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README.md
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@@ -5,7 +5,7 @@ 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:
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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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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: 6.0.0
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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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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: hello_world_4"]}, {"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, intensity):\n", " return \"Hello, \" + name + \"!\" * int(intensity)\n", "\n", "demo = gr.Interface(\n", " fn=greet,\n", " inputs=[\"text\", \"slider\"],\n", " outputs=[\"text\"],\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: hello_world_4"]}, {"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, intensity):\n", " return \"Hello, \" + name + \"!\" * int(intensity)\n", "\n", "demo = gr.Interface(\n", " fn=greet,\n", " inputs=[\"text\", \"slider\"],\n", " outputs=[\"text\"],\n", " api_name=\"predict\"\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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@@ -7,6 +7,7 @@ demo = gr.Interface(
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fn=greet,
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inputs=["text", "slider"],
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outputs=["text"],
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)
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if __name__ == "__main__":
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fn=greet,
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inputs=["text", "slider"],
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outputs=["text"],
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api_name="predict"
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)
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if __name__ == "__main__":
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