Upload 5 files

app.py

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+import streamlit as st
+import pickle
+from PIL import Image
+
+
+ok = Image.open('ok.jpg')
+not_ok = Image.open("notok.jpg")
+
+
+st.write ('''
+
+## Heart Health Predictor
+''')
+
+age = st.number_input('Enter your age', min_value= 0, max_value= 100, step = 1)
+
+gender = st.selectbox(
+    'Gender',
+    ('Male', 'Female'))
+
+if gender == "Male":
+    gender_value = 1
+else:
+    gender_value = 0
+
+bp = st.number_input('Enter your BP', value= 120, step = 1)
+cholestrol = st.number_input('Enter your Cholestrol', value= 100, step = 1)
+
+
+data = [[age, gender_value, bp, cholestrol]]
+
+#load models
+# @st.cache_data(allow_output_mutation = True)
+def cache_model(path):
+    model = pickle.load(open(path, 'rb'))
+    return (model)
+
+heart_model = cache_model("model.pkl")
+
+if st.button('Predict'):
+    result = heart_model.predict(data)
+    if result == 1:
+        st.image(not_ok)
+        st.write("## Please visit a cardiologist")
+
+    else:
+        st.image(ok)
+        st.write("## Great!, You are at no risk")
+
+
+

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0be10a1f4ee28e9dd105b9b2614e5780717958e8b11b375f79619b447bc343c2
+size 321712

requirements.txt

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+streamlit == 1.21.0
+Pillow == 9.5.0
+scikit-learn == 1.2.2