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