Upload folder using huggingface_hub

.gitignore

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+*.gif

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.

README.md

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 ---
-title: H22222
-emoji: 🐢
-colorFrom: green
-colorTo: green
+title: h22222
+app_file: run.py
 sdk: gradio
 sdk_version: 5.44.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+
+
+def greet(name):
+    return "Hello " + name + "!"
+
+
+demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox")
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio==5.43.1

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", "\n", "def greet(name):\n", "    return \"Hello \" + name + \"!\"\n", "\n", "\n", "demo = gr.Interface(fn=greet, inputs=\"textbox\", outputs=\"textbox\")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

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+import gradio as gr
+
+
+def greet(name):
+    return "Hello " + name + "!"
+
+
+demo = gr.Interface(fn=greet, inputs="textbox", outputs="textbox")
+
+if __name__ == "__main__":
+    demo.launch()