spacy-api-docker | spaCy REST API , wrapped in a Docker container | Natural Language Processing library

 by   jgontrum Python Version: Current License: MIT

kandi X-RAY | spacy-api-docker Summary

kandi X-RAY | spacy-api-docker Summary

spacy-api-docker is a Python library typically used in Artificial Intelligence, Natural Language Processing, Docker applications. spacy-api-docker has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

spaCy REST API, wrapped in a Docker container.
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            kandi-support Support

              spacy-api-docker has a low active ecosystem.
              It has 226 star(s) with 80 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 15 open issues and 17 have been closed. On average issues are closed in 138 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of spacy-api-docker is current.

            kandi-Quality Quality

              spacy-api-docker has 0 bugs and 0 code smells.

            kandi-Security Security

              spacy-api-docker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              spacy-api-docker code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              spacy-api-docker is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              spacy-api-docker releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              spacy-api-docker saves you 164 person hours of effort in developing the same functionality from scratch.
              It has 407 lines of code, 31 functions and 12 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spacy-api-docker and discovered the below as its top functions. This is intended to give you an instant insight into spacy-api-docker implemented functionality, and help decide if they suit your requirements.
            • Handles GET request
            • Return a list of the dep - type labels
            • Get a list of entity types
            • Get a list of POS labels
            • Respond to HTTP POST request
            • Return a JSON representation of the document
            • Get a spacy model by name
            • Respond to dependencies
            • Serialize the document
            • Respond to POST request
            • Return a list of strings
            • Start all the models
            Get all kandi verified functions for this library.

            spacy-api-docker Key Features

            No Key Features are available at this moment for spacy-api-docker.

            spacy-api-docker Examples and Code Snippets

            No Code Snippets are available at this moment for spacy-api-docker.

            Community Discussions

            Trending Discussions on spacy-api-docker

            QUESTION

            How to expose spaCy as an Rest API?
            Asked 2020-Apr-01 at 15:12

            I am interested in using the spaCy python library for my own open source project. What I am searching for is a Rest-based API. What is necessary or what is the recommended way to expose the spaCy api via a common Rest interface? I already took a look into the spacy services and the spacy-api-docker project form jgontrum. But it seems there is no offical rest api available and everyone have to do it by himself. If so, what is the best way to wrap a python spaCy method/script into a rest api? There seems to be frameworks like falcon, hug and flask to help me in doing this.

            But is it the recommended approach to write my own rest api server with one of these frameworks or is there something I have overseen and spaCy is already available via a rest api interface?

            ...

            ANSWER

            Answered 2020-Apr-01 at 15:12

            spaCy is not deeply tied to any framework, so you can choose your favorite and use it.

            Another option you might consider is FastAPI. For example, here's a simple spaCy entity recognition API:

            Source https://stackoverflow.com/questions/60964785

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install spacy-api-docker

            You can download it from GitHub.
            You can use spacy-api-docker like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            displaCy frontend is available here.
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            CLONE
          • HTTPS

            https://github.com/jgontrum/spacy-api-docker.git

          • CLI

            gh repo clone jgontrum/spacy-api-docker

          • sshUrl

            git@github.com:jgontrum/spacy-api-docker.git

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