import gradio as gr
import pandas as pd
import pickle

# Modeli yükle
with open('creditcard.pkl', 'rb') as file:
    model = pickle.load(file)

# Tahmin fonksiyonu
def predict_fraud(Time, V1, V2, V3, V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, V25, V26, V27, V28, Amount):
    input_data = pd.DataFrame([[Time, V1, V2, V3, V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, V25, V26, V27, V28, Amount]], 
                              columns=['Time', 'V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount'])
    prediction = model.predict(input_data)[0]
    return 'Fraudulent' if prediction == 1 else 'Not Fraudulent'

# Gradio arayüzü
inputs = [gr.Number(label=col) for col in ['Time', 'V1', 'V2', 'V3', 'V4', 'V5', 'V6', 'V7', 'V8', 'V9', 'V10', 'V11', 'V12', 'V13', 'V14', 'V15', 'V16', 'V17', 'V18', 'V19', 'V20', 'V21', 'V22', 'V23', 'V24', 'V25', 'V26', 'V27', 'V28', 'Amount']]

outputs = gr.Textbox(label="Prediction")

gr.Interface(fn=predict_fraud, inputs=inputs, outputs=outputs, title="Credit Card Fraud Detection", description="Enter the transaction details to predict whether it is fraudulent or not.").launch(share=True)