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app.py

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+import streamlit as st
+from model import predict_disease_risk  # Import the prediction function from model.py
+
+# Streamlit GUI
+st.title('Health Risk Prediction Based on Diet')
+
+# User inputs (as described in your previous code)
+# Include the Streamlit code for user inputs here
+# User inputs
+age = st.selectbox('Age', options=[...])  # Populate with age categories
+gender = st.selectbox('Gender', options=['Male', 'Female'])
+meals_per_day = st.number_input('Number of meals per day', min_value=1, max_value=10)
+diet = st.selectbox('Diet', options=['Pollotarian', 'Vegetarian', 'Pescatarian', 'Non-Vegetarian', 'Eggetarian'])
+skip_meals = st.selectbox('Do you skip meals?', options=['Never', 'Rarely', 'Sometimes', 'Often', 'Very frequently'])
+hunger = st.selectbox('Do you experience feelings of hunger during the day?', options=['Never', 'Rarely', 'Sometimes', 'Often', 'Very frequently'])
+nutritionist = st.selectbox('Do you consult a nutritionist?', options=['Never', 'Rarely', 'Sometimes', 'Often', 'Very frequently'])
+cook_meals = st.selectbox('Do you cook your own meals?', options=['Never', 'Rarely', 'Sometimes', 'Often', 'Very frequently'])
+main_meal = st.selectbox('Main meal of the day', options=['Breakfast', 'Lunch', 'Dinner', 'All'])
+diet_description = st.selectbox('Diet description', options=['Freshly home-cooked produce', 'Restaurant meals'])
+
+# Collect all inputs in a dictionary
+input_data = {
+    'Age': age,
+    'Gender': gender,
+    'How many meals do you have a day?': meals_per_day,
+    'What would best describe your diet': diet,
+    'Choose all that apply: [I skip meals]': skip_meals,
+    'Choose all that apply: [I experience feelings of hunger during the day]': hunger,
+    'Choose all that apply: [I consult a nutritionist/dietician]': nutritionist,
+    'Choose all that apply: [I cook my own meals]': cook_meals,
+    'What would you consider to be the main meal of YOUR day?': main_meal,
+    'What does your diet mostly consist of and how is it prepared?': diet_description,
+}
+
+
+# Prediction button
+if st.button('Predict Disease Risk'):
+    prediction = predict_disease_risk(input_data)
+    st.write(f'Predicted Disease Risk: {prediction}')

data.csv

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+Age,Gender,How many meals do you have a day? (number of regular occasions in a day when a significant and reasonably filling amount of food is eaten),What would best describe your diet:,Choose all that apply: [I skip meals],Choose all that apply: [I experience feelings of hunger during the day],Choose all that apply: [I consult a nutritionist/dietician],Choose all that apply: [I cook my own meals],What would you consider to be the main meal of YOUR day?,What does your diet mostly consist of and how is it prepared?,How many times a week do you order-in or go out to eat?,Are you allergic to any of the following? (Tick all that apply),What is your weekly food intake frequency of the following food categories: [Sweet foods],What is your weekly food intake frequency of the following food categories: [Salty foods],What is your weekly food intake frequency of the following food categories: [Fresh fruit],What is your weekly food intake frequency of the following food categories: [Fresh vegetables],"What is your weekly food intake frequency of the following food categories: [Oily, fried foods]",What is your weekly food intake frequency of the following food categories: [Meat],What is your weekly food intake frequency of the following food categories: [Seafood ],How frequently do you consume these beverages [Tea],How frequently do you consume these beverages [Coffee],How frequently do you consume these beverages [Aerated (Soft) Drinks],How frequently do you consume these beverages [Fruit Juices (Fresh/Packaged)],"How frequently do you consume these beverages [Dairy Beverages (Milk, Milkshakes, Smoothies, Buttermilk, etc)]",How frequently do you consume these beverages [Alcoholic Beverages],"What is your water consumption like (in a day, 1 cup=250ml approx)",Disease Risk
+18-24,Male,5,Pollotarian (Vegetarian who consumes poultry and white meat but no red meat),Rarely,Often,Never,Sometimes,Lunch,Freshly home-cooked produce,4,Milk,Less often,Once a day,Less often,Once a day,Less often,Often,Often,Never,Never,Less often,Never,Less often,Never,More than 15 cups,You are healthy
+18-24,Male,4,Vegetarian (No egg or meat),Rarely,Often,Rarely,Rarely,Lunch,Freshly home-cooked produce,1,I do not have any allergies,Often,Often,Less often,Often,Often,Never,Never,Less often,Never,Often,Once a day,Often,Never,11-14 cups,You are healthy
+45-54,Male,3,Pescatarian (Vegetarian who consumes only seafood),Never,Rarely,Never,Never,All,Freshly home-cooked produce,3,I do not have any allergies,Once a day,Several times a day,In every meal,In every meal,Less often,Never,Often,Once a day,Less often,Never,Less often,Once a day,Often,3 cups,High Risk
+18-24,Male,2,Non-Vegetarian,Often,Often,Never,Sometimes,Lunch,Freshly home-cooked produce,1,I do not have any allergies,Once a day,Once a day,Several times a day,In every meal,Few times a week,Once a day,Few times a week,Few times a week,Once a day,Once a month,Once a month,Few times a week,Never,7-10 cups,High Risk
+18-24,Female,3,Eggetarian (Vegetarian who consumes egg and egg products),Sometimes,Sometimes,Never,Often,Breakfast,Freshly home-cooked produce,1,I do not have any allergies,Few times a week,Few times a week,Once a day,In every meal,Few times a week,Never,Never,Never,Never,Once a month,Once a month,Once a day,Once a month,4-6 cups,You are healthy
+18-24,Female,3,Eggetarian (Vegetarian who consumes egg and egg products),Sometimes,Rarely,Never,Rarely,Lunch,Freshly home-cooked produce,1,I do not have any allergies,Once a month,Several times a day,Once a month,In every meal,Once a month,Never,Never,Once a day,Once a day,Once a month,Once a month,Once a day,Once a month,4-6 cups,You are healthy
+18-24,Male,3,Non-Vegetarian,Never,Never,Rarely,Sometimes,Breakfast,Freshly home-cooked produce,1,I do not have any allergies,Few times a week,Once a month,Several times a day,Several times a day,Once a month,In every meal,Once a month,Never,Once a month,Never,Few times a week,Few times a week,Never,More than 15 cups,You are healthy
+Above 65,Male,3,Pescatarian (Vegetarian who consumes only seafood),Never,Rarely,Never,Never,Lunch,Freshly home-cooked produce,2,I do not have any allergies,Once a day,Several times a day,Once a day,In every meal,Once a day,Never,Several times a day,Once a day,Never,Few times a week,Never,Few times a week,Never,More than 15 cups,Medium Risk
+Above 65,Female,2,Vegetarian (No egg or meat),Sometimes,Never,Never,Very frequently,Breakfast,Freshly home-cooked produce,1,I do not have any allergies,Several times a day,Several times a day,Once a day,In every meal,Few times a week,Never,Never,Once a day,Never,Never,Once a month,Once a day,Never,11-14 cups,You are healthy
+Under 18,Male,3,Eggetarian (Vegetarian who consumes egg and egg products),Never,Often,Never,Never,Lunch,Freshly home-cooked produce,2,I do not have any allergies,Few times a week,Once a day,In every meal,Several times a day,Several times a day,Never,Never,Never,Never,Once a month,Few times a week,Once a day,Never,4-6 cups,High Risk
+45-54,Female,3,Eggetarian (Vegetarian who consumes egg and egg products),Never,Sometimes,Rarely,Very frequently,Lunch,Freshly home-cooked produce,1,I do not have any allergies,Once a day,Several times a day,Once a day,Once a day,Once a day,Never,Never,Once a day,Several times a day,Once a month,Few times a week,Several times a day,Never,Less than 3 cups,High Risk
+18-24,Male,2,Non-Vegetarian,Often,Often,Never,Sometimes,Lunch,Restaurant meals,5,I do not have any allergies,Few times a week,Once a day,Once a day,Once a day,Few times a week,Few times a week,Once a month,Once a day,Few times a week,Once a day,Once a day,Few times a week,Once a month,4-6 cups,High Risk
+18-24,Male,4,Non-Vegetarian,Rarely,Never,Never,Rarely,Lunch,Freshly home-cooked produce,4,I do not have any allergies,Few times a week,Several times a day,Once a day,Once a day,Several times a day,Once a day,Once a month,Once a month,Once a month,Few times a week,Few times a week,Once a day,Once a month,11-14 cups,High Risk
+18-24,Female,3,Vegetarian (No egg or meat),Rarely,Never,Never,Never,Lunch,Freshly home-cooked produce,1,I do not have any allergies,Once a month,Few times a week,Once a month,Several times a day,Few times a week,Never,Never,Never,Once a day,Once a month,Once a month,Once a day,Never,4-6 cups,You are healthy
+18-24,Male,3,Non-Vegetarian,Rarely,Sometimes,Rarely,Rarely,Dinner,Freshly home-cooked produce,1,I do not have any allergies,Once a month,Once a day,Once a day,Once a day,Few times a week,Once a month,Never,Few times a week,Few times a week,Once a month,Never,Few times a week,Never,7-10 cups,You are healthy
+35-44,Female,3,Pescatarian (Vegetarian who consumes only seafood),Never,Sometimes,Never,Very frequently,Breakfast,Freshly home-cooked produce,1,I do not have any allergies,Few times a week,Few times a week,In every meal,In every meal,Few times a week,Once a month,Once a month,Once a day,Never,Never,Few times a week,Once a day,Never,4-6 cups,You are healthy
+45-54,Female,2,Vegetarian (No egg or meat),Rarely,Sometimes,Never,Very frequently,Breakfast,Freshly home-cooked produce,1,I do not have any allergies,Few times a week,Few times a week,Several times a day,Several times a day,Often,Never,Never,Once a day,Once a day,Never,Rarely,Never,Never,7-10 cups,Medium Risk
+45-54,Female,3,Non-Vegetarian,Rarely,Sometimes,Rarely,Very frequently,Breakfast,Freshly home-cooked produce,1,I do not have any allergies,In every meal,In every meal,In every meal,In every meal,Once a month,Once a day,Once a month,Once a month,Few times a week,Once a month,Never,Never,Once a month,3 cups,High Risk
+35-44,Female,2,Eggetarian (Vegetarian who consumes egg and egg products),Sometimes,Sometimes,Never,Sometimes,Lunch,Freshly home-cooked produce,2,I do not have any allergies,Once a day,In every meal,Several times a day,Several times a day,Few times a week,Never,Never,Several times a day,Never,Never,Few times a week,With every meal,Never,7-10 cups,Medium Risk
+18-24,Female,2,Vegetarian (No egg or meat),Sometimes,Rarely,Never,Sometimes,Dinner,Freshly home-cooked produce,1,I do not have any allergies,Never,Few times a week,Once a month,Several times a day,Once a day,Never,Never,Never,Once a day,Few times a week,Few times a week,Few times a week,Never,4-6 cups,You are healthy
+Under 18,Male,4,Vegetarian (No egg or meat),Sometimes,Often,Never,Never,Dinner,Freshly home-cooked produce,5,Onion,Few times a week,In every meal,Once a month,In every meal,Often,Never,Never,Once a day,Once a day,Never,Once a day,Once a day,Never,7-10 cups,High Risk
+Under 18,Female,2,Non-Vegetarian,Sometimes,Sometimes,Never,Rarely,Breakfast,Freshly home-cooked produce,1,I do not have any allergies,Few times a week,Few times a week,Once a day,Few times a week,Once a month,Few times a week,Few times a week,Never,Few times a week,Once a month,Once a day,Once a day,Never,4-6 cups,You are healthy
+Under 18,Male,3,Vegetarian (No egg or meat),Never,Sometimes,Never,Never,Breakfast,Freshly home-cooked produce,1,I do not have any allergies,Once a month,Few times a week,Once a day,Once a day,Few times a week,Never,Never,Never,Once a month,Never,Once a month,Few times a week,Never,4-6 cups,You are healthy
+Under 18,Male,3,Non-Vegetarian,Rarely,Never,Never,Rarely,Lunch,Freshly home-cooked produce,3,I do not have any allergies,Few times a week,Few times a week,Few times a week,Once a day,Few times a week,Once a day,Once a month,Once a month,Once a day,Once a month,Once a month,Once a month,Once a month,7-10 cups,Medium Risk
+Under 18,Male,4,Vegetarian (No egg or meat),Very frequently,Very frequently,Never,Never,Dinner,Freshly home-cooked produce,5,Curd,In every meal,In every meal,Once a month,In every meal,Several times a day,Never,Never,Never,Never,Never,Once a month,Few times a week,Never,4-6 cups,High Risk
+Under 18,Male,3,Vegetarian (No egg or meat),Rarely,Sometimes,Never,Very frequently,Lunch,Freshly home-cooked produce,1,I do not have any allergies,Once a month,Few times a week,Several times a day,Several times a day,Few times a week,Never,Never,Never,Once a month,Once a month,Never,Once a month,Never,7-10 cups,You are healthy
+Under 18,Male,4,Non-Vegetarian,Sometimes,Rarely,Never,Rarely,Breakfast,Freshly home-cooked produce,1,I do not have any allergies,Few times a week,Few times a week,Never,In every meal,Few times a week,Once a month,Never,Once a month,Never,Once a month,Once a month,Once a month,Never,7-10 cups,You are healthy
+18-24,Male,2,Vegetarian (No egg or meat),Sometimes,Sometimes,Never,Sometimes,Lunch,Freshly home-cooked produce,1,I do not have any allergies,Once a day,Once a day,Once a day,Once a day,Few times a week,Never,Never,Once a month,Once a day,Few times a week,Once a month,Few times a week,Never,4-6 cups,Medium Risk
+18-24,Male,2,Eggetarian (Vegetarian who consumes egg and egg products),Rarely,Often,Never,Rarely,Breakfast,Freshly home-cooked produce,5,I do not have any allergies,Once a day,Once a day,Once a day,Once a day,Few times a week,Never,Never,Never,Few times a week,Once a month,Few times a week,Few times a week,Once a day,4-6 cups,High Risk

model.py

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+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import LabelEncoder, StandardScaler
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.metrics import accuracy_score, classification_report
+import streamlit as st
+
+# Load the data
+@st.cache
+def load_data():
+    return pd.read_csv('data.csv')
+
+data = load_data()
+
+# Check for missing values (optional, but good practice)
+st.write("Checking for missing values...")
+missing_values = data.isnull().sum()
+st.write(missing_values)
+
+# Encode categorical variables
+label_encoders = {}
+for column in data.select_dtypes(include=['object']).columns:
+    le = LabelEncoder()
+    data[column] = le.fit_transform(data[column])
+    label_encoders[column] = le
+
+# Split the data into features and target
+X = data.drop(columns=['Disease Risk'])
+y = data['Disease Risk']
+
+# Standardize the features
+scaler = StandardScaler()
+X_scaled = scaler.fit_transform(X)
+
+# Split the data into training and testing sets
+X_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size=0.2, random_state=42)
+
+# Initialize the model
+model = RandomForestClassifier(n_estimators=100, random_state=42)
+
+# Train the model (optional to train here, but recommended to show steps)
+st.write("Training the model...")
+model.fit(X_train, y_train)
+
+# Make predictions (optional for initial run, but necessary for GUI)
+y_pred = model.predict(X_test)
+
+# Evaluate the model (optional, but good for understanding performance)
+accuracy = accuracy_score(y_test, y_pred)
+st.write(f'Model Accuracy: {accuracy}')
+st.write(classification_report(y_test, y_pred))
+
+# Function to get predictions
+def predict_disease_risk(input_data):
+    input_df = pd.DataFrame([input_data])
+    for column, le in label_encoders.items():
+        input_df[column] = le.transform(input_df[column])
+    input_scaled = scaler.transform(input_df)
+    prediction = model.predict(input_scaled)
+    return prediction[0]
+
+# Streamlit GUI
+st.title('Health Risk Prediction Based on Diet')
+
+# User inputs (simplified for demonstration, customize as needed)
+st.sidebar.title('User Input')
+
+age = st.sidebar.slider('Age', min_value=18, max_value=100, value=30)
+gender = st.sidebar.radio('Gender', ['Male', 'Female'])
+meals_per_day = st.sidebar.slider('Meals per Day', min_value=1, max_value=10, value=3)
+diet = st.sidebar.selectbox('Diet Type', ['Pollotarian', 'Vegetarian', 'Pescatarian', 'Non-Vegetarian', 'Eggetarian'])
+# Add more inputs based on your specific dataset columns
+
+input_data = {
+    'Age': age,
+    'Gender': gender,
+    'Meals per Day': meals_per_day,
+    'Diet Type': diet,
+    # Add more keys based on your specific dataset columns
+}
+
+# Prediction button
+if st.button('Predict Disease Risk'):
+    prediction = predict_disease_risk(input_data)
+    st.write(f'Predicted Disease Risk: {prediction}')