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import gradio as gr |
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import joblib |
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loaded_rf_2way = joblib.load("STPI_2WAY_RandomForest.joblib") |
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loaded_rf_3way = joblib.load("STPI_3WAY_RandomForest.joblib") |
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def STPI(t_0_5_MaxValue,t_1_0_MaxValue,t_2_0_MaxValue,Acc_0_5__1_0_MaxValue,Abs_Diff_t_0_5_MaxValue,Abs_Diff_t_1_0_MaxValue,Abs_Diff_t_2_0_MaxValue): |
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X = [t_0_5_MaxValue,t_1_0_MaxValue,t_2_0_MaxValue,Acc_0_5__1_0_MaxValue,Abs_Diff_t_0_5_MaxValue,Abs_Diff_t_1_0_MaxValue,Abs_Diff_t_2_0_MaxValue] |
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outcome_decoded = ['Normal','Keratoconic','Suspect'] |
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file_object = open('stpi_data.txt', 'a') |
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file_object.write(str(t_0_5_MaxValue)) |
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file_object.write(';') |
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file_object.write(str(t_1_0_MaxValue)) |
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file_object.write(';') |
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file_object.write(str(t_2_0_MaxValue)) |
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file_object.write(';') |
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file_object.write(str(Acc_0_5__1_0_MaxValue)) |
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file_object.write(';') |
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file_object.write(str(Abs_Diff_t_0_5_MaxValue)) |
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file_object.write(';') |
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file_object.write(str(Abs_Diff_t_1_0_MaxValue)) |
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file_object.write(';') |
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file_object.write(str(Abs_Diff_t_2_0_MaxValue)) |
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file_object.write('\n') |
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file_object.close() |
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result_2way = loaded_rf_2way.predict([X]) |
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print('The patient is ', outcome_decoded[int(result_2way)], 'through the 2way method') |
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if result_2way == 0: |
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result_3way = loaded_rf_3way.predict([X]) |
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print('The patient is ', outcome_decoded[int(result_3way)], 'through the 3way method') |
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return "The patient is ", outcome_decoded[int(result_3way)], "through the 3way method" |
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return "The patient is ", outcome_decoded[int(result_2way)], "through the 2way method" |
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iface = gr.Interface(fn=STPI, |
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title='STPI Calculator', |
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description='Calculates the STPI through summarized tomographic parameters. Beta version by Jad Assaf MD and Prof. Shady Awwad', |
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inputs=["number", "number","number", "number","number", "number","number"], |
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outputs="text") |
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iface.launch(share=True) |
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