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Fix global css [hotfix] (#557)
* updated PyPi version to 2.7.0a101 * updated PyPi version to 2.7.0a102 * updated PyPi version to 2.8.0b * uncache output audio * updated PyPi version to 2.8.0b2 * fix global css path * updated PyPi version to 2.8.0b3 Co-authored-by: Ali Abid <aliabid94@gmail.com>
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@ -7,7 +7,7 @@
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<link rel='stylesheet' href='build/bundle.css'>
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<link rel='stylesheet' href='build/themes.css'>
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<link rel="stylesheet" href="global.css">
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<link rel="stylesheet" href="build/global.css">
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<title>{{ config['title'] or 'Gradio' }}</title>
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<meta property="og:url" content="https://gradio.app/" />
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@ -52,6 +52,7 @@ export default {
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copy({
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targets: [
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{ src: 'public/*', dest: '../gradio/templates/frontend' },
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{ src: 'public/global.css', dest: '../gradio/templates/frontend/build' },
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{ src: 'public/static', dest: '../gradio/templates/frontend' }
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]
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}),
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@ -1,12 +1,14 @@
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Metadata-Version: 1.0
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Metadata-Version: 2.1
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Name: gradio
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Version: 2.8.0b0
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Version: 2.8.0b3
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Summary: Python library for easily interacting with trained machine learning models
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Home-page: https://github.com/gradio-app/gradio-UI
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Author: Abubakar Abid, Ali Abid, Ali Abdalla, Dawood Khan, Ahsen Khaliq
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Author-email: team@gradio.app
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License: Apache License 2.0
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Description: UNKNOWN
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Keywords: machine learning,visualization,reproducibility
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Platform: UNKNOWN
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License-File: LICENSE
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UNKNOWN
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@ -1,5 +1,5 @@
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aiohttp
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analytics-python
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aiohttp
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fastapi
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ffmpy
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markdown-it-py[linkify,plugins]
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@ -9,7 +9,7 @@ pandas
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paramiko
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pillow
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pycryptodome
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pydub
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python-multipart
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pydub
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requests
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uvicorn
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@ -7,7 +7,7 @@
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<link rel='stylesheet' href='build/bundle.css'>
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<link rel='stylesheet' href='build/themes.css'>
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<link rel="stylesheet" href="global.css">
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<link rel="stylesheet" href="build/global.css">
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<title>{{ config['title'] or 'Gradio' }}</title>
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<meta property="og:url" content="https://gradio.app/" />
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@ -1 +1 @@
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2.8.0b
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2.8.0b3
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2
setup.py
2
setup.py
@ -5,7 +5,7 @@ except ImportError:
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setup(
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name="gradio",
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version="2.8.0b",
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version="2.8.0b3",
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include_package_data=True,
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description="Python library for easily interacting with trained machine learning models",
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author="Abubakar Abid, Ali Abid, Ali Abdalla, Dawood Khan, Ahsen Khaliq",
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