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import gradio as gr
import pandas as pd
import numpy as np
import pickle
remote_df = pd.read_excel('test_df.xlsx')
def predict(x1, x2):
X = np.array([x1, x2], ndmin = 2)
with open('test_model.pkl', 'rb') as model:
clf = pickle.load(model)
y_pred = clf.predict(X)
return y_pred + remote_df['col1'][0]
demo = gr.Interface(
predict,
inputs = [gr.Number(), gr.Number()],
outputs = gr.Number(),
examples=[
],
title = 'Deploy Test'
)
demo.launch(share = True)
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