hongaik commited on
Commit
a34ad6e
1 Parent(s): 00c6db8

update req

Browse files
.ipynb_checkpoints/app-checkpoint.py CHANGED
@@ -1,5 +1,5 @@
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  import streamlit as st
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- import utils
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  ########## Title for the Web App ##########
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  st.title("Text Classification for Service Feedback")
 
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  import streamlit as st
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+ from utils import *
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  ########## Title for the Web App ##########
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  st.title("Text Classification for Service Feedback")
.ipynb_checkpoints/requirements-checkpoint.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ streamlit==1.4.0
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+ gensim==4.1.2
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+ transformers==4.16.1
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+ scikit-learn
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+ pandas==1.2.4
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+ torch==1.10.1
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+ numpy==1.19.5
.ipynb_checkpoints/utils-checkpoint.py CHANGED
@@ -2,6 +2,8 @@ import re
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  from gensim.models.keyedvectors import KeyedVectors
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  from transformers import pipeline
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  import pickle
 
 
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  w2v = KeyedVectors.load('models/word2vec')
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  w2v_vocab = set(sorted(w2v.index_to_key))
 
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  from gensim.models.keyedvectors import KeyedVectors
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  from transformers import pipeline
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  import pickle
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+ import numpy as np
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+ import pandas as pd
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  w2v = KeyedVectors.load('models/word2vec')
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  w2v_vocab = set(sorted(w2v.index_to_key))
app.py CHANGED
@@ -1,5 +1,5 @@
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  import streamlit as st
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- import utils
3
 
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  ########## Title for the Web App ##########
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  st.title("Text Classification for Service Feedback")
 
1
  import streamlit as st
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+ from utils import *
3
 
4
  ########## Title for the Web App ##########
5
  st.title("Text Classification for Service Feedback")
requirements.txt CHANGED
@@ -3,4 +3,5 @@ gensim==4.1.2
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  transformers==4.16.1
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  scikit-learn
5
  pandas==1.2.4
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- torch==1.10.1
 
 
3
  transformers==4.16.1
4
  scikit-learn
5
  pandas==1.2.4
6
+ torch==1.10.1
7
+ numpy==1.19.5
utils.py CHANGED
@@ -2,6 +2,8 @@ import re
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  from gensim.models.keyedvectors import KeyedVectors
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  from transformers import pipeline
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  import pickle
 
 
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  w2v = KeyedVectors.load('models/word2vec')
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  w2v_vocab = set(sorted(w2v.index_to_key))
 
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  from gensim.models.keyedvectors import KeyedVectors
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  from transformers import pipeline
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  import pickle
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+ import numpy as np
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+ import pandas as pd
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  w2v = KeyedVectors.load('models/word2vec')
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  w2v_vocab = set(sorted(w2v.index_to_key))