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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: save_file_no_output"]}, {"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 random\n", "import string\n", "import gradio as gr
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: save_file_no_output"]}, {"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 random\n", "import string\n", "import gradio as gr\n", "\n", "def save_image_random_name(image):\n", " random_string = ''.join(random.choices(string.ascii_letters, k=20)) + '.png'\n", " image.save(random_string)\n", " print(f\"Saved image to {random_string}!\")\n", "\n", "demo = gr.Interface(\n", " fn=save_image_random_name,\n", " inputs=gr.Image(type=\"pil\"),\n", " outputs=None,\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 random
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import string
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import gradio as gr
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def save_image_random_name(image):
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random_string = ''.join(random.choices(string.ascii_letters, k=20)) + '.png'
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print(f"Saved image to {random_string}!")
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demo = gr.Interface(
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fn=save_image_random_name,
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inputs=gr.Image(type="pil"),
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outputs=None,
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)
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if __name__ == "__main__":
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demo.launch()
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import random
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import string
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import gradio as gr
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def save_image_random_name(image):
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random_string = ''.join(random.choices(string.ascii_letters, k=20)) + '.png'
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print(f"Saved image to {random_string}!")
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demo = gr.Interface(
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fn=save_image_random_name,
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inputs=gr.Image(type="pil"),
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outputs=None,
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)
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if __name__ == "__main__":
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demo.launch()
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