JavaScript client library for the OpenWhisk platform. Provides a wrapper around the OpenWhisk APIs.
$ npm install openwhisk // replace with package name....
JavaScript client library for the OpenWhisk platform. Provides a wrapper around the OpenWhisk APIs.
$ npm install openwhisk // replace with package name....
swagger: '2.0' | |
info: | |
version: 1.0.0 | |
title: hello_name | |
x-ibm-name: hello_name | |
host: $(catalog.host) | |
basePath: / | |
paths: | |
/hello_name: | |
get: |
<output id="output_2449884"> | |
<prompt selectionType="RANDOM"> | |
<item>Is there anything else I can help you with?</item> | |
</prompt> | |
<getUserInput> | |
<input> | |
<grammar> | |
<item>Yes</item> | |
</grammar> | |
</input> |
Hello 😎
Here are the references from my presentation at Twilio SIGNAL.
Movie Bot was created using the IBM Watson Dialog and Natural Language Classifier services. The source code for this sample is available on Github. Training files are located in the training folder. This includes the conversation model and [classifier training data](
FROM node:4 | |
RUN mkdir -p /usr/src/app | |
WORKDIR /usr/src/app | |
# Bundle app source | |
COPY . /usr/src/app | |
EXPOSE 1883 | |
EXPOSE 3000 |
time parallel -n0 -j0 "cmd" ::: {1..N} |
extern crate rustc_serialize; | |
use rustc_serialize::json; | |
use rustc_serialize::json::Json; | |
use std::env; | |
#[derive(RustcDecodable, RustcEncodable)] | |
pub struct Greeting { | |
message: String | |
} |
[package] | |
name = "action" | |
version = "0.1.0" | |
authors = ["Me <me@email.com>"] | |
[dependencies] | |
rustc-serialize = "0.3" |
FROM openwhisk/python3action | |
# lapack-dev is available in community repo. | |
RUN echo "http://dl-4.alpinelinux.org/alpine/edge/community" >> /etc/apk/repositories | |
# add package build dependencies | |
RUN apk add --no-cache \ | |
g++ \ | |
lapack-dev \ | |
gfortran |
FROM openwhisk/dockerskeleton:latest | |
ADD actionproxy.py /actionProxy/ |