Upload folder using huggingface_hub
Browse files- DESCRIPTION.md +1 -0
- README.md +2 -8
- run.ipynb +1 -0
- run.py +6 -0
- screenshot.gif +0 -0
- screenshot.png +0 -0
DESCRIPTION.md
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The simplest possible Gradio demo. It wraps a 'Hello {name}!' function in an Interface that accepts and returns text.
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README.md
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title:
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colorFrom: yellow
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colorTo: indigo
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sdk: gradio
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sdk_version: 3.38.0
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app_file: app.py
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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: chattest
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app_file: run.py
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sdk: gradio
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sdk_version: 3.38.0
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: hello_world\n", "### The simplest possible Gradio demo. It wraps a 'Hello {name}!' function in an Interface that accepts and returns text.\n", " "]}, {"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", "def greet(name):\n", " return \"Hello \" + name + \"!\"\n", "\n", "demo = gr.Interface(fn=greet, inputs=\"text\", outputs=\"text\")\n", " \n", "if __name__ == \"__main__\":\n", " demo.launch() "]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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run.py
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import gradio as gr
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def slow_echo(message, history):
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return f"{len(history)}. {message}"
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demo = gr.ChatInterface(slow_echo).queue().launch()
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screenshot.gif
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screenshot.png
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