app.py

import gradio as gr
import pandas as pd
import numpy as np
import joblib
import random

# MODEL
model = joblib.load("DeliveryTime.pkl")
model_features = joblib.load("DTFeatures.pkl")

# ---------------------------
# RANDOM GENERATOR
# ---------------------------
def generate_driver():
    return {
        "age": random.randint(18, 50),
        "rating": round(random.uniform(3.5, 5.0), 2),
        "vehicle": random.randint(1, 5),
        "deliveries": random.randint(0, 3)
    }

# ---------------------------
# YEMEK → PREP TIME
# ---------------------------
def get_prep_time(food):
    prep_map = {
        "Pizza": random.randint(15, 25),
        "Burger": random.randint(10, 20),
        "Sushi": random.randint(20, 35),
        "Kebab": random.randint(15, 30),
        "Dessert": random.randint(5, 15)
    }
    return prep_map.get(food, 15)

# ---------------------------
# PREDICT
# ---------------------------
def predict(food, distance, traffic, weather, weekend):

    driver = generate_driver()
    prep_time = get_prep_time(food)

    df = pd.DataFrame([{
        "Delivery_person_Age": driver["age"],
        "Delivery_person_Ratings": driver["rating"],
        "distance": distance,
        "Vehicle_condition": driver["vehicle"],
        "multiple_deliveries": driver["deliveries"],
        "Road_traffic_density": traffic,
        "Weatherconditions": weather,
        "prep_time": prep_time,
        "is_weekend": weekend
    }])

    df = pd.get_dummies(df)
    df = df.reindex(columns=model_features, fill_value=0)

    pred = model.predict(df)[0]

    return f"""
🚴 Courier Info:
- Age: {driver['age']}
- Rating: {driver['rating']}
- Vehicle Condition: {driver['vehicle']}
- Active Deliveries: {driver['deliveries']}

🍽️ Food: {food}
⏱️ Prep Time: {prep_time} min

🚚 Estimated Delivery Time:
👉 {round(pred,2)} minutes
"""

# ---------------------------
# UI
# ---------------------------
interface = gr.Interface(
    fn=predict,
    inputs=[
        gr.Dropdown(["Pizza","Burger","Sushi","Kebab","Dessert"], label="Food Type"),
        gr.Number(label="Distance"),
        gr.Dropdown(["Low","Medium","High","Jam"], label="Traffic"),
        gr.Dropdown(["Sunny","Stormy","Fog","Sandstorms"], label="Weather"),
        gr.Radio([0,1], label="Weekend")
    ],
    outputs="text",
    title="🚚 Delivery Simulator Game",
    description="Choose your order → system generates courier → predict delivery time"
)

interface.launch()