Update docs

Author: sampathweb

README.md

@@ -1,6 +1,6 @@
-# Cookiecutter Starter Template to build and deploy Machine Learning model as Flask App
+# Cookiecutter Starter Template to build and deploy Machine Learning model as API Micro Servies
 
-_A logical, reasonably standardized, but flexible project structure for doing and sharing data science and deploy the model as flask app_
+_A logical, reasonably standardized, but flexible project structure for doing and sharing data science and deploy the model_
 
 
 ### Requirements to use the cookiecutter template:
@@ -12,7 +12,7 @@ _A logical, reasonably standardized, but flexible project structure for doing an
 ### To start a new project, run:
 ------------
 
-    cookiecutter https://github.com/sampathweb/cc-api-app
+    cookiecutter https://github.com/sampathweb/cc-iris-api
 
 ### Credits:
 ------

{{cookiecutter.repo_name}}/README.md

@@ -26,7 +26,7 @@ python run.py
 ### Test App
 
 
-1. Open Browser:  (http://localhost:9000)
+1. Open Browser:  [http://localhost:9000](http://localhost:9000)
 
 2. Command Line:
 
@@ -44,6 +44,7 @@ Api works!
 
 
 ```
+# These git Steps are Optional for Pydata Tutorial.
 git init
 git add --all
 git commit -m "first commit"
@@ -117,11 +118,13 @@ sudo supervisorctl reload
 
 ### Test the App
 
-1. Open Browser:  http://<AWS IP> (App is Live!)
+1. Open Browser:  `http://<AWS IP>` (App is Live!)
 
-2. Test API:
+2. Test in Command Line (Optional):
 
+```
 curl -i http://<aws ip address>/api/iris/predict -X POST -d '{ "sepal_length": 2, "sepal_width": 5, "petal_length": 3, "petal_width": 4}'
+```
 
 Congratulations you have deployed your App
 

{{cookiecutter.repo_name}}/app/server.py

@@ -10,7 +10,7 @@
 
 from sklearn.externals import joblib
 
-from app.settings import MODEL_DIR, AUTH_KEY, AUTH_SECRET
+from app.settings import MODEL_DIR
 from app.handler import IndexHandler, IrisPredictionHandler