Fix setup file, v0.1.2.

Author: riga

.gitignore

@@ -6,3 +6,5 @@
 *.pkl
 dist
 MANIFEST
+README.rst
+deploy.sh

README.md

@@ -9,6 +9,14 @@ Working with tensorflow is awesome. Installing tensorflow on old OS's like SL6 i
 
 tfdeploy solves this problem while only requiring numpy. It is a single file with less then 150 lines of core code, so you can easily copy it into your project. In addition, tfdeploy is [*way faster*](#performance) than using tensorflow's ``Tensor.eval``.
 
+Install it via
+
+```bash
+pip install tfdeploy
+```
+
+or by simply copying the file into your project.
+
 
 ## How?
 
@@ -122,5 +130,5 @@ Out[3]: 0.2995444191343964
 
 ## Authors
 
-Marcel R. ([riga](https://github.com/riga))
-Benjamin F. ([riga](https://github.com/bfis))
+- Marcel R. ([riga](https://github.com/riga))
+- Benjamin F. ([riga](https://github.com/bfis))

setup.py

@@ -1,12 +1,17 @@
 # -*- coding: utf-8 -*-
 
 
+import os
 from distutils.core import setup
 import tfdeploy as td
 
 
-with open("README.md") as f:
-    long_description = f.read()
+readme = "README.rst"
+if os.path.isfile(readme):
+    with open(readme) as f:
+        long_description = f.read()
+else:
+    long_description = ""
 
 keywords = [
     "tensorflow", "export", "dump", "numpy", "model", "predict", "evaluate"

tfdeploy.py

@@ -11,7 +11,7 @@
 __credits__    = ["Marcel Rieger", "Benjamin Fischer"]
 __license__    = "MIT"
 __status__     = "Development"
-__version__    = "0.1.0"
+__version__    = "0.1.2"
 
 __all__ = ["Model", "ModelException", "Operation", "OperationException"]