Delete app.py

app.py

@@ -1,71 +0,0 @@
-import gradio as gr
-import pandas as pd
-import numpy as np
-import pickle
-
-# Load trained model safely
-with open("dynamic_pricing_model.pkl", "rb") as f:
-    model = pickle.load(f)
-
-def predict_dynamic_pricing(
-    zone_id, demand, supply, driver_availability,
-    weather_factor, event_factor, temperature, traffic_index,
-    distance_km, duration_min, base_fare,
-    hour, day_of_week, is_weekend, rate_per_km=6
-):
-
-    demand_supply_ratio = np.clip(demand / (supply + 1), 0, 3)
-
-    row = pd.DataFrame([{
-        "zone_id": zone_id,
-        "hour": hour,
-        "day_of_week": day_of_week,
-        "is_weekend": is_weekend,
-        "demand": demand,
-        "supply": supply,
-        "driver_availability": driver_availability,
-        "weather_factor": weather_factor,
-        "event_factor": event_factor,
-        "temperature": temperature,
-        "traffic_index": traffic_index,
-        "distance_km": distance_km,
-        "duration_min": duration_min,
-        "base_fare": base_fare,
-        "demand_supply_ratio": demand_supply_ratio
-    }])
-
-    surge = float(model.predict(row)[0])
-    base_price = base_fare + distance_km * rate_per_km
-    final_price = base_price * surge
-
-    return base_price, surge, final_price
-
-
-demo = gr.Interface(
-    fn=predict_dynamic_pricing,
-    inputs=[
-        gr.Number(label="Zone ID"),
-        gr.Number(label="Demand"),
-        gr.Number(label="Supply"),
-        gr.Number(label="Driver Availability"),
-        gr.Number(label="Weather Factor"),
-        gr.Number(label="Event Factor"),
-        gr.Number(label="Temperature"),
-        gr.Number(label="Traffic Index"),
-        gr.Number(label="Distance (km)"),
-        gr.Number(label="Duration (min)"),
-        gr.Number(label="Base Fare"),
-        gr.Number(label="Hour"),
-        gr.Number(label="Day of Week"),
-        gr.Number(label="Is Weekend")
-    ],
-    outputs=[
-        gr.Number(label="Base Price"),
-        gr.Number(label="Surge Factor"),
-        gr.Number(label="Final Dynamic Price")
-    ],
-    title="Dynamic Pricing Model",
-    description="AI-based real-time surge pricing."
-)
-
-demo.launch(server_name="0.0.0.0", server_port=7860)