app.py
Browse files
app.py
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# Input data
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x1 = torch.tensor([50, 60, 70, 80, 90])
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x2 = torch.tensor([20, 21, 22, 23, 24])
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import numpy as np
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import gradio as gr
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import torch
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#function to predict the input hours
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def predict_score(hours):
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#hours = np.array(hours)
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pred_score = -0.5738734424645411 + 2.1659122905141825*hours
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return pred_score #np.round(pred_score[0], 2)
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input = gr.inputs.x1(label='Number New Students')
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input = gr.inputs.x2(label='Number New Temperature')
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output = gr.outputs.Textbox(label='Predicted Score')
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gr.Interface( fn=predict_score,
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inputs=input,
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outputs=output).launch();
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# Input data
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x1 = torch.tensor([50, 60, 70, 80, 90])
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x2 = torch.tensor([20, 21, 22, 23, 24])
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