app.py

import pandas as pd
import gradio as gr
import joblib

# تحميل الأكواد المحفوظة
le = joblib.load('le_col.pkl')
std = joblib.load('std_col.pkl')
lg = joblib.load('lg.pkl')

le_col = ['gender','education','region','loyalty_status','purchase_frequency','product_category']
std_col = ['age','income','purchase_amount','promotion_usage','satisfaction_score']

def Prediction_will_purchase_again_Model(a,g,i,e,r,l,p,pp,c,u,s):
    try:
        input_data = pd.DataFrame({
            'age':[a],
            'gender':[g],
            'income':[i],
            'education':[e],
            'region':[r],
            'loyalty_status':[l],
            'purchase_frequency':[p],
            'purchase_amount':[pp],
            'product_category':[c],
            'promotion_usage':[u],
            'satisfaction_score':[s]
        })

        # Label Encoding
        for col in le_col:
            input_data[col] = le[col].transform(input_data[col])
        
        # Standardization
        input_data[std_col] = std.transform(input_data[std_col])

        # Predict using probability + threshold
        prob = lg.predict_proba(input_data)[:,1][0]
        threshold = 0.4  # غيره حسب النتيجة اللي عايزها
        if prob >= threshold:
            return f'Yes (Prob={prob:.2f})'
        else:
            return f'No (Prob={prob:.2f})'
    except Exception as e:
        return str(e)

# Gradio Interface
gr.Interface(
    fn=Prediction_will_purchase_again_Model,
    inputs=[
        gr.Number(label='age'),
        gr.Dropdown(['Male','Female'],label='gender'),
        gr.Number(label='income'),
        gr.Dropdown(['Bachelor', 'Masters', 'HighSchool', 'College'],label='education'),
        gr.Dropdown(['East', 'West', 'South', 'North'],label='region'),
        gr.Dropdown(['Gold', 'Regular', 'Silver'],label='loyalty_status'),
        gr.Dropdown(['frequent', 'rare', 'occasional'],label='purchase_frequency'),
        gr.Number(label='purchase_amount'),
        gr.Dropdown(['Books', 'Clothing', 'Food', 'Electronics', 'Home', 'Beauty','Health'],label='product_category'),
        gr.Number(label='promotion_usage'),
        gr.Number(label='satisfaction_score')
    ],
    title='Prediction_will_purchase_again_Model',
    outputs=gr.Textbox(label='Prediction')
).launch()