delete old python file

app.py

@@ -1,48 +0,0 @@
-# Import necessary libraries
-import streamlit as st
-import joblib
-
-# Load the trained model
-model = joblib.load("./model-3.joblib")
-
-# Define function to predict heart disease
-def predict_heart_disease(sex, exang, cp_1, cp_2, cp_4, slope_1, slope_2, thal_3, thal_7):
-    print([[sex, exang, cp_1, cp_2, cp_4, slope_1, slope_2, thal_3, thal_7]])
-    prediction = model.predict([[sex, exang, cp_1, cp_2, cp_4, slope_1, slope_2, thal_3, thal_7]])
-    return prediction
-
-# Create the Streamlit web application
-def main():
-    # Set title and description
-    st.title("Heart Disease Prediction")
-    st.write("This app predicts the presence of heart disease based on selected attributes.")
-
-    # Design user interface
-    sex = st.selectbox("Sex", ["Female", "Male"])
-    exang = st.selectbox("Exercise Induced Angina", ["No", "Yes"])
-    cp = st.selectbox("Chest Pain Type", ["Typical Angina", "Atypical Angina", "Non-Anginal Pain", "Asymptomatic"])
-    slope = st.selectbox("Slope of Peak Exercise ST Segment", ["Upsloping", "Flat", "Downsloping"])
-    thal = st.selectbox("Thal", ["Normal", "Fixed Defect", "Reversible Defect"])
-
-    # Map selected options to numerical values
-    sex_mapping = {"Female": 0, "Male": 1}
-    exang_mapping = {"No": 0, "Yes": 1}
-    cp_1_mapping = {"Typical Angina": 1, "Atypical Angina": 0, "Non-Anginal Pain": 0, "Asymptomatic": 0}
-    cp_2_mapping = {"Typical Angina": 0, "Atypical Angina": 1, "Non-Anginal Pain": 0, "Asymptomatic": 0}
-    cp_4_mapping = {"Typical Angina": 0, "Atypical Angina": 0, "Non-Anginal Pain": 0, "Asymptomatic": 1}
-    slope_1_mapping = {"Upsloping": 1, "Flat": 0, "Downsloping": 0}
-    slope_2_mapping = {"Upsloping": 0, "Flat": 1, "Downsloping": 0}
-    thal_3_mapping = {"Normal": 1, "Fixed Defect": 0, "Reversible Defect": 0}
-    thal_7_mapping = {"Normal": 0, "Fixed Defect": 0, "Reversible Defect": 1}
-
-    # Predict button
-    if st.button("Predict"):
-        result = predict_heart_disease(sex_mapping[sex], exang_mapping[exang], cp_1_mapping[cp], cp_2_mapping[cp], cp_4_mapping[cp], slope_1_mapping[slope], slope_2_mapping[slope], thal_3_mapping[thal], thal_7_mapping[thal])
-        if result == 1:
-            st.write("The model predicts that the patient has heart disease.")
-        else:
-            st.write("The model predicts that the patient does not have heart disease.")
-
-# Run the Streamlit app
-if __name__ == "__main__":
-    main()