old_contents: from setuptools import setup, find_packages
  
  with open("README.md", "r") as fh:
      long_description = fh.read()
  
  setup(
      name="EQTransformer",
      author="S. Mostafa Mousavi",
      version="0.1.59",
      author_email="smousavi05@gmail.com",
      description="A python package for making and using attentive deep-learning models for earthquake signal detection and phase picking.",
      long_description=long_description,
      long_description_content_type="text/markdown",
      url="https://github.com/smousavi05/EQTransformer",
      licence="MIT",
      packages=find_packages(),
      keywords='Seismology, Earthquakes Detection, P&S Picking, Deep Learning, Attention Mechanism',
      install_requires=[
  	'pytest', 
  	'keyring>=15.1', 
  	'pkginfo>=1.4.2',
  	'scipy==1.4.1', 
  	'tensorflow==1.14.0', 
  	'keras==2.3.1', 
  	'matplotlib', 
  	'pandas',
  	'tqdm==4.48.0', 
  	'h5py==2.10.0', 
  	'obspy',
  	'jupyter'], 
  
      python_requires='>=3.6',
  )
  
  
  
new_contents: from setuptools import setup, find_packages
  
  with open("README.md", "r") as fh:
      long_description = fh.read()
  
  setup(
      name="EQTransformer",
      author="S. Mostafa Mousavi",
      version="0.1.59",
      author_email="smousavi05@gmail.com",
      description="A python package for making and using attentive deep-learning models for earthquake signal detection and phase picking.",
      long_description=long_description,
      long_description_content_type="text/markdown",
      url="https://github.com/smousavi05/EQTransformer",
      licence="MIT",
      packages=find_packages(),
      keywords='Seismology, Earthquakes Detection, P&S Picking, Deep Learning, Attention Mechanism',
      install_requires=[
  	'pytest', 
  	'keyring>=15.1', 
  	'pkginfo>=1.4.2',
  	'scipy==1.4.1', 
  	'tensorflow==2.4.0', 
  	'keras==2.3.1', 
  	'matplotlib', 
  	'pandas',
  	'tqdm==4.48.0', 
  	'h5py==2.10.0', 
  	'obspy',
  	'jupyter'], 
  
      python_requires='>=3.6',
  )
  
  
  
subject: Bump tensorflow from 1.14.0 to 2.4.0