add beta samples in its own directory

vision/cloud-client/beta/README.rst

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+.. This file is automatically generated. Do not edit this file directly.
+
+Google Cloud Vision API Python Samples
+===============================================================================
+
+This directory contains samples for Google Cloud Vision API. `Google Cloud Vision API`_ allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content.
+
+- See the `migration guide`_ for information about migrating to Python client library v0.25.1.
+
+.. _migration guide: https://cloud.google.com/vision/docs/python-client-migration
+
+
+
+
+.. _Google Cloud Vision API: https://cloud.google.com/vision/docs 
+
+Setup
+-------------------------------------------------------------------------------
+
+
+Authentication
+++++++++++++++
+
+This sample requires you to have authentication setup. Refer to the
+`Authentication Getting Started Guide`_ for instructions on setting up
+credentials for applications.
+
+.. _Authentication Getting Started Guide:
+    https://cloud.google.com/docs/authentication/getting-started
+
+Install Dependencies
+++++++++++++++++++++
+
+#. Install `pip`_ and `virtualenv`_ if you do not already have them.
+
+#. Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.
+
+    .. code-block:: bash
+
+        $ virtualenv env
+        $ source env/bin/activate
+
+#. Install the dependencies needed to run the samples.
+
+    .. code-block:: bash
+
+        $ pip install -r requirements.txt
+
+.. _pip: https://pip.pypa.io/
+.. _virtualenv: https://virtualenv.pypa.io/
+
+Samples
+-------------------------------------------------------------------------------
+
+Web
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+
+
+To run this sample:
+
+.. code-block:: bash
+
+    $ python web_detect.py
+
+    usage: web_detect.py [-h] image_url
+
+    Demonstrates web detection using the Google Cloud Vision API.
+
+    Example usage:
+      python web_detect.py https://goo.gl/X4qcB6
+      python web_detect.py ../detect/resources/landmark.jpg
+      python web_detect.py gs://your-bucket/image.png
+
+    positional arguments:
+      image_url   The image to detect, can be web URI, Google Cloud Storage, or
+                  path to local file.
+
+    optional arguments:
+      -h, --help  show this help message and exit
+
+
+
+
+The client library
+-------------------------------------------------------------------------------
+
+This sample uses the `Google Cloud Client Library for Python`_.
+You can read the documentation for more details on API usage and use GitHub
+to `browse the source`_ and  `report issues`_.
+
+.. _Google Cloud Client Library for Python:
+    https://googlecloudplatform.github.io/google-cloud-python/
+.. _browse the source:
+    https://github.com/GoogleCloudPlatform/google-cloud-python
+.. _report issues:
+    https://github.com/GoogleCloudPlatform/google-cloud-python/issues
+
+
+.. _Google Cloud SDK: https://cloud.google.com/sdk/

vision/cloud-client/beta/README.rst.in

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+# This file is used to generate README.rst
+
+product:
+  name: Google Cloud Vision API
+  short_name: Cloud Vision API
+  url: https://cloud.google.com/vision/docs
+  description: >
+    `Google Cloud Vision API`_ allows developers to easily integrate vision
+    detection features within applications, including image labeling, face and
+    landmark detection, optical character recognition (OCR), and tagging of
+    explicit content.
+
+
+    - See the `migration guide`_ for information about migrating to Python client library v0.25.1.
+
+
+    .. _migration guide: https://cloud.google.com/vision/docs/python-client-migration
+
+setup:
+- auth
+- install_deps
+
+samples:
+- name: Web
+  file: web_detect.py
+  show_help: True
+
+cloud_client_library: true