我已经使用jupyter-notebook创建了一个 Jmeter 板，它当前正在我的本地主机上运行，使用命令

app = xpl.run_app(host="localhost",port=8050)

其中xpl是Shapash对象。
现在，我想通过公共互联网托管它，以便每个人都可以访问它。谁能帮助我如何将 Jmeter 板公开到互联网或AWS上？
如果有人对如何将场景重现到webapp感兴趣。你可以参考下面的代码：

import pandas as pd
from category_encoders import OrdinalEncoder
from shapash.data.data_loader import data_loading
from shapash.explainer.smart_explainer import SmartExplainer
from sklearn.ensemble import RandomForestRegressor
from sklearn.model_selection import train_test_split

# Read data
house_df, house_dict = data_loading('house_prices')
y_df = house_df['SalePrice'].to_frame()
X_df = house_df[house_df.columns.difference(['SalePrice'])]

# Convert Categorical into numerical
categorical_features = [col for col in X_df.columns if X_df[col].dtype == 'object']
encoder = OrdinalEncoder(cols=categorical_features).fit(X_df)
X_df=encoder.transform(X_df)

# Split data, train model and predict
Xtrain, Xtest, ytrain, ytest = train_test_split(X_df, y_df, train_size=0.75)
reg = RandomForestRegressor(n_estimators=200, min_samples_leaf=2).fit(Xtrain,ytrain)
y_pred = pd.DataFrame(reg.predict(Xtest), columns=['pred'], index=Xtest.index)

xpl = SmartExplainer(
    model=reg,
    preprocessing=encoder,
    features_dict=house_dict 
)

xpl.compile(
    x=Xtest,
    y_pred=y_pred,
    y_target=ytest,
)
# To display the webapp locally
app = xpl.run_app(host="localhost", port=8050)