Add application file

app.py

@@ -0,0 +1,45 @@
+# %%
+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]
+    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)], "through the 3way method"
+
+        
+    return "The patient is ", outcome_decoded[int(result_2way)], "through the 2way method"
+
+iface = gr.Interface(fn=STPI, 
+title='STPI Calculator',
+description='Calculates the STPI through summarized tomographic parameters. Beta version by Jad Assaf MD and Prof. Shady Awwad',
+inputs=["number", "number","number", "number","number", "number","number"],
+outputs="text")
+iface.launch(share=True)
+# %%