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import numpy as np | |
import gradio as gr | |
#function to predict the input hours | |
def predict_score(hours): | |
#hours = np.array(hours) | |
pred_score = -0.5738734424645411 + 2.1659122905141825*hours | |
return pred_score #np.round(pred_score[0], 2) | |
input = gr.inputs.Number(label='Number of Hours studied') | |
output = gr.outputs.Textbox(label='Predicted Score') | |
gr.Interface( fn=predict_score, | |
inputs=input, | |
outputs=output).launch(); | |