gpt2-app | A Flask Web App for Generating Text with GPT-2 | Natural Language Processing library

 by   jingw222 Python Version: Current License: MIT

kandi X-RAY | gpt2-app Summary

kandi X-RAY | gpt2-app Summary

gpt2-app is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. gpt2-app 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.

A Flask Web App for Generating Text with GPT-2
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              gpt2-app has a low active ecosystem.
              It has 28 star(s) with 15 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              gpt2-app has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of gpt2-app is current.

            kandi-Quality Quality

              gpt2-app has 0 bugs and 0 code smells.

            kandi-Security Security

              gpt2-app has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              gpt2-app code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              gpt2-app 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

              gpt2-app 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.
              gpt2-app saves you 296 person hours of effort in developing the same functionality from scratch.
              It has 715 lines of code, 47 functions and 23 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed gpt2-app and discovered the below as its top functions. This is intended to give you an instant insight into gpt2-app implemented functionality, and help decide if they suit your requirements.
            • Constructs an interaction model
            • Decode a list of tokens
            • Encodes text using bpe
            • Return the bpe of the given token
            • Generate a sample of a model
            • Create Flask application instance
            Get all kandi verified functions for this library.

            gpt2-app Key Features

            No Key Features are available at this moment for gpt2-app.

            gpt2-app Examples and Code Snippets

            No Code Snippets are available at this moment for gpt2-app.

            Community Discussions

            QUESTION

            Flask app serving GPT2 on Google Cloud Run not persisting downloaded files?
            Asked 2021-Mar-30 at 16:27

            I have a Flask app running on Google Cloud Run, which needs to download a large model (GPT-2 from huggingface). This takes a while to download, so I am trying to set up so that it only downloads on deployment and then just serves this up for subsequent visits. That is I have the following code in a script that is imported by my main flask app app.py:

            ...

            ANSWER

            Answered 2021-Mar-30 at 16:27

            Data written to the filesystem does not persist when the container instance is stopped.

            Cloud Run lifetime is the time between an HTTP Request and the HTTP response. Overlapped requests extend this lifetime. Once the final HTTP response is sent your container can be stopped.

            Cloud Run instances can run on different hardware (clusters). One instance will not have the same temporary data as another instance. Instances can be moved. Your strategy of downloading a large file and saving it to the in-memory file system will not work consistently.

            Filesystem access

            Also note that the file system is in-memory, which means you need to have additional memory to store files.

            Source https://stackoverflow.com/questions/66873983

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

            Vulnerabilities

            No vulnerabilities reported

            Install gpt2-app

            You can download it from GitHub.
            You can use gpt2-app 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

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/jingw222/gpt2-app.git

          • CLI

            gh repo clone jingw222/gpt2-app

          • sshUrl

            git@github.com:jingw222/gpt2-app.git

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