diff --git a/.gitignore b/.gitignore
index 40a6d8d..0086338 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,3 @@
 .vscode
-*.pyc
\ No newline at end of file
+*.pyc
+dist/
\ No newline at end of file
diff --git a/MANIFEST b/MANIFEST
index e3f0a4a..9afbf0b 100644
--- a/MANIFEST
+++ b/MANIFEST
@@ -3,3 +3,5 @@ setup.cfg
 setup.py
 eazymind\__init__.py
 eazymind\test.py
+eazymind/nlp\__init__.py
+eazymind/nlp\eazysum.py
diff --git a/dist/eazymind-0.0.2.tar.gz b/dist/eazymind-0.0.2.tar.gz
deleted file mode 100644
index 4005bcb..0000000
Binary files a/dist/eazymind-0.0.2.tar.gz and /dev/null differ
diff --git a/setup.py b/setup.py
index 6949e6b..69a42db 100644
--- a/setup.py
+++ b/setup.py
@@ -1,14 +1,14 @@
 from distutils.core import setup
 setup(
   name = 'eazymind',         # How you named your package folder (MyLib)
-  packages = ['eazymind'],   # Chose the same as "name"
-  version = '0.0.2',      # Start with a small number and increase it with every change you make
+  packages = ['eazymind','eazymind/nlp'],   # Chose the same as "name",
+  version = '0.0.3',      # Start with a small number and increase it with every change you make
   license='MIT',        # Chose a license from here: https://help.github.com/articles/licensing-a-repository
   description = 'AI Library providing ai-as-a-service for abstractive text summarization , just your text to be summarized and key obtained from free registeration on eazymind and a summary would be provided , get key from http://eazymind.herokuapp.com/arabic_sum',   # Give a short description about your library
   author = 'amr zaki',                   # Type in your name
   author_email = 'theamrzaki@hotmail.com',      # Type in your E-Mail
   url = 'https://github.com/theamrzaki/eazymind',   # Provide either the link to your github or to your website
-  download_url = 'https://github.com/theamrzaki/eazymind/archive/v0.0.2.tar.gz',    # I explain this later on
+  download_url = 'https://github.com/theamrzaki/eazymind/archive/v0.0.3.tar.gz',    # I explain this later on
   keywords = ['nlp', 'text', 'summarization' , 'ai' ,'natural language processing'],   # Keywords that define your package best
   install_requires=[],
   classifiers=[