Andy Lau commited on
Commit
c4ceb88
·
1 Parent(s): 4e78a59
Files changed (1) hide show
  1. utils.py +0 -50
utils.py CHANGED
@@ -1,31 +1,7 @@
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  # import s3fs
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  import pandas as pd
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- import numpy as np
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- from numpy import arange
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- from colour import Color
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- import plotly.graph_objects as go
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- from nltk import tokenize
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- from IPython.display import Markdown
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- from PIL import ImageColor
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- from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
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- import nltk
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- nltk.download('punkt')
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- from io import StringIO
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- from scipy import spatial
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- import re
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- import pytorch_lightning as pl
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- from bs4 import BeautifulSoup
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- import ipywidgets as widgets
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- from ipywidgets import FileUpload
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- from urlextract import URLExtract
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- from transformers import BertTokenizerFast as BertTokenizer, BertModel, BertConfig
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- import torch.nn as nn
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- import torch
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- from ipywidgets import interact, Dropdown
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  import boto3
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- # from sagemaker import get_execution_role
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- from scipy import spatial
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  from bokeh.models.widgets import Div
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  import streamlit as st
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@@ -56,29 +32,3 @@ def url_button(button_name,url):
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  div = Div(text=html)
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  st.bokeh_chart(div)
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-
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-
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- PARAMS={
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- 'BATCH_SIZE': 8,
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- 'MAX_TOKEN_COUNT':100,
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- 'BERT_MODEL_NAME':'google/bert_uncased_L-2_H-128_A-2' ,
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- 'N_EPOCHS': 10,
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- 'n_classes':8,
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- 'LABEL_COLUMNS': ['label_analytical', 'label_casual', 'label_confident', 'label_friendly',
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- 'label_joyful', 'label_opstimistic', 'label_respectful',
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- 'label_urgent'],
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- 'TEXTCOL': 'text',
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- 'rf_labels':['label_analytical', 'label_casual', 'label_confident',
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- 'label_friendly', 'label_joyful', 'label_opstimistic',
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- 'label_respectful', 'label_urgent',
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- 'industry_Academic and Education', 'industry_Energy',
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- 'industry_Entertainment', 'industry_Finance and Banking',
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- 'industry_Healthcare', 'industry_Hospitality', 'industry_Real Estate',
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- 'industry_Retail', 'industry_Software and Technology',
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- 'campaign_type_Abandoned_Cart', 'campaign_type_Engagement',
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- 'campaign_type_Newsletter', 'campaign_type_Product_Announcement',
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- 'campaign_type_Promotional', 'campaign_type_Review_Request',
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- 'campaign_type_Survey', 'campaign_type_Transactional',
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- 'campaign_type_Usage_and_Consumption', 'campaign_type_Webinar']
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- }
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-
 
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  # import s3fs
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  import pandas as pd
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  import boto3
 
 
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  from bokeh.models.widgets import Div
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  import streamlit as st
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  div = Div(text=html)
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  st.bokeh_chart(div)
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