Elvis Saravia omarsar

## request.py
drive_service = google_authenticate()

## read_file.py
def read_file(file_id):
  """
  Download file from Google Drive
  Argument: file_id
  Returns: downloaded file
  """

  file_id = file_id

  import io

## read.py
text_file = read_file('1NrodQrpaw-9xU2lCYo8H8fiW6A1RGdwt') # file id of the picture

## explore.py
document = text_file.read()
print(len(document))
print(document[0:100])

## generate_cloud.py
wordcloud = WordCloud().generate(document)
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")

## masked_wc.py
image_file = read_file("1kHhmo4fj5PqhpH2x_hVY6uUDgf2_G0Tn")

# create mask
alice_mask = np.array(Image.open(image_file))

# remove stopwords
stopwords = set(STOPWORDS)
stopwords.add("said")

# generate word cloud

## py_install.sh
!pip3 install torch torchvision

## py_import.py
import torch
import torch.nn as nn

## py_data.py
X = torch.tensor(([2, 9], [1, 5], [3, 6]), dtype=torch.float) # 3 X 2 tensor
y = torch.tensor(([92], [100], [89]), dtype=torch.float) # 3 X 1 tensor
xPredicted = torch.tensor(([4, 8]), dtype=torch.float) # 1 X 2 tensor

## py_size.py
print(X.size())
print(y.size())
	def read_file(file_id):
	"""
	Download file from Google Drive
	Argument: file_id
	Returns: downloaded file
	"""

	file_id = file_id

	import io
	document = text_file.read()
	print(len(document))
	print(document[0:100])
	wordcloud = WordCloud().generate(document)
	plt.imshow(wordcloud, interpolation='bilinear')
	plt.axis("off")
	image_file = read_file("1kHhmo4fj5PqhpH2x_hVY6uUDgf2_G0Tn")

	# create mask
	alice_mask = np.array(Image.open(image_file))

	# remove stopwords
	stopwords = set(STOPWORDS)
	stopwords.add("said")

	# generate word cloud
	X = torch.tensor(([2, 9], [1, 5], [3, 6]), dtype=torch.float) # 3 X 2 tensor
	y = torch.tensor(([92], [100], [89]), dtype=torch.float) # 3 X 1 tensor
	xPredicted = torch.tensor(([4, 8]), dtype=torch.float) # 1 X 2 tensor