Delete appStore/target.py

appStore/target.py

@@ -1,49 +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 st_aggrid import AgGrid
-from utils.tapp_classifier import load_tappClassifier, tapp_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
-from pandas.api.types import (
-    is_categorical_dtype,
-    is_datetime64_any_dtype,
-    is_numeric_dtype,
-    is_object_dtype,
-    is_list_like)
-
-# Declare all the necessary variables
-tapp_classifier_identifier = 'tapp'
-param1  = get_classifier_params(tapp_classifier_identifier)
-
-def app():
-    ### Main app code ###
-    with st.container():
-        if 'key0' in st.session_state:
-            df = st.session_state.key0
-
-            #load Classifiers
-            classifier = load_tappClassifier(classifier_name=param1['model_name'])
-            st.session_state['{}_classifier'.format(tapp_classifier_identifier)] = classifier
-            
-            if len(df) > 100:
-                warning_msg = ": This might take sometime, please sit back and relax."
-            else:
-                warning_msg = ""
-                
-            df = tapp_classification(haystack_doc=df,
-                                    threshold= param1['threshold'])
-            st.dataframe(df)
-
-            st.session_state.key1 = df