diff --git a/README.md b/README.md
index d43e151..d7c869f 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,36 @@
 # NLPService
 Microservice that does word and emoji prediction
+
+## Installation
+Using Anaconda or Miniconda, create an environment with the packages listed in ```environment.yml``` with
+```
+conda env create -n nlp-service -f environment.yml
+```
+This creates a new conda environment named ```nlp-service```.
+
+## Usage
+Activate the conda environment.
+
+__Server side__: run ```python main.py``` to start the server.
+
+__Client side__: connect to the server with SocketIO client and emit "predict" with a word or phrase as an argument to get word predictions. Example for predicting "a":
+
+```
+from socketIO_client import SocketIO
+
+# The code below is to simulate requests from the client
+def callback_func(*args):
+    print("predictions: ", args)
+
+# server running on localhost:8001
+socket_client = SocketIO("localhost", 8001)
+socket_client.connect()
+socket_client.emit("predict", "a", callback_func)
+socket_client.wait_for_callbacks(seconds=1)
+```
+Will print:
+```
+predictions:  ('and', 'at', 'as')
+```
+
+This example was taken from ```complete.py```.
diff --git a/src/environment.yml b/src/environment.yml
index 0103320..15d758c 100644
--- a/src/environment.yml
+++ b/src/environment.yml
@@ -1,61 +1,67 @@
-name: nlp_service
+name: mindtype
 channels:
+  - anaconda
+  - conda-forge
   - defaults
 dependencies:
-  - astroid=2.0.4=py35_0
+  - ca-certificates=2019.1.23=0
+  - certifi=2018.11.29=py36_0
+  - openssl=1.1.1=he774522_0
+  - pandas=0.24.1=py36ha925a31_0
+  - pytz=2018.9=py36_0
+  - vc=14.1=h21ff451_3
+  - vs2015_runtime=15.5.2=3
+  - aiofiles=0.4.0=py_1001
+  - cycler=0.10.0=py_1
+  - freetype=2.9.1=h5db478b_1005
+  - httptools=0.0.11=py36hfa6e2cd_1000
+  - jpeg=9c=hfa6e2cd_1001
+  - kiwisolver=1.0.1=py36he980bc4_1002
+  - libpng=1.6.36=h7602738_1000
+  - matplotlib=3.0.2=py36_1002
+  - matplotlib-base=3.0.2=py36h3e3dc42_1002
+  - mkl_fft=1.0.10=py36hfa6e2cd_1
+  - mkl_random=1.0.2=py36h830ac7b_2
+  - multidict=4.5.2=py36hfa6e2cd_1000
+  - pip=19.0.2=py36_0
+  - pyparsing=2.3.1=py_0
+  - python=3.6.6=he025d50_0
+  - python-dateutil=2.8.0=py_0
+  - python-engineio=3.0.0=py_0
+  - python-marisa-trie=0.7.4=py36h6538335_1
+  - python-socketio=3.1.2=py_0
+  - sanic=18.12.0=py36_1000
+  - setuptools=40.8.0=py36_0
+  - sip=4.19.8=py36h6538335_1000
+  - six=1.12.0=py36_1000
+  - sqlite=3.26.0=hfa6e2cd_1000
+  - tornado=5.1.1=py36hfa6e2cd_1000
+  - websockets=5.0.1=py36hfa6e2cd_1000
+  - wheel=0.33.1=py36_0
+  - wincertstore=0.2=py36_1002
+  - zlib=1.2.11=h2fa13f4_1004
   - blas=1.0=mkl
-  - ca-certificates=2018.03.07=0
-  - certifi=2018.8.24=py35_1
-  - intel-openmp=2019.0=118
-  - isort=4.3.4=py35_0
-  - lazy-object-proxy=1.3.1=py35h14c3975_2
-  - libedit=3.1.20170329=h6b74fdf_2
-  - libffi=3.2.1=hd88cf55_4
-  - libgcc-ng=8.2.0=hdf63c60_1
-  - libgfortran-ng=7.3.0=hdf63c60_0
-  - libstdcxx-ng=8.2.0=hdf63c60_1
-  - mccabe=0.6.1=py35_1
-  - mkl=2019.0=118
-  - mkl_fft=1.0.4=py35h4414c95_1
-  - mkl_random=1.0.1=py35h4414c95_1
-  - ncurses=6.1=hf484d3e_0
-  - numpy=1.15.1=py35h1d66e8a_0
-  - numpy-base=1.15.1=py35h81de0dd_0
-  - openssl=1.0.2p=h14c3975_0
-  - pandas=0.23.4=py35h04863e7_0
-  - pip=10.0.1=py35_0
-  - pylint=2.1.1=py35_0
-  - python=3.5.6=hc3d631a_0
-  - python-dateutil=2.7.3=py35_0
-  - pytz=2018.5=py35_0
-  - readline=7.0=h7b6447c_5
-  - setuptools=40.2.0=py35_0
-  - six=1.11.0=py35_1
-  - sqlite=3.24.0=h84994c4_0
-  - tk=8.6.8=hbc83047_0
-  - typed-ast=1.1.0=py35h20cf15d_0
-  - wheel=0.31.1=py35_0
-  - wrapt=1.10.11=py35h14c3975_2
-  - xz=5.2.4=h14c3975_4
-  - zlib=1.2.11=ha838bed_2
+  - icc_rt=2019.0.0=h0cc432a_1
+  - icu=58.2=ha66f8fd_1
+  - intel-openmp=2019.1=144
+  - mkl=2019.1=144
+  - numpy=1.15.4=py36h19fb1c0_0
+  - numpy-base=1.15.4=py36hc3f5095_0
+  - pyqt=5.9.2=py36h6538335_2
+  - qt=5.9.7=vc14h73c81de_0
+  - scikit-learn=0.20.2=py36h343c172_0
+  - scipy=1.2.0=py36h29ff71c_0
   - pip:
-    - aiofiles==0.4.0
     - chardet==3.0.4
-    - cython==0.28.5
-    - httptools==0.0.11
-    - idna==2.7
-    - marisa-trie==0.7.5
-    - multidict==4.4.2
-    - netifaces==0.10.6
-    - python-engineio==2.2.0
-    - python-socketio==2.0.0
-    - requests==2.19.1
-    - sanic==0.8.3
+    - idna==2.8
+    - joblib==0.13.2
+    - marisa-trie==0.7.4
+    - mne==0.17.1
+    - pylsl==1.13.1
+    - pyriemann==0.2.5
+    - requests==2.21.0
     - socketio-client==0.7.2
-    - ujson==1.35
-    - urllib3==1.23
-    - uvloop==0.11.2
-    - websocket-client==0.53.0
-    - websockets==5.0.1
-prefix: /home/igor/anaconda3/envs/nlp_service
+    - urllib3==1.24.1
+    - websocket-client==0.54.0
+prefix: C:\Users\karlc\AppData\Local\conda\conda\envs\mindtype