parkinson's Test Result"):
        parkinsons_prediction = parkinsons_model.predict([[fo, fhi, flo, Jitter_percent, Jitter_Abs, RAP, PPQ,DDP,Shimmer,Shimmer_dB,APQ3,APQ5,APQ,DDA,NHR,HNR,RPDE,DFA,spread1,spread2,D2,PPE]])                          
        
        if (parkinsons_prediction[0] == 1):
          parkinsons_diagnosis = "The person has Parkinson's disease"
        else:
          parkinsons_diagnosis = "The person does not have Parkinson's disease"
        
    st.success(parkinsons_diagnosis)

def set_bg_from_url(url, opacity=1):
    
    footer = """
    <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.0/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-gH2yIJqKdNHPEq0n4Mqa/HGKIhSkIHeL5AyhkYV8i59U5AR6csBvApHHNl/vI1Bx" crossorigin="anonymous">
    <footer>
        <div style='visibility: visible;margin-top:7rem;justify-content:center;display:flex;'>
            <p style="font-size:1.1rem;">
                Made by Mohamed Shaad
                &nbsp;
                <a href="https://www.linkedin.com/in/mohamedshaad">
                    <svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="white" class="bi bi-linkedin" viewBox="0 0 16 16">
                        <path d="M0 1.146C0 .513.526 0 1.175 0h13.65C15.474 0 16 .513 16 1.146v13.708c0 .633-.526 1.146-1.175 1.146H1.175C.526 16 0 15.487 0 14.854V1.146zm4.943 12.248V6.169H2.542v7.225h2.401zm-1.2-8.212c.837 0 1.358-.554 1.358-1.248-.015-.709-.52-1.248-1.342-1.248-.822 0-1.359.54-1.359 1.248 0 .694.521 1.248 1.327 1.248h.016zm4.908 8.212V9.359c0-.216.016-.432.08-.586.173-.431.568-.878 1.232-.878.869 0 1.216.662 1.216 1.634v3.865h2.401V9.25c0-2.22-1.184-3.252-2.764-3.252-1.274 0-1.845.7-2.165 1.193v.025h-.016a5.54 5.54 0 0 1 .016-.025V6.169h-2.4c.03.678 0 7.225 0 7.225h2.4z"/>
                    </svg>          
                </a>
                &nbsp;
                <a href="https://github.com/shaadclt">
                    <svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="white" class="bi bi-github" viewBox="0 0 16 16">
                        <path d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.012 8.012 0 0 0 16 8c0-4.42-3.58-8-8-8z"/>
                    </svg>
                </a>
            </p>
        </div>
    </footer>
"""
    st.markdown(footer, unsafe_allow_html=True)
    
    
    # Set background image using HTML and CSS
    st.markdown(
        f"""
        <style>
            body {{
                background: url('{url}') no-repeat center center fixed;
                background-size: cover;
                opacity: {opacity};
            }}
        </style>
        """,
        unsafe_allow_html=True
    )

# Set background image from URL
set_bg_from_url("https://images.everydayhealth.com/homepage/health-topics-2.jpg?w=768", opacity=0.875)