XPMaster/ri_optimization

1import pandas as pd2import numpy as np3import matplotlib.pyplot as plt4import seaborn as sns5from scipy.stats import nbinom, poisson, gamma, weibull_min, invgauss, lognorm, pareto6from scipy.stats import kstest, chisquare7from scipy.stats import nbinom, poisson, chi28import statsmodels.api as sm9import warnings10 11import os12 13import gradio as gr14 15def greet(name):16    return "Hello " + name + "!"17 18demo = gr.Interface(fn=greet, inputs="text", outputs="text")19demo.launch()