Upload 3 files

app.py

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+import gradio as gr
+import joblib
+import pandas as pd
+import numpy as np
+
+# Carga el modelo
+model = joblib.load("regression_model.joblib")
+
+def predecir(
+    vehicle_type,
+    pickup_location,
+    drop_location,
+    avg_vtat,
+    avg_ctat,
+    booking_value,
+    ride_distance,
+    driver_ratings,
+    customer_rating,
+    payment_method,
+    datetime,
+    hour_of_day,
+    day_of_week,
+    is_weekend,
+    is_rush_hour
+):
+    data = pd.DataFrame([{
+        "Vehicle Type": vehicle_type,
+        "Pickup Location": pickup_location,
+        "Drop Location": drop_location,
+        "Avg VTAT": avg_vtat,
+        "Avg CTAT": avg_ctat,
+        'Booking Value': booking_value,
+        "Ride Distance": ride_distance,
+        "Driver Ratings": driver_ratings,
+        "Customer Rating": customer_rating,
+        "Payment Method": payment_method,
+        "Datetime": datetime,
+        "Hour_of_Day": hour_of_day,
+        "Day_of_Week": day_of_week,
+        "Is_Weekend": is_weekend,
+        "Is_Rush_Hour": is_rush_hour,
+    }])
+    pred = model.predict(data)[0]
+    return "🚫 Viaje Cancelado" if pred == 1 else "✅ Viaje Completado"
+
+inputs = [
+    gr.Textbox(label="Vehicle Type"),
+    gr.Textbox(label="Pickup Location"),
+    gr.Textbox(label="Drop Location"),
+    gr.Number(label="Avg VTAT"),
+    gr.Number(label="Avg CTAT"),
+    gr.Number(label="Booking Value"),
+    gr.Number(label="Ride Distance"),
+    gr.Number(label="Driver Ratings"),
+    gr.Number(label="Customer Rating"),
+    gr.Textbox(label="Payment Method"),
+    gr.Textbox(label="Datetime (YYYY-MM-DD HH:MM:SS)"),
+    gr.Number(label="Hour_of_Day"),
+    gr.Textbox(label="Day_of_Week"),
+    gr.Checkbox(label="Is_Weekend"),
+    gr.Checkbox(label="Is_Rush_Hour")
+]
+
+outputs = gr.Textbox(label="Resultado del modelo")
+
+app = gr.Interface(
+    fn=predecir,
+    inputs=inputs,
+    outputs=outputs,
+    title="📊 Predicción de Viaje Cancelado",
+    description="Completa los datos para obtener la predicción del modelo.",
+    flagging_mode="never"
+)
+
+app.launch()

regression_model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:261e8ee246a730debd4a6f95322f081ba9f2bb7c06f4c581b15427f0808e8af5
+size 223109

requiremets.txt

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+gradio
+pandas
+numpy
+scikit-learn
+joblib