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var amazon_assoc_ir_f_call_associates_ads = function(d) { | |
var b = "", c, a; | |
if (typeof JSON !== "undefined") { | |
a = JSON.stringify(d); | |
} else { | |
if (typeof amzn_assoc_utils !== "undefined") { | |
a = amzn_assoc_utils.stringify(d); | |
} else { | |
return; | |
} |
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#!/usr/bin/env python | |
""" | |
Simple Flask application to demonstrate the Google Speech API usage. | |
Install the requirements first: | |
`pip install SpeechRecognition flask` | |
Then just run this file, go to http://127.0.0.1:5000/ | |
and upload an audio (or may be even video) file there, using the html form. | |
(I've tested it with a .wav file only - relying on Google here). |
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license: gpl-3.0 |
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<!-- | |
bower install neo4j-driver | |
bower isntall vivagraphjs | |
python -m SimpleHTTPServer 8002 | |
open http://localhost:8002 | |
--> | |
<html> | |
<head> | |
<meta http-equiv="Content-type" content="text/html; charset=utf-8"> | |
<title>Neo4j NGraph Test</title> |
This snippet of code was posted in 2014 and slightly revised in 2016 and 2017. It was more of a quick'n'dirty script than a polished tool. It is made only for Linux and in Python 2, which has since become outdated.
I currently do not use it, and I suggest you avoid it as well. Please do not expect support for using this script.
🔥 If you need an alternative, @glaucocustodio has kindly suggested EasyVPN in this comment.
The rest of the README is left for historical purposed.
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# Index | |
--------------------------------------------------------------------- | |
curl -XPUT http://localhost:9200/pictures/ -d ' | |
{ | |
"settings": { | |
"analysis": { | |
"analyzer": { | |
"index_analyzer": { | |
"tokenizer": "standard", |