Relax version of pydantic dependency in base gradio #12598
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Install Gradio from this PR pip install https://gradio-pypi-previews.s3.amazonaws.com/466de51d5dc987d34aee6f8990e5e54164625725/gradio-6.1.0-py3-none-any.whlInstall Gradio Python Client from this PR pip install "gradio-client @ git+https://github.com/gradio-app/gradio@466de51d5dc987d34aee6f8990e5e54164625725#subdirectory=client/python"Install Gradio JS Client from this PR npm install https://gradio-npm-previews.s3.amazonaws.com/466de51d5dc987d34aee6f8990e5e54164625725/gradio-client-2.0.0.tgz |
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🦄 change detectedThis Pull Request includes changes to the following packages.
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requirements.txt
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| pandas>=1.0,<3.0 | ||
| pillow>=8.0,<13.0 | ||
| pydantic>=2.11.10,<=2.12.4 | ||
| pydantic>=2.0,<=2.12.5 |
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Should we do >=2.0,<3.0 here and keep it narrow in mcp?
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Given how often pydantic releases breaking changes, which causes all Spaces that restart to break, imo it's better to pin
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Actually that's a good point since we install gradio[mcp] on all Spaces anyways
freddyaboulton
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Dec 18, 2025
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Sweet thanks @abidlabs !
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In #12268, we pinned the version of
pydanticto be a very narrow range. I believe that this is leading to CI failures in https://github.com/axolotl-ai-cloud/axolotl/actions/runs/20280132253/job/58280789765?pr=3253, which is preventingaxolotlfrom upgrading to Gradio 6.0.In this PR, I relax the
pydanticdependency for basegradioand only restrict it forgradio[mcp]where it is actually needed.