Delete appStore/conditional.py

appStore/conditional.py

@@ -1,42 +0,0 @@
-# set path
-import glob, os, sys; 
-sys.path.append('../utils')
-
-#import needed libraries
-import seaborn as sns
-import matplotlib.pyplot as plt
-import numpy as np
-import pandas as pd
-import streamlit as st
-from utils.conditional_classifier import load_conditionalClassifier, conditional_classification
-import logging
-logger = logging.getLogger(__name__)
-from utils.config import get_classifier_params
-from io import BytesIO
-import xlsxwriter
-import plotly.express as px
-
-
-# Declare all the necessary variables
-classifier_identifier = 'conditional'
-params  = get_classifier_params(classifier_identifier)
-
-
-def app():
-    ### Main app code ###
-    with st.container():
-        if 'key1' in st.session_state:
-            df = st.session_state.key1
-
-            # Load the classifier model
-            classifier = load_conditionalClassifier(classifier_name=params['model_name'])
-            st.session_state['{}_classifier'.format(classifier_identifier)] = classifier
-
-            if sum(df['Target Label'] == 'TARGET') > 100:
-                warning_msg = ": This might take sometime, please sit back and relax."
-            else:
-                warning_msg = ""
-            
-            df = conditional_classification(haystack_doc=df,
-                                        threshold= params['threshold'])
-            st.session_state.key1 = df