Upload folder using huggingface_hub
Browse files
README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 4.41.0
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app_file:
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pinned: false
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: login_with_huggingface_main
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emoji: 🔥
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: 4.41.0
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app_file: run.py
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pinned: false
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hf_oauth: true
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requirements.txt
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gradio-client @ git+https://github.com/gradio-app/gradio@8a3e1e289eef90272be78378b3612ebd23f7ab16#subdirectory=client/python
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https://gradio-pypi-previews.s3.amazonaws.com/8a3e1e289eef90272be78378b3612ebd23f7ab16/gradio-4.41.0-py3-none-any.whl
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: login_with_huggingface"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["from __future__ import annotations\n", "\n", "import gradio as gr\n", "from huggingface_hub import whoami\n", "\n", "def hello(profile: gr.OAuthProfile | None) -> str:\n", " if profile is None:\n", " return \"I don't know you.\"\n", " return f\"Hello {profile.name}\"\n", "\n", "def list_organizations(oauth_token: gr.OAuthToken | None) -> str:\n", " if oauth_token is None:\n", " return \"Please deploy this on Spaces and log in to list organizations.\"\n", " org_names = [org[\"name\"] for org in whoami(oauth_token.token)[\"orgs\"]]\n", " return f\"You belong to {', '.join(org_names)}.\"\n", "\n", "with gr.Blocks() as demo:\n", " gr.LoginButton()\n", " m1 = gr.Markdown()\n", " m2 = gr.Markdown()\n", " demo.load(hello, inputs=None, outputs=m1)\n", " demo.load(list_organizations, inputs=None, outputs=m2)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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run.py
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from __future__ import annotations
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import gradio as gr
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from huggingface_hub import whoami
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def hello(profile: gr.OAuthProfile | None) -> str:
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if profile is None:
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return "I don't know you."
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return f"Hello {profile.name}"
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def list_organizations(oauth_token: gr.OAuthToken | None) -> str:
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if oauth_token is None:
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return "Please deploy this on Spaces and log in to list organizations."
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org_names = [org["name"] for org in whoami(oauth_token.token)["orgs"]]
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return f"You belong to {', '.join(org_names)}."
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with gr.Blocks() as demo:
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gr.LoginButton()
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m1 = gr.Markdown()
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m2 = gr.Markdown()
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demo.load(hello, inputs=None, outputs=m1)
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demo.load(list_organizations, inputs=None, outputs=m2)
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if __name__ == "__main__":
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demo.launch()
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