Solution
uploaded_file = request.files.get('uploaded_file')
data = uploaded_file.read()
print(data)
from PIL import Image
uploaded_file = request.files.get('uploaded_file')
img = Image.open(uploaded_file)
img.save('new_name.jpg')
import pandas as pd
uploaded_file = request.files.get('uploaded_file')
df = pd.read_csv(uploaded_file)
from PIL import Image
import io
uploaded_file = request.files.get('uploaded_file')
data = uploaded_file.read()
file_object = io.BytesIO(data)
#file_object.seek(0)
img = Image.open(file_object)
img.save('new_name.jpg')
import pandas as pd
import io
uploaded_file = request.files.get('uploaded_file')
data = uploaded_file.read()
file_object = io.BytesIO(data)
#file_object.seek(0)
df = pd.read_csv(file_object)
uploaded_file = request.files.get('uploaded_file')
img = Image.open(uploaded_file)
# generate smaller version
img.thumbnail((200,200))
# write in file-like object as JPG
file_object = io.BytesIO()
img.save(file_object, 'JPEG')
# get data from file
data = file_object.getvalue() # get data directly
# OR
#file_object.seek(0) # move to the beginning of file after previous writing/reading
#data = file_object.read() # read like from normal file
# send to browser as HTML
data = base64.b64encode(data).decode()
html = f'
'