| import gradio as gr | |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| sns.set_style("darkgrid", | |
| {"grid.color": ".6", | |
| "grid.linestyle": ":"}) | |
| import category_encoders as ce | |
| from sklearn.decomposition import TruncatedSVD | |
| from sklearn.feature_extraction.text import TfidfVectorizer | |
| from sklearn.metrics.pairwise import cosine_similarity | |
| from sklearn.preprocessing import LabelEncoder | |
| from sklearn.preprocessing import OneHotEncoder | |
| def greet(name, str2): | |
| return "Hello " + name + "!!" + " str2=" + str2 | |
| iface = gr.Interface(fn=greet, inputs=["text", "text"], outputs="text") | |
| iface.launch() | |