Providing a working enviroment for the current version

[TasosR83]

(This should be somehow a pull request, but I have no idea how to do that, I am not a github-expert user)
In order to work with the provided torchMoji follow these instructions:

• Use Ubuntu (version 16.04 in my case) and install Miniconda or Anaconda
• Create the file torchmoji_env.yml containing:

name: torchmoji_env
channels:
  - pytorch
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - alabaster=0.7.12=py36_0
  - astroid=2.4.2=py36_0
  - attrs=19.3.0=py_0
  - babel=2.8.0=py_0
  - backcall=0.2.0=py_0
  - blas=1.0=mkl
  - bleach=3.1.5=py_0
  - brotlipy=0.7.0=py36h7b6447c_1000
  - ca-certificates=2020.6.24=0
  - certifi=2020.6.20=py36_0
  - cffi=1.14.0=py36h2e261b9_0
  - chardet=3.0.4=py36_1003
  - cloudpickle=1.4.1=py_0
  - cryptography=2.9.2=py36h1ba5d50_0
  - cudatoolkit=10.0.130=0
  - dbus=1.13.16=hb2f20db_0
  - decorator=4.4.2=py_0
  - defusedxml=0.6.0=py_0
  - docutils=0.16=py36_1
  - entrypoints=0.3=py36_0
  - expat=2.2.9=he6710b0_2
  - fontconfig=2.13.0=h9420a91_0
  - freetype=2.10.2=h5ab3b9f_0
  - glib=2.63.1=h5a9c865_0
  - gst-plugins-base=1.14.0=hbbd80ab_1
  - gstreamer=1.14.0=hb453b48_1
  - icu=58.2=he6710b0_3
  - idna=2.10=py_0
  - imagesize=1.2.0=py_0
  - importlib-metadata=1.7.0=py36_0
  - importlib_metadata=1.7.0=0
  - intel-openmp=2019.4=243
  - ipykernel=5.3.0=py36h5ca1d4c_0
  - ipython=7.16.1=py36h5ca1d4c_0
  - ipython_genutils=0.2.0=py36_0
  - isort=4.3.21=py36_0
  - jedi=0.17.1=py36_0
  - jeepney=0.4.3=py_0
  - jinja2=2.11.2=py_0
  - jpeg=9b=h024ee3a_2
  - jsonschema=3.2.0=py36_0
  - jupyter_client=6.1.3=py_0
  - jupyter_core=4.6.3=py36_0
  - keyring=21.2.1=py36_0
  - lazy-object-proxy=1.4.3=py36h7b6447c_0
  - libedit=3.1.20191231=h7b6447c_0
  - libffi=3.2.1=hd88cf55_4
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libpng=1.6.37=hbc83047_0
  - libsodium=1.0.18=h7b6447c_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libuuid=1.0.3=h1bed415_2
  - libxcb=1.14=h7b6447c_0
  - libxml2=2.9.10=he19cac6_1
  - markupsafe=1.1.1=py36h7b6447c_0
  - mccabe=0.6.1=py36_1
  - mistune=0.8.4=py36h7b6447c_0
  - mkl=2018.0.3=1
  - nbconvert=5.6.1=py36_0
  - nbformat=5.0.7=py_0
  - ncurses=6.2=he6710b0_1
  - ninja=1.9.0=py36hfd86e86_0
  - numpydoc=1.0.0=py_0
  - openssl=1.1.1g=h7b6447c_0
  - packaging=20.4=py_0
  - pandoc=2.9.2.1=0
  - pandocfilters=1.4.2=py36_1
  - parso=0.7.0=py_0
  - pcre=8.44=he6710b0_0
  - pexpect=4.8.0=py36_0
  - pickleshare=0.7.5=py36_0
  - pip=20.1.1=py36_1
  - prompt-toolkit=3.0.5=py_0
  - psutil=5.7.0=py36h7b6447c_0
  - ptyprocess=0.6.0=py36_0
  - pycodestyle=2.6.0=py_0
  - pycparser=2.20=py_0
  - pyflakes=2.2.0=py_0
  - pygments=2.6.1=py_0
  - pylint=2.5.3=py36_0
  - pyopenssl=19.1.0=py36_0
  - pyparsing=2.4.7=py_0
  - pyqt=5.9.2=py36h05f1152_2
  - pyrsistent=0.16.0=py36h7b6447c_0
  - pysocks=1.7.1=py36_0
  - python=3.6.7=h0371630_0
  - python-dateutil=2.8.1=py_0
  - pytorch=1.0.1=py3.6_cuda10.0.130_cudnn7.4.2_2
  - pytz=2020.1=py_0
  - pyzmq=19.0.1=py36he6710b0_1
  - qt=5.9.7=h5867ecd_1
  - qtawesome=0.7.2=py_0
  - qtconsole=4.7.5=py_0
  - qtpy=1.9.0=py_0
  - readline=7.0=h7b6447c_5
  - requests=2.24.0=py_0
  - rope=0.17.0=py_0
  - secretstorage=3.1.2=py36_0
  - setuptools=47.3.1=py36_0
  - sip=4.19.8=py36hf484d3e_0
  - six=1.15.0=py_0
  - snowballstemmer=2.0.0=py_0
  - sphinx=3.1.1=py_0
  - sphinxcontrib-applehelp=1.0.2=py_0
  - sphinxcontrib-devhelp=1.0.2=py_0
  - sphinxcontrib-htmlhelp=1.0.3=py_0
  - sphinxcontrib-jsmath=1.0.1=py_0
  - sphinxcontrib-qthelp=1.0.3=py_0
  - sphinxcontrib-serializinghtml=1.1.4=py_0
  - spyder=3.3.6=py36_0
  - spyder-kernels=0.5.2=py36_0
  - sqlite=3.32.3=h62c20be_0
  - testpath=0.4.4=py_0
  - tk=8.6.10=hbc83047_0
  - toml=0.10.1=py_0
  - tornado=6.0.4=py36h7b6447c_1
  - traitlets=4.3.3=py36_0
  - typed-ast=1.4.1=py36h7b6447c_0
  - urllib3=1.25.9=py_0
  - wcwidth=0.2.5=py_0
  - webencodings=0.5.1=py36_1
  - wheel=0.34.2=py36_0
  - wrapt=1.11.2=py36h7b6447c_0
  - wurlitzer=2.0.0=py36_0
  - xz=5.2.5=h7b6447c_0
  - zeromq=4.3.2=he6710b0_2
  - zipp=3.1.0=py_0
  - zlib=1.2.11=h7b6447c_3
  - pip:
    - emoji==0.4.5
    - jupyter-client==6.1.5
    - nose==1.3.7
    - numpy==1.13.1
    - pandas==0.20.3
    - scikit-learn==0.19.0
    - scipy==0.19.1
    - text-unidecode==1.0
prefix: /home/user/Miniconda3/ana/envs/torchmoji_env

Then, install and activate it as:

conda env create -f torchmoji_env.yml
conda activate torchmoji_env

Now in order to run it, you have to fix some bugs in the code (maybe un-compatibility issues),
look at:
#20
#21 (comment)
and when you get a bug in something like .numpy() [0] replace it with .numpy()