| import gradio as gr | |
| import xgboost | |
| import pandas as pd | |
| import numpy as np | |
| xgb_reg = xgboost.XGBClassifier(tree_method = 'approx', | |
| enable_categorical = True, | |
| learning_rate=.1, | |
| max_depth=2, | |
| n_estimators=70, | |
| early_stopping_rounds = 0, | |
| scale_pos_weight=1) | |
| xgb_reg.load_model('classifier_fewer_features_HH.json') | |
| def greet(name): | |
| return "Hello " + name + "!!" | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() |