omarsar

drive_service = google_authenticate()

omarsar

def read_file(file_id):
  """ 
  Download file from Google Drive 
  Argument: file_id
  Returns: downloaded file
  """
  
  file_id = file_id

  import io

omarsar

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

omarsar

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

omarsar

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

omarsar

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

omarsar

!pip3 install torch torchvision

omarsar

import torch
import torch.nn as nn

omarsar

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

omarsar

print(X.size())
print(y.size())