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c2_final.py
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from cryptography.fernet import Fernet
import base64
key = base64.urlsafe_b64encode(b'Testisstudent1234567890987654321')
text = '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'
def decrypt_msg(text,key):
fernet = Fernet(key)
decrypted_message = fernet.decrypt(text)
return decrypted_message.decode()