achmaddhani commited on
Commit
9cde3c1
·
1 Parent(s): 5d154b2

Update app.py

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Files changed (1) hide show
  1. app.py +13 -4
app.py CHANGED
@@ -22,7 +22,7 @@ if page == 'Home Page':
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  st.write('Name : Achmad Dhani')
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  st.write('Batch : HCK-009')
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  st.markdown('Dataset: [Emotion Dataset](https://www.kaggle.com/datasets/abdallahwagih/emotion-dataset)')
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- st.write('Objective : Mental health is important and a lot of people either doubt or confused regarding in what they are feeling. Validation helps as a reassurance for a lot of people, giving them affirmation by knowing that others shares those same feelings. Employing NLP machine learning with high accuracy will efficiently classify emotions in the hopes to make a person's day a brighter.')
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  st.write('')
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  st.caption('Please pick the options in the Select Page Box located on the left of the screen to start!')
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  st.write('')
@@ -31,14 +31,23 @@ if page == 'Home Page':
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  #============================= Background Info ==========================
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  with st.expander("Background Information"):
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- st.caption('')
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  #============================= Work Flow ================================
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  with st.expander("Work Flow"):
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  st.caption(
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- '''
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- '''
 
 
 
 
 
 
 
 
 
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  )
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  #============================= Conclussion =================================
 
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  st.write('Name : Achmad Dhani')
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  st.write('Batch : HCK-009')
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  st.markdown('Dataset: [Emotion Dataset](https://www.kaggle.com/datasets/abdallahwagih/emotion-dataset)')
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+ st.write("Objective : Mental health is important and a lot of people either doubt or confused regarding in what they are feeling. Validation helps as a reassurance for a lot of people, giving them affirmation by knowing that others shares those same feelings. Employing NLP machine learning with high accuracy will efficiently classify emotions in the hopes to make a person's day a brighter.")
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  st.write('')
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  st.caption('Please pick the options in the Select Page Box located on the left of the screen to start!')
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  st.write('')
 
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  #============================= Background Info ==========================
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  with st.expander("Background Information"):
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+ st.caption("The dataset is obtained from keggle. It has 5937 entries with 2 object columns. The columns consist of data of people's comments and the respective emotion")
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  #============================= Work Flow ================================
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  with st.expander("Work Flow"):
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  st.caption(
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+ '''
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+ - Data loading from keggle
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+ - Basic Analysis
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+ - EDA on most common words
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+ - Text processing in feature engineering
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+ - Vectorization
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+ - Building the models
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+ - Tuning the models
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+ - Inference
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+ - Deployment
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+ '''
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  )
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  #============================= Conclussion =================================