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https://github.com/Paillat-dev/viralfactory.git
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⬆️ Upgrade dependency gradio to v4.38.1
This commit is contained in:
26
pdm.lock
generated
26
pdm.lock
generated
@@ -5,7 +5,7 @@
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groups = ["default", "lint"]
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strategy = ["cross_platform", "inherit_metadata"]
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lock_version = "4.4.2"
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content_hash = "sha256:a460650c474e07488d31f76e90e034f15cbc67293d27208da5b6b39420835a46"
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content_hash = "sha256:42a2d07b3b52392a040d23b8a09003ed62416212019b3ab8b733c23c7dda6c03"
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[[package]]
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name = "absl-py"
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@@ -700,14 +700,14 @@ files = [
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[[package]]
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name = "exceptiongroup"
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version = "1.2.1"
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version = "1.2.2"
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requires_python = ">=3.7"
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summary = "Backport of PEP 654 (exception groups)"
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groups = ["default"]
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marker = "python_version < \"3.11\""
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files = [
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{file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"},
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{file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
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{file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
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{file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
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]
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[[package]]
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@@ -968,23 +968,23 @@ files = [
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[[package]]
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name = "gradio"
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version = "4.31.3"
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version = "4.38.1"
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requires_python = ">=3.8"
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summary = "Python library for easily interacting with trained machine learning models"
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groups = ["default"]
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dependencies = [
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"aiofiles<24.0,>=22.0",
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"altair<6.0,>=4.2.0",
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"altair<6.0,>=5.0",
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"fastapi",
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"ffmpy",
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"gradio-client==0.16.3",
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"gradio-client==1.1.0",
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"httpx>=0.24.1",
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"huggingface-hub>=0.19.3",
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"importlib-resources<7.0,>=1.3",
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"jinja2<4.0",
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"markupsafe~=2.0",
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"matplotlib~=3.0",
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"numpy~=1.0",
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"numpy<3.0,>=1.0",
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"orjson~=3.0",
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"packaging",
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"pandas<3.0,>=1.0",
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@@ -1002,13 +1002,13 @@ dependencies = [
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"uvicorn>=0.14.0; sys_platform != \"emscripten\"",
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]
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files = [
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{file = "gradio-4.31.3-py3-none-any.whl", hash = "sha256:5b98caaf5515614e0caca0c54e932a66039b7af9e980621331472b7bfacda9ca"},
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{file = "gradio-4.31.3.tar.gz", hash = "sha256:e1c62551d30861a456c4122e3809b09129a7587e18c08305d2eb8c3e789eca38"},
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{file = "gradio-4.38.1-py3-none-any.whl", hash = "sha256:003c80fccb475869d76ddd9f8f1c7e85d14b0088a7eabc10558304930f33367b"},
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{file = "gradio-4.38.1.tar.gz", hash = "sha256:8c24cb4e8e391b327e4c537e2ed3b57bcfb35d222bf786a657d27469bfc1667c"},
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]
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[[package]]
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name = "gradio-client"
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version = "0.16.3"
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version = "1.1.0"
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requires_python = ">=3.8"
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summary = "Python library for easily interacting with trained machine learning models"
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groups = ["default"]
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@@ -1021,8 +1021,8 @@ dependencies = [
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"websockets<12.0,>=10.0",
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]
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files = [
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{file = "gradio_client-0.16.3-py3-none-any.whl", hash = "sha256:faba47cfd3c742bf7e454166ecd7e82de09a77c5798e35f1ffa97b2af8747dab"},
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{file = "gradio_client-0.16.3.tar.gz", hash = "sha256:e35a9b36e67fe57fce932aa08f759c3ec6c8a7fa9faee3b169d74a2acc347454"},
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{file = "gradio_client-1.1.0-py3-none-any.whl", hash = "sha256:5f117fa1163f5673f7f45a226919503a3c1747ee4bbfc6002c6a69386e6e5a57"},
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{file = "gradio_client-1.1.0.tar.gz", hash = "sha256:823ef2b9ab9b869ffebc51c994efec1f58132795239fe1090ef7dd9cf474d1e4"},
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]
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[[package]]
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