{"repo":"akutuzov/webvectors","free":true,"listed":false,"github":"https://github.com/akutuzov/webvectors","clone":"git clone https://github.com/akutuzov/webvectors.git","description":"Web-ify your word2vec: framework to serve distributional semantic models online","language":"Python","stars":202,"topics":["gensim","word2vec","web-app","flask","distributional-semantics","embedding-models"],"license":"GPL-3.0","category":"api-integrations-sdks","readme_excerpt":"webvectors Webvectors is a toolkit to serve vector semantic models (particularly, prediction-based word embeddings, as in word2vec or ELMo ) over the web, making it easy to demonstrate their abilities to general public. It requires Python = 3.6, and uses Flask , Gensim and simple elmo under the hood. Working demos: https://rusvectores.org (for Russian) http://vectors.nlpl.eu/explore/embeddings/ (for English and Norwegian) The service can be either integrated into Apache web server as a WSGI application or run as a standalone server using Gunicorn (we recommend the latter option). Brief installation instructions 0. Clone WebVectors git repository ( git clone https://github.com/akutuzov/webvectors.git ) into a directory acessible by your web server. 1. Install Apache for Apache integration or Gunicorn for standalone server. 2. Install all the Python requirements ( pip3 install -r requirements.txt ) 3. If you want to use PoS tagging for user queries, install UDPipe, Stanford CoreNLP, Freeling or other PoS-tagger of your choice. 4. Configure the files: For Apache installation variant Add the following line to Apache configuration file: WSGIScriptAlias /WEBNAME \"PATH/syn.wsgi\" , where WEBNAME is the alias for your service relative to the server root (webvectors for http://example.com/webvectors ), and PATH is your filesystem path to the WebVectors directory. For all installation variants In all .wsgi and .py files in your WebVectors directory, replace webvectors.cfg in the string ","default_branch":null,"files":null,"tree":[],"storefront":"/r/akutuzov","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/akutuzov/webvectors/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}