clean up the code

FunctionsModelSA_V1.py

@@ -1,4 +1,3 @@
-# import s3fs
 import pandas as pd
 import numpy as np
 from numpy import arange
@@ -18,17 +17,11 @@ from scipy import spatial
 import re
 import pytorch_lightning as pl
 from bs4 import BeautifulSoup
-# import ipywidgets as widgets
-# from ipywidgets import FileUpload
-# from urlextract import URLExtract
 from transformers import BertTokenizerFast as BertTokenizer, BertModel, BertConfig
 import torch.nn as nn
 import torch
-# from ipywidgets import interact, Dropdown
 import boto3
-# from sagemaker import get_execution_role
 from scipy import spatial
-# from ipyfilechooser import FileChooser
 import streamlit as st
 import utils
 
@@ -57,8 +50,6 @@ PARAMS={
        'campaign_type_Usage_and_Consumption', 'campaign_type_Webinar']
 }
 
-# # CI_rates=pd.read_csv('CI_RATES.csv')
-# s3://emailcampaignmodeldata/ModelSADataSets/CI_RATES.csv
 CI_rates = utils.get_files_from_aws('emailcampaignmodeldata','ModelSADataSets/CI_RATES.csv')
 
 ### create file uploading widget

app.py

@@ -3,9 +3,6 @@ import FunctionsModelSA_V1
 import streamlit as st
 import pandas as pd
 import PIL
-# import re
-# from io import StringIO
-# import boto3
 import time
 
 import main_app
@@ -62,11 +59,6 @@ def add_bg_from_url():
 
 st.markdown("# Sentiment Analysis: Email Industry")
 
-# col1, col2, col3 = st.columns([1,1,1])
-
-# with col2:
-#     img = PIL.Image.open("figures/ModelCC_solid.png")
-#     st.image(img)
 
 stats_col1, stats_col2, stats_col3, stats_col4 = st.columns([1,1,1,1])
 
@@ -171,4 +163,3 @@ if st.button('Generate Predictions'):
             FunctionsModelSA_V1.corrections(best_target_tones,test_predictions,streamlit=True)
 
         placeholder.empty()
-        # print(time.time() - start_time)