app.py

import gradio as gr
import joblib
from huggingface_hub import hf_hub_download
import xgboost as xgb
import numpy as np

# 从 Hugging Face 下载模型
model_path = hf_hub_download(repo_id="YDluffy/lottery_prediction", filename="lottery_xgboost_model.json")
model = xgb.XGBRegressor()
model.load_model(model_path)

# 预测函数
def predict_lottery(year, period, num1, num2, num3, num4, num5, num6, special):
    features = np.array([[year, period, num1, num2, num3, num4, num5, num6, special]])
    prediction = model.predict(features)
    return prediction

# 创建 Gradio Web 界面
iface = gr.Interface(
    fn=predict_lottery,
    inputs=[
        gr.Number(label="年份"), gr.Number(label="期数"),
        gr.Number(label="号码1"), gr.Number(label="号码2"), gr.Number(label="号码3"),
        gr.Number(label="号码4"), gr.Number(label="号码5"), gr.Number(label="号码6"),
        gr.Number(label="特别号码")
    ],
    outputs="text",
    title="六合彩预测模型",
    description="输入期号和历史开奖号码，预测下一期开奖"
)

iface.launch()