Raymond Cheng itsuncheng

## app.py
import streamlit as st
st.set_page_config(page_title="Song Recommendation", layout="wide")

import pandas as pd
from sklearn.neighbors import NearestNeighbors
import plotly.express as px
import streamlit.components.v1 as components

@st.cache(allow_output_mutation=True)
def load_data():

## conversation.ipynb

      
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## sentiment_analysis.ipynb

      
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## text_generation.ipynb

      
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              January 19, 2021 11:28
            
          
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## question_answering.ipynb

      
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              January 19, 2021 09:15
            
          
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## translation.ipynb

      
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              January 18, 2021 11:08
            
          
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## summarization.ipynb

      
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              January 17, 2021 07:45
            
          
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## semantic_similarity.ipynb

      
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## import_library.ipynb

      
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              January 16, 2021 14:04
            
              
                import_library
              
          
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## save_generated_imgs.py
for image in range(len(img_list)):
    name = "generated_" + str(image) +".jpg"
    print(name)
    plt.imsave(name, np.transpose(img_list[image],(1,2,0)), format='jpg')
	import streamlit as st
	st.set_page_config(page_title="Song Recommendation", layout="wide")

	import pandas as pd
	from sklearn.neighbors import NearestNeighbors
	import plotly.express as px
	import streamlit.components.v1 as components

	@st.cache(allow_output_mutation=True)
	def load_data():
	for image in range(len(img_list)):
	name = "generated_" + str(image) +".jpg"
	print(name)
	plt.imsave(name, np.transpose(img_list[image],(1,2,0)), format='jpg')