Create subtarget.py

appStore/subtarget.py

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+# 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.subtarget_classifier import load_subtargetClassifier, subtarget_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 = 'subtarget'
+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_subtargetClassifier(classifier_name=params['model_name'])
+            st.session_state['{}_classifier'.format(classifier_identifier)] = classifier
+            
+            subtarget_classification(haystack_doc=df,
+                                        threshold= params['threshold'])
+            #st.session_state.key1 = df