Fixed some Markdown formatting and moved the Buzz README to the correct location.

This commit is contained in:
Bob Aman 2011-10-06 11:53:53 +03:00
parent 0484a9af6e
commit 9f9e3bea5e
2 changed files with 68 additions and 8 deletions

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examples/buzz/README.md Normal file
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# Buzz Ruby Sample
This is a simple starter project written in Ruby which provides a minimal
example of Buzz integration within a Sinatra web application.
Once you've run the starter project and played with the features it provides,
this starter project provides a great place to start your experimentation into
the API.
## Prerequisites
Please make sure that all of these are installed before you try to run the
sample.
- Ruby 1.8.7+
- Ruby Gems 1.3.7+
- Are you on a Mac? If so, be sure you have XCode 3.2+
- A few gems (run 'sudo gem install <gem name>' to install)
-- sinatra
-- httpadapter
-- extlib
-- dm-sqlite-adapter
-- google-api-ruby-client
## Setup Authentication
This API uses OAuth 2.0. Learn more about Google APIs and OAuth 2.0 here:
http://code.google.com/apis/accounts/docs/OAuth2.html
Or, if you'd like to dive right in, follow these steps.
- Visit https://code.google.com/apis/console/ to register your application.
- From the "Project Home" screen, activate access to "Buzz API".
- Click on "API Access" in the left column
- Click the button labeled "Create an OAuth2 client ID"
- Give your application a name and click "Next"
- Select "Web Application" as the "Application type"
- Under "Your Site or Hostname" select "http://" as the protocol and enter
"localhost" for the domain name
- click "Create client ID"
Edit the buzz.rb file and enter the values for the following properties that
you retrieved from the API Console:
- `oauth_client_id`
- `oauth_client_secret`
Or, include them in the command line as the first two arguments.
## Running the Sample
I'm assuming you've checked out the code and are reading this from a local
directory. If not check out the code to a local directory.
1. Start up the embedded Sinatra web server
$ ruby buzz.rb
2. Open your web browser and see your activities! Go to `http://localhost:4567/`
3. Be inspired and start hacking an amazing new web app!

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@ -15,7 +15,8 @@ formatted data into Google Storage.
1 - You must first create the bucket you want to use. This can be done
with the gsutil function or via the web UI (Storage Access) in the Google
APIs Console. i.e.
`$ gsutil mb gs://BUCKET`
$ gsutil mb gs://BUCKET
OR
@ -25,12 +26,13 @@ and create your bucket there.
2 - We now load the data you want to use to Google Storage. We have supplied a
basic language identification dataset in the sample for testing.
`$ chmod 744 setup.sh`
`$ ./setup.sh BUCKET/OBJECT`
$ chmod 744 setup.sh
$ ./setup.sh BUCKET/OBJECT
Note you need gsutil in your path for this to work.
If you have your own dataset, you can do this manually as well.
`$ gsutil cp your_dataset.csv gs://BUCKET/your_dataset.csv`
$ gsutil cp your_dataset.csv gs://BUCKET/your_dataset.csv
In the script, you must then modify the datafile string. This must correspond with the
@ -51,8 +53,8 @@ API. You can also set it up so the user can grant access.
First, run the google-api script to generate access and refresh tokens. Ex.
`$ cd google-api-ruby-client`
`$ ruby bin/google-api oauth-2-login --scope=https://www.googleapis.com/auth/prediction --client-id=NUMBER.apps.googleusercontent.com --client-secret=CLIENT_SECRET`
$ cd google-api-ruby-client
$ ruby bin/google-api oauth-2-login --scope=https://www.googleapis.com/auth/prediction --client-id=NUMBER.apps.googleusercontent.com --client-secret=CLIENT_SECRET
Fill in your client-id and client-secret from the API Access page. You will
probably have to set a redirect URI in your client ID
@ -81,7 +83,8 @@ At this, point, you should have
loading the generated .yaml file
We can now run the service!
`$ ruby prediction.rb`
$ ruby prediction.rb
This should start a service on `http://localhost:4567`. When you hit the service,
your ruby logs should show the Prediction API calls, and print the prediction
@ -91,4 +94,3 @@ This sample currently does not cover some newer features of Prediction API such
as streaming training, hosted models or class weights. If there are any
questions or suggestions to improve the script please email us at
prediction-api-discuss@googlegroups.com.