test.py

from tensorflow import keras
model = keras.model.load_model("./model.h5")
age = int(input("age: input age(only numbers) "))
sex = int(input("sex: input 1 for female and 0 for male(only numbers "))
cp = int(input("cp: input 0 for Asymptomatic, 1 for Atypical Angina, 2 for Nonanginal Pain, 3 for Typical Angina(only numbers) "))
trestbps = int(input("trestbps: input trestbps(only numbers) "))
chol = int(input("chol: input cholesterol(only numbers) "))
fbs= int(input("fbs: input 1 for True and 0 for False(only numbers "))
restecg=int(input("restecg: input 0 for Having ST-T wave abnormal, 1 for Hypertrophy, 2 for Normal(only numbers) "))
thalach = int(input("thalach: input thalach(only numbers) "))
exang = int(input("exang: input 1 for yes and 0 for No(only numbers "))
oldpeak = float(input("oldpeak: input the value for oldpeak"))
slope = int(input("slope: input 0 for Downsloping, 1 for Flat, 2 for Unisloping(only numbers) "))
ca = int(input("caa: input ca or coronary artery or size of coronary artery(only numbers) "))
thal = int(input("thal: input 0 for Fixed, 1 for Normal, 2 for Reversible defect(only numbers) "))
predlist = [[age,sex,cp,trestbps, chol,fbs,restecg,thalach,exang,oldpeak,slope,ca,thal]]
model.predict(predict)