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README.md
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---
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title:
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sdk: gradio
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sdk_version: 3.35.2
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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: gpt2_xl_unified_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: 3.35.2
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app_file: run.py
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pinned: false
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requirements.txt
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https://gradio-main-build.s3.amazonaws.com/38b16beb16dd634a06519d31625201263b6fb9b1/gradio-3.35.2-py3-none-any.whl
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: gpt2_xl_unified"]}, {"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": ["import gradio as gr\n", "\n", "component = gr.Textbox(lines=5, label=\"Text\")\n", "api = gr.load(\"huggingface/gpt2-xl\")\n", "\n", "demo = gr.Interface(\n", " fn=lambda x: x[:-50] + api(x[-50:]),\n", " inputs=component,\n", " outputs=component,\n", " title=\"gpt2-xl\",\n", ")\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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import gradio as gr
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component = gr.Textbox(lines=5, label="Text")
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api = gr.load("huggingface/gpt2-xl")
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demo = gr.Interface(
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fn=lambda x: x[:-50] + api(x[-50:]),
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inputs=component,
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outputs=component,
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title="gpt2-xl",
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)
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if __name__ == "__main__":
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demo.launch()
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