Update app.py

app.py

@@ -3,52 +3,52 @@ import joblib
 import numpy as np
 
 
-# load model
-loaded_model = joblib.load('model.pkl')
+# # load model
+# loaded_model = joblib.load('model.pkl')
 
 
-def generate_prediction(input_array):
-    ans = loaded_model.predict(input_array)
+# def generate_prediction(input_array):
+#     ans = loaded_model.predict(input_array)
 
-    return ans
+#     return ans
 
 
-def main():
-    # Face Analysis Application #
-    st.title(" Face Emotion Detection Application")
-    activiteis = ["Home", "Webcam Face Detection", "By Images","About"]
-    choice = st.sidebar.selectbox("Select Activity", activiteis)
+# def main():
+#     # Face Analysis Application #
+#     st.title(" Face Emotion Detection Application")
+#     activiteis = ["Home", "Webcam Face Detection", "By Images","About"]
+#     choice = st.sidebar.selectbox("Select Activity", activiteis)
         
-    if choice == "Home":
-        html_temp_home1 = """<div style="background-color:#6D7B8D;padding:10px">
-                                            <h3 style="color:yellow;text-align:center;"> Welcome to world of AI with Prince </h3>
-                                            <h4 style="color:white;text-align:center;">
-                                            Face Emotion detection application using OpenCV, Custom CNN model and Streamlit.</h4>
-                                            </div>
-                                            </br>"""
-        st.markdown(html_temp_home1, unsafe_allow_html=True)
-        st.write("""
-                  Real time face emotion recognization just by one click.
-
-                 """)
-    if choice == "Webcam Face Detection":
-        age = st.number_input("Enter your age")
-        income = st.number_input("Monthly Income: ")
-        family_size = st.number_input("Family Size:")
-        pin = st.number_input("Pin Code: ")
+#     if choice == "Home":
+#         html_temp_home1 = """<div style="background-color:#6D7B8D;padding:10px">
+#                                             <h3 style="color:yellow;text-align:center;"> Welcome to world of AI with Prince </h3>
+#                                             <h4 style="color:white;text-align:center;">
+#                                             Face Emotion detection application using OpenCV, Custom CNN model and Streamlit.</h4>
+#                                             </div>
+#                                             </br>"""
+#         st.markdown(html_temp_home1, unsafe_allow_html=True)
+#         st.write("""
+#                   Real time face emotion recognization just by one click.
+
+#                  """)
+#     if choice == "Webcam Face Detection":
+#         age = st.number_input("Enter your age")
+#         income = st.number_input("Monthly Income: ")
+#         family_size = st.number_input("Family Size:")
+#         pin = st.number_input("Pin Code: ")
         
-        options = {"Positive": 1, "Negative": 0}
-        selected_options = st.multiselect("Select persons:", list(options.keys()))
-        selected_values = [options[option] for option in selected_options
-        # st.write("Selected values:", selected_values)
-        # default = [1,0]
-        # Review = st.multiselect("Select options", options, default)
+#         options = {"Positive": 1, "Negative": 0}
+#         selected_options = st.multiselect("Select persons:", list(options.keys()))
+#         selected_values = [options[option] for option in selected_options
+#         # st.write("Selected values:", selected_values)
+#         # default = [1,0]
+#         # Review = st.multiselect("Select options", options, default)
         
-        # options_gender = ["Male", "Female"]
-        # values_gender = [1, 0]
-        # Review = st.multiselect("Select options", options_gender, values_gender)
+#         # options_gender = ["Male", "Female"]
+#         # values_gender = [1, 0]
+#         # Review = st.multiselect("Select options", options_gender, values_gender)
         
-        # gender = st.selectbox("Select your city", ,[1,0])
+#         # gender = st.selectbox("Select your city", ,[1,0])
         # Marital_status = st.selectbox("Marital Status of the Customer", ["Single", "Married", "Not Revealed"],[1,2,3])
         # Occupation = st.selectbox("Occupation of the Customer", ["Student", "Employee", "Self Employeed", "House wife"],[1,2,3,4])
         # Educational = st.selectbox("Educational Qualification", ["Graduate", "Post Graduate" "Ph.D", "School", "Uneducated"],[1,2,3,4,5])
@@ -106,5 +106,28 @@ def main():
     #     pass
 
 
-if __name__ == "__main__":
-    main()
+# if __name__ == "__main__":
+#     main()
+
+
+
+import streamlit as st
+
+# Define the input fields
+age = st.number_input("Age", min_value=0, max_value=120, value=30, step=1)
+income = st.number_input("Income", min_value=0, max_value=1000000, value=50000, step=1000)
+family_size = st.number_input("Family Size", min_value=1, max_value=10, value=4, step=1)
+pin = st.number_input("Pin", min_value=100000, max_value=999999, value=500000, step=1)
+
+gender = st.selectbox("Gender", [1, 2, 3])
+marital_status = st.selectbox("Marital Status", [1, 2, 3])
+occupation = st.selectbox("Occupation", [1, 2, 3])
+educational_level = st.selectbox("Educational Level", [1, 2, 3])
+
+# # Create a button to trigger the model
+# if st.button("Predict"):
+#     # TODO: Replace with your model code
+#     prediction = "Some prediction"
+
+#     # Show the prediction
+#     st.write("Prediction:", prediction)