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Create app.py
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app.py
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import pickle as pk
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import gradio as gr
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import numpy as np
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import pandas as pd
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from sklearn.linear_model import LinearRegression
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loaded_model = pk.load(open("score_predict.pkl", "rb"), encoding="bytes")
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def predict_my_score(hours_of_study):
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input_arr = [[hours_of_study]]
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y_predict_new = loaded_model.predict(input_arr)
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return int(y_predict_new[0][0])
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interface = gr.Interface(predict_my_score, title = "Predict My Score ",
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description = "Enter the hours you study per day and know your score.", inputs = "number", outputs = "number")
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interface.launch(share = True)
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