gradio | Create UIs for your machine learning model | Machine Learning library

 by   gradio-app Python Version: 3.29.0 License: Apache-2.0

kandi X-RAY | gradio Summary

kandi X-RAY | gradio Summary

gradio is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. gradio has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install gradio' or download it from GitHub, PyPI.

Quickly create beautiful user interfaces around your machine learning models. Gradio (pronounced GRAY-dee-oh) makes it easy for you to demo your model in your browser or let people "try it out" by dragging-and-dropping in their own images, pasting text, recording their own voice, etc. and seeing what the model outputs.

            kandi-support Support

              gradio has a medium active ecosystem.
              It has 18771 star(s) with 1253 fork(s). There are 130 watchers for this library.
              There were 10 major release(s) in the last 6 months.
              There are 325 open issues and 1933 have been closed. On average issues are closed in 27 days. There are 10 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of gradio is 3.29.0

            kandi-Quality Quality

              gradio has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              gradio is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              gradio releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 22361 lines of code, 619 functions and 146 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed gradio and discovered the below as its top functions. This is intended to give you an instant insight into gradio implemented functionality, and help decide if they suit your requirements.
            • Initialize the model .
            • Convert image to given dtype .
            • Get a prediction for a given model .
            • Launch the server .
            • Creates the Flask application .
            • Load audio data from a pipeline .
            • Run interpretation on the given input .
            • Convert a squad example into features .
            • Get a prediction for a given example .
            • Render documentation for a function .
            Get all kandi verified functions for this library.

            gradio Key Features

            No Key Features are available at this moment for gradio.

            gradio Examples and Code Snippets

            what does '-q' means in pip install -q ?
            Pythondot img1Lines of Code : 4dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
              -q, --quiet                 Give less output. Option is additive, and can be
                                          used up to 3 times (corresponding to WARNING,
                                          ERROR, and CRITICAL logging levels).

            Community Discussions


            what does '-q' means in pip install -q ?
            Asked 2022-Feb-25 at 06:27

            In the below example, I am trying to install gradio package but I have seen -q flag is used in some tutorials to install packages.What does '-q' flag means in pip install -q ?

            pip install -q gradio



            Answered 2022-Feb-25 at 06:27

            Running pip3 --help gives you this:



            Contextual version conflict error, Microsoft Azure Machine Learning Studio
            Asked 2021-Aug-30 at 05:57

            I'm trying to run this 10 line .ipynb file from Google Colab in Microsoft Azure Machine Learning Studio


            When I get to this step:



            Answered 2021-Aug-30 at 05:57

            The issue is because gradio package using existing Flask package (version 1.0.3). But as your application required Flask>=1.1.1, therefore it is showing error. You need to uninstall the existing Flask package and then install the latest required version.

            To uninstall the existing package: !pip uninstall Flask -y

            To install latest package: !pip install Flask>=1.1.1

            Then, make sure to restart your runtime to pick up the new Flask using the Runtime -> Restart runtime menu.

            Finally, import gradio.


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


            No vulnerabilities reported

            Install gradio

            Prerequisite: Python 3.7+ and that's it!.
            To get Gradio running with a simple "Hello, World" example, follow these three steps:. 1. Install Gradio from pip. 2. Run the code below as a Python script or in a Python notebook (or in a colab notebook). 3. The interface below will appear automatically within the Python notebook, or pop in a browser on http://localhost:7860 if running from a script.


            If you would like to contribute and your contribution is small, you can directly open a pull request (PR). If you would like to contribute a larger feature, we recommend first creating an issue with a proposed design for discussion. Please see our contributing guidelines for more info.
            Find more information at:

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          • PyPI

            pip install gradio

          • CLONE
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          • CLI

            gh repo clone gradio-app/gradio

          • sshUrl


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