Upload app.py

app.py

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+import streamlit as st
+import pickle
+import numpy as np
+
+model = pickle.load(open("heart_disease_model.pkl", "rb"))
+
+st.title("Heart Disease Prediction App")
+
+age = st.number_input("Enter Age", min_value=0, max_value=120)
+sex = st.selectbox("Select Gender", options=["Male", "Female"])
+chest_pain = st.selectbox("Chest Pain Type", options=[1, 2, 3, 4])
+blood_pressure = st.number_input("Enter Blood Pressure", min_value=0)
+cholesterol = st.number_input("Enter Cholesterol Level", min_value=0)
+blood_sugar = st.selectbox("Blood Sugar > 120 mg/dl?", options=[0, 1])
+electrocardiographic_result = st.selectbox("Electrocardiographic Result", options=[0, 1, 2])
+max_heart_rate = st.number_input("Enter Maximum Heart Rate", min_value=0)
+exercise_angina = st.selectbox("Exercise Induced Angina", options=[0, 1])
+oldpeak = st.number_input("Enter Oldpeak", min_value=0.0, max_value=6.0)
+slope = st.selectbox("Slope of the Peak Exercise ST Segment", options=[1, 2, 3])
+ca = st.selectbox("Number of Major Vessels Colored by Fluoroscopy", options=[0, 1, 2, 3])
+thalassemia = st.selectbox("Thalassemia", options=[3, 6, 7])
+
+if st.button("Predict"):
+    input_data = [
+        age,
+        1 if sex == "Male" else 0,
+        chest_pain,
+        blood_pressure,
+        cholesterol,
+        blood_sugar,
+        electrocardiographic_result,
+        max_heart_rate,
+        exercise_angina,
+        oldpeak,
+        slope,
+        ca,
+        thalassemia
+    ]
+    
+    # تحويل البيانات إلى مصفوفة ثنائية الأبعاد
+    input_data_reshape = np.asarray(input_data).reshape(1, -1)
+    
+    # التنبؤ
+    prediction = model.predict(input_data_reshape)
+    
+    prediction_text = "Heart Disease Detected" if prediction[0] == 1 else "No Heart Disease Detected"
+    
+    st.write(f"Prediction: {prediction_text}")