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import pickle
import pandas as pd
import gradio as gr
import sklearn
# Cargar el modelo
with open('modelo_search_2.pkl', 'rb') as f:
model = pickle.load(f)
def predict(mainline_moves, Opening, WhiteFideId, BlackFideId, WhiteElo, BlackElo):
df_model = pd.DataFrame({"mainline_moves":mainline_moves,
"Opening":Opening,
"WhiteFideId":WhiteFideId,
"BlackFideId":BlackFideId,
"WhiteElo": WhiteElo,
"BlackElo": BlackElo},
index= [0])
label_pred = model.predict(df_model)[0].item()
if label_pred == 0:
return "Gan贸 Blancas"
elif label_pred == 1:
return "Gan贸 Negras"
else:
return "Tablas"
# Definir los widgets de entrada
mainline_moves = gr.inputs.Number(label="Mainline Moves")
Opening = gr.inputs.Textbox(label="Opening")
WhiteFideId = gr.inputs.Textbox(label="White Fide ID")
BlackFideId = gr.inputs.Textbox(label="Black Fide ID")
WhiteElo = gr.inputs.Slider(label="White Elo",
minimum=0, maximum=3000, step=10,
default=2400)
BlackElo = gr.inputs.Slider(label="Black Elo",
minimum=0, maximum=3000, step=10,
default=2400)
# Definir la salida
output_label = gr.outputs.Label(num_top_classes=1, label="Resultado de la partida")
# Definir la interfaz
iface = gr.Interface(fn=predict,
inputs=[mainline_moves, Opening, WhiteFideId, BlackFideId, WhiteElo, BlackElo],
outputs=output_label,
title="Predicci贸n de partidas de Ajedrez",
theme=gr.themes.Soft(),
layout="horizontal",
allow_flagging=False,
description="Coloca los datos solicitados y descubre el resultado de la partida!")
# Ejecutar la interfaz
iface.launch() |