mirror of
https://github.com/gsi-upm/senpy
synced 2024-11-21 15:52:28 +00:00
Removed nbsphinx
It requires pandoc, which cannot be installed with pip. We can either link to the nbfile or convert the file manually/automatically: ``` nbconvert SenpyClientUse.ipynb --to rst ```
This commit is contained in:
J. Fernando Sánchez
parent
955e17eb2a
commit
188c33332a
@ -2,14 +2,35 @@
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2017-04-10T17:05:31.465571Z",
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"start_time": "2017-04-10T19:05:31.458282+02:00"
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},
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"deletable": true,
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"editable": true
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},
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"source": [
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"# Client"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"collapsed": true,
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"deletable": true,
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"editable": true
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},
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"source": [
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"The built-in senpy client allows you to query any Senpy endpoint. We will illustrate how to use it with the public demo endpoint, and then show you how to spin up your own endpoint using docker."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"source": [
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"Demo Endpoint\n",
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"-------------"
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@ -17,47 +38,88 @@
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"source": [
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"Import Client and send a request"
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"To start using senpy, simply create a new Client and point it to your endpoint. In this case, the latest version of Senpy at GSI."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"ExecuteTime": {
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"end_time": "2017-04-10T17:29:12.827640Z",
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"start_time": "2017-04-10T19:29:12.818617+02:00"
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},
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"collapsed": false,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": [
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"from senpy.client import Client\n",
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"\n",
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"c = Client('http://latest.senpy.cluster.gsi.dit.upm.es/api')\n",
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"r = c.analyse('I like Pizza', algorithm='sentiment140')"
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"c = Client('http://latest.senpy.cluster.gsi.dit.upm.es/api')\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"source": [
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"Print response"
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"Now, let's use that client analyse some queries:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"ExecuteTime": {
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"end_time": "2017-04-10T17:29:14.011657Z",
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"start_time": "2017-04-10T19:29:13.701808+02:00"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"I like Pizza -> marl:Positive\n"
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"collapsed": false,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": [
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"r = c.analyse('I like sugar!!', algorithm='sentiment140')\n",
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"r"
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]
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}
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],
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2017-04-10T17:08:19.616754Z",
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"start_time": "2017-04-10T19:08:19.610767+02:00"
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},
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"deletable": true,
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"editable": true
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},
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"source": [
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"As you can see, that gave us the full JSON result. A more concise way to print it would be:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2017-04-10T17:29:14.854213Z",
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"start_time": "2017-04-10T19:29:14.842068+02:00"
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},
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"collapsed": false,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": [
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"for entry in r.entries:\n",
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" print('{} -> {}'.format(entry['text'], entry['sentiments'][0]['marl:hasPolarity']))"
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@ -65,36 +127,64 @@
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"source": [
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"Obtain a list of available plugins "
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"We can also obtain a list of available plugins with the client:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"ExecuteTime": {
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"end_time": "2017-04-10T17:29:16.245198Z",
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"start_time": "2017-04-10T19:29:16.056545+02:00"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"emoRand\n",
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"rand\n",
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"sentiment140\n"
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]
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}
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],
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"collapsed": false,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": [
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"for plugin in c.request('/plugins')['plugins']:\n",
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" print(plugin['name'])"
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"c.plugins()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"source": [
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"Or, more concisely:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2017-04-10T17:29:17.663275Z",
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"start_time": "2017-04-10T19:29:17.484623+02:00"
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},
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"collapsed": false,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": [
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"c.plugins().keys()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"source": [
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"Local Endpoint\n",
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"--------------"
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@ -102,128 +192,81 @@
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"source": [
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"Run a docker container with Senpy image and default plugins"
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"To run your own instance of senpy, just create a docker container with the latest Senpy image. Using `--default-plugins` you will get some extra plugins to start playing with the API."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"ExecuteTime": {
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"end_time": "2017-04-10T17:29:20.637539Z",
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"start_time": "2017-04-10T19:29:19.938322+02:00"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"a0157cd98057072388bfebeed78a830da7cf0a796f4f1a3fd9188f9f2e5fe562\r\n"
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]
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}
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],
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"source": [
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"!docker run -ti --name 'SenpyEndpoint' -d -p 5000:5000 gsiupm/senpy:0.8.6 --host 0.0.0.0 --default-plugins"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Import client and send a request to localhost"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": [
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"c_local = Client('http://127.0.0.1:5000/api')\n",
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"r = c_local.analyse('Hello world', algorithm='sentiment140')"
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"!docker run -ti --name 'SenpyEndpoint' -d -p 6000:5000 gsiupm/senpy:0.8.6 --host 0.0.0.0 --default-plugins"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"source": [
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"Print response"
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"To use this endpoint:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"ExecuteTime": {
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"end_time": "2017-04-10T17:29:21.263976Z",
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"start_time": "2017-04-10T19:29:21.260595+02:00"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Hello world -> marl:Neutral\n"
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]
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}
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],
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"collapsed": false,
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"deletable": true,
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"editable": true
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},
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"outputs": [],
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"source": [
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"for entry in r.entries:\n",
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" print('{} -> {}'.format(entry['text'], entry['sentiments'][0]['marl:hasPolarity']))"
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"c_local = Client('http://127.0.0.1:6000/api')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"deletable": true,
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"editable": true
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},
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"source": [
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"Obtain a list of available plugins deployed locally"
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"That's all! After you are done with your analysis, stop the docker container:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"ExecuteTime": {
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"end_time": "2017-04-10T17:29:33.226686Z",
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"start_time": "2017-04-10T19:29:22.392121+02:00"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"rand\n",
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"sentiment140\n",
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"emoRand\n"
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]
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}
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],
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"source": [
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"for plugin in c_local.request('/plugins')['plugins']:\n",
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" print(plugin['name'])"
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]
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"collapsed": false,
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"deletable": true,
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"editable": true
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Stop the docker container"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"SenpyEndpoint\n",
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"SenpyEndpoint\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"!docker stop SenpyEndpoint\n",
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"!docker rm SenpyEndpoint"
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@ -233,7 +276,7 @@
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python [default]",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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@ -247,7 +290,26 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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"version": "3.6.0"
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},
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"toc": {
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"colors": {
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"hover_highlight": "#DAA520",
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"running_highlight": "#FF0000",
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"selected_highlight": "#FFD700"
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},
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"moveMenuLeft": true,
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"nav_menu": {
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"height": "68px",
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"width": "252px"
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},
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"navigate_menu": true,
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"number_sections": true,
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"sideBar": true,
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"threshold": 4,
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"toc_cell": false,
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"toc_section_display": "block",
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"toc_window_display": false
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}
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},
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"nbformat": 4,
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@ -1,10 +0,0 @@
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Client demo
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===========
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This video shows how to use senpy through command-line tool.
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.. image:: https://asciinema.org/a/9uwef1ghkjk062cw2t4mhzpyk.png
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:width: 100%
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:target: https://asciinema.org/a/9uwef1ghkjk062cw2t4mhzpyk
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:alt: CLI demo
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@ -1,24 +1,9 @@
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Command line
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============
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In case you want to load modules, which are located in different folders under the root folder, use the next option.
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This video shows how to analyse text directly on the command line using the senpy tool.
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.. code:: bash
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senpy -f .
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The default port used by senpy is 5000, but you can change it using the `--port` flag.
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.. code:: bash
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senpy --port 8080
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Also, the host can be changed where senpy is deployed. The default value is `127.0.0.1`.
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.. code:: bash
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senpy --host 0.0.0.0
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For more options, see the `--help` page.
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Alternatively, you can use the modules included in senpy to build your own application.
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.. image:: https://asciinema.org/a/9uwef1ghkjk062cw2t4mhzpyk.png
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:width: 100%
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||||
:target: https://asciinema.org/a/9uwef1ghkjk062cw2t4mhzpyk
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:alt: CLI demo
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@ -38,7 +38,6 @@ extensions = [
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'sphinxcontrib.httpdomain',
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'sphinx.ext.coverage',
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'sphinx.ext.autosectionlabel',
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'nbsphinx'
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]
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# Add any paths that contain templates here, relative to this directory.
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@ -1,11 +1,17 @@
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Welcome to Senpy's documentation!
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||||
=================================
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.. image:: https://travis-ci.org/gsi-upm/senpy.svg?branch=master
|
||||
:target: https://travis-ci.org/gsi-upm/senpy
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.. image:: https://readthedocs.org/projects/senpy/badge/?version=latest
|
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:target: http://senpy.readthedocs.io/en/latest/
|
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.. image:: https://badge.fury.io/py/senpy.svg
|
||||
:target: https://badge.fury.io/py/senpy
|
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.. image:: https://lab.cluster.gsi.dit.upm.es/senpy/senpy/badges/master/build.svg
|
||||
:target: https://lab.cluster.gsi.dit.upm.es/senpy/senpy/commits/master
|
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.. image:: https://lab.cluster.gsi.dit.upm.es/senpy/senpy/badges/master/coverage.svg
|
||||
:target: https://lab.cluster.gsi.dit.upm.es/senpy/senpy/commits/master
|
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.. image:: https://img.shields.io/pypi/l/requests.svg
|
||||
:target: https://lab.cluster.gsi.dit.upm.es/senpy/senpy/
|
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|
||||
With Senpy, you can easily turn your sentiment or emotion analysis algorithm into a full blown semantic service.
|
||||
Sharing your sentiment analysis with the world has never been easier.
|
||||
|
||||
@ -1,8 +1,48 @@
|
||||
Senpy server
|
||||
============
|
||||
|
||||
Once the server is launched, there is a basic endpoint in the server, which provides a playground to use the plugins that have been loaded.
|
||||
The senpy server is launched via the `senpy` command:
|
||||
|
||||
In case you want to know the different endpoints of the server, there is more information available in the NIF API section_.
|
||||
::
|
||||
|
||||
usage: senpy [-h] [--level logging_level] [--debug] [--default-plugins]
|
||||
[--host HOST] [--port PORT] [--plugins-folder PLUGINS_FOLDER]
|
||||
[--only-install]
|
||||
|
||||
Run a Senpy server
|
||||
|
||||
optional arguments:
|
||||
-h, --help show this help message and exit
|
||||
--level logging_level, -l logging_level
|
||||
Logging level
|
||||
--debug, -d Run the application in debug mode
|
||||
--default-plugins Load the default plugins
|
||||
--host HOST Use 0.0.0.0 to accept requests from any host.
|
||||
--port PORT, -p PORT Port to listen on.
|
||||
--plugins-folder PLUGINS_FOLDER, -f PLUGINS_FOLDER
|
||||
Where to look for plugins.
|
||||
--only-install, -i Do not run a server, only install plugin dependencies
|
||||
|
||||
|
||||
When launched, the server will recursively look for plugins in the specified plugins folder (the current working directory by default).
|
||||
The default server includes a playground and an endpoint with all plugins found.
|
||||
|
||||
By default, senpy will listen only on the `127.0.0.1` address.
|
||||
That means you can only access the API from your (or localhost).
|
||||
You can listen on a different address using the `--host` flag.
|
||||
The default port is 5000.
|
||||
You can change bothbut you can change it using the `--port` flag.
|
||||
|
||||
For instance, to accept connections on port 6000 on any interface:
|
||||
|
||||
.. code:: bash
|
||||
|
||||
senpy --host 0.0.0.0 --port 6000
|
||||
|
||||
For more options, see the `--help` page.
|
||||
|
||||
|
||||
Customizing senpy
|
||||
=================
|
||||
Senpy is built on top of Flask, the web framework.
|
||||
Although it is not the recommendad way, you may customize senpy by extending the extensions, blueprints and modules provided in the senpy module.
|
||||
|
||||
@ -9,7 +9,6 @@ Once installed, the `senpy` command should be available.
|
||||
|
||||
SenpyClientUse
|
||||
server
|
||||
clidemo
|
||||
commandline
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user