Delete app.py

app.py

@@ -1,114 +0,0 @@
-import streamlit as st
-import pickle
-import numpy as np
-
-# Set page title and icon
-st.set_page_config(page_title="Employee Promotion Prediction", page_icon=":guardsman:", layout="wide")
-
-# Add a big heading
-st.title("Employee Promotion Prediction")
-
-# Change background color to black
-st.markdown(
-    """
-    <style>
-    .reportview-container {
-        background: black
-    }
-    </style>
-    """,
-    unsafe_allow_html=True
-)
-
-model = pickle.load(open('rf.pkl', 'rb'))
-scaling = pickle.load(open('sc.pkl', 'rb'))
-
-# Define the department options
-department_options = ['Analytics', 'Finance', 'HR', 'Legal', 'Operations', 'Procurement', 'R&D', 'Sales & Marketing', 'Technology']
-
-# Define the education options
-education_options = ["Bachelor's", "Master's & above", "Below Secondary"]
-
-# Define the gender options
-gender_options = ['Male', 'Female']
-
-# Define the KPIs met options
-kpis_met_options = ['No', 'Yes']
-
-# Define the awards won options
-awards_won_options = ['No', 'Yes']
-
-# Define the maximum training score
-max_training_score = 100
-
-# Define the maximum number of trainings
-max_trainings = 10
-
-# Define the minimum and maximum age
-min_age, max_age = 18, 60
-
-# Define the minimum and maximum length of service
-min_service_length, max_service_length = 0, 20
-
-# Define the minimum and maximum previous year rating
-min_prev_year_rating, max_prev_year_rating = 1, 5
-
-
-# Define the input components using Streamlit
-
-department = st.selectbox('---> Department', department_options)
-education = st.selectbox('---> Education', education_options)
-gender = st.radio('---> Gender', gender_options)
-no_of_trainings = st.number_input('---> Number of Trainings', min_value=1, max_value=max_trainings, value=1)
-age = st.slider('---> Age', min_value=min_age, max_value=max_age)
-previous_year_rating = st.slider('---> Previous Year Rating', min_value=min_prev_year_rating, max_value=max_prev_year_rating)
-length_of_service = st.number_input('---> Length of Service', min_value=min_service_length, max_value=max_service_length, value=0)
-kpis_met = st.selectbox('---> KPIs Met >80%', kpis_met_options)
-awards_won = st.selectbox('---> Awards Won?', awards_won_options)
-avg_training_score = st.number_input('---> Average Training Score', max_value=max_training_score)
-
-
-department_encoding = {'Analytics':0, 'Finance':1, 'HR':2, 'Legal':3, 'Operations':4, 'Procurement':5, 'R&D':6, 'Sales & Marketing':7, 'Technology':8}
-education_encoding = {"Bachelor's":2, "Master's & above":3, "Below Secondary":1}
-gender_encoding = {'Male':1, 'Female':0}
-kpis_met_encoding = {'No':0, 'Yes':1}
-awards_won_encoding = {'No':0, 'Yes':1}
-
-sum_metric = awards_won_encoding[awards_won] + kpis_met_encoding[kpis_met] + previous_year_rating
-total_score = avg_training_score * no_of_trainings
-
-inputs_to_model = np.array([(department_encoding[department], education_encoding[education],
-                             gender_encoding[gender], no_of_trainings, age, previous_year_rating,
-                             length_of_service, kpis_met_encoding[kpis_met], awards_won_encoding[awards_won], avg_training_score,
-                             sum_metric, total_score)])
-
-final_inputs = scaling.transform(inputs_to_model)
-
-# Print the user inputs
-if st.button('Submit'):
-    # st.write('Department:', department)
-    # st.write('Education:', education)
-    # st.write('Gender:', gender)
-    # st.write('Number of Trainings:', no_of_trainings)
-    # st.write('Age:', age)
-    # st.write('Previous Year Rating:', previous_year_rating)
-    # st.write('Length of Service:', length_of_service)
-    # st.write('KPIs Met >80%:', kpis_met)
-    # st.write('Awards Won?:', awards_won)
-    # st.write('Average Training Score:', avg_training_score)
-    # st.write('sum metric', sum_metric)
-    # st.write('total score', total_score)
-    # st.write('model inputs', inputs_to_model)
-    # st.write('final model inputs', final_inputs)
-
-    prediction = model.predict(final_inputs)
-
-    if prediction[0] == 1:
-        st.header('The Employee should get Promotion')
-        
-    else:
-        st.header('The Employee should not get promotion')
-
-
-
-