Create sector.py
Browse files- appStore/sector.py +38 -0
appStore/sector.py
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# set path
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import glob, os, sys;
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sys.path.append('../utils')
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#import needed libraries
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import seaborn as sns
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import matplotlib.pyplot as plt
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import numpy as np
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import pandas as pd
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import streamlit as st
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from utils.sector_classifier import load_sectorClassifier, sector_classification
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import logging
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logger = logging.getLogger(__name__)
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from utils.config import get_classifier_params
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from utils.preprocessing import paraLengthCheck
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from io import BytesIO
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import xlsxwriter
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import plotly.express as px
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# Declare all the necessary variables
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classifier_identifier = 'sector'
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params = get_classifier_params(classifier_identifier)
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def app():
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### Main app code ###
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with st.container():
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if 'key1' in st.session_state:
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df = st.session_state.key1
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classifier = load_sectorClassifier(classifier_name=params['model_name'])
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st.session_state['{}_classifier'.format(classifier_identifier)] = classifier
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df = sector_classification(haystack_doc=df,
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threshold= params['threshold'])
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st.session_state.key1 = df
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