Update deployML.py

deployML.py

@@ -9,9 +9,10 @@ severity=pd.read_csv("Symptom-severity.csv")
 severity['Symptom'] = severity['Symptom'].str.replace('_',' ')
 precaution = pd.read_csv("symptom_precaution.csv")
 
-def predd(x,S1,S2,S3,S4,S5,S6,S7,S8,S9,S10,S11,S12,S13,S14,S15,S16,S17):
-    psymptoms = [S1,S2,S3,S4,S5,S6,S7,S8,S9,S10,S11,S12,S13,S14,S15,S16,S17]
+def predd(x,psymptoms):
     #print(psymptoms)
+    psymptoms.extend([0] * (17-len(psymptoms)))
+
     a = np.array(severity["Symptom"])
     b = np.array(severity["weight"])
     for j in range(len(psymptoms)):
@@ -27,11 +28,5 @@ def predd(x,S1,S2,S3,S4,S5,S6,S7,S8,S9,S10,S11,S12,S13,S14,S15,S16,S17):
     precuation_list=[]
     for i in range(1,len(precaution.iloc[c])):
           precuation_list.append(precaution.iloc[c,i])
-    print("The Disease Name: ",pred2[0])
-    print("The Disease Discription: ",disp)
-    print("Recommended Things to do at home: ")
-    for i in precuation_list:
-        print("   -",i)
-"""
-predd(loaded_rf,'high fever','sunken eyes','breathlessness',0,0,0,0,0,0,0,'sweating',0,0,0,0,0,0)
-"""
+    combined_info = f"The Disease Name: {pred2[0]}\nThe Disease Description: {disp}\nRecommended Things to do at home:"+''.join([f'\n   -{i}' for i in precuation_list])
+    return combined_info