import wordcloud
import numpy as np
from matplotlib import pyplot as plt
from IPython.display import display
import fileupload
import io
import sys

def _upload():
     _upload_widget=fileupload.fileuploadWidget()
     def _cb(change):
         global file_contents
         decoded=io.StringIO(change['owner'].data.decode('utf-8'))
         filename= change['owner'].filename
         print('uploaded ',' ({:.2f} KB)'.format(
         filename, len(decoded.read()) /2**10))
         file_contents= decoded.getvalue()

     _upload_widget.observe(_cb, names='data')
     display(_upload_widget)
     _upload()

def calculate_frequencies(file_contents):
    punctuation='''!()-[]{};:""\,<>./?@#$%^&*_-'''
    uninteresting_words= ["the", "a","to","if","is","it","of","we","ours","what","did","do","by","such","this","any","yes","so","out","tall","let","talk","kit","tail","few","each","no","can","nor","here","did","hers"]
    cloud = wordcloud.WorldCloud()
    cloud.generate_from_frequencies()
    return cloud.to_array()

myimage = calculate_frequencies(file_contents)
plt.inshow(myimage, interpolation='nearest')
plt.axis('off')
plt.show()