app.py

import gradio as gr
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.preprocessing import LabelEncoder

# 1. Load the cleaned dataset
df = pd.read_csv('cleaned_titanic_dataset.csv')

# Encode the 'Sex' column into numbers (Male=1, Female=0) so the model can read it
le = LabelEncoder()
df['Sex'] = le.fit_transform(df['Sex'])

# 2. Define features and target
features = ['Pclass', 'Sex', 'Age', 'SibSp', 'Parch', 'Fare']
X = df[features]
y = df['Survived']

# 3. Train a quick Random Forest model
model = RandomForestClassifier(random_state=42)
model.fit(X, y)

# 4. Define the prediction function that Gradio will use
def predict_survival(pclass, sex, age, sibsp, parch, fare):
    # Convert inputs to match the model's expectations
    sex_encoded = 1 if sex == "Male" else 0
    input_data = pd.DataFrame([[pclass, sex_encoded, age, sibsp, parch, fare]], columns=features)
    
    # Make prediction
    prediction = model.predict(input_data)[0]
    probability = model.predict_proba(input_data)[0][prediction]
    
    result = "Survived" if prediction == 1 else "Did Not Survive"
    return f"Prediction: {result}\nConfidence: {probability:.2%}"

# 5. Build the Gradio Interface
interface = gr.Interface(
    fn=predict_survival,
    inputs=[
        gr.Radio(choices=[1, 2, 3], label="Passenger Class (1=1st, 2=2nd, 3=3rd)"),
        gr.Radio(choices=["Male", "Female"], label="Sex"),
        # Note: Since we normalized Age and Fare in Colab, the inputs here should be between 0 and 1
        gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label="Normalized Age (0 to 1)"),
        gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label="Normalized SibSp (0 to 1)"),
        gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label="Normalized Parch (0 to 1)"),
        gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label="Normalized Fare (0 to 1)")
    ],
    outputs=gr.Text(label="Survival Prediction"),
    title="Titanic Survival Predictor",
    description="Enter normalized passenger details to predict if they would have survived the Titanic disaster."
)

# Launch the app
if __name__ == "__main__":
    interface.launch()