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README.md
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sdk: gradio
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sdk_version: 3.
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app_file: run.py
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hf_oauth: true
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sdk: gradio
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sdk_version: 3.48.0
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app_file: run.py
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: blocks_inputs"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/blocks_inputs/lion.jpg"]}, {"cell_type": "code", "execution_count": null, "id": 44380577570523278879349135829904343037, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import os\n", "\n", "\n", "def combine(a, b):\n", " return a + \" \" + b\n", "\n", "\n", "def mirror(x):\n", " return x\n", "\n", "\n", "with gr.Blocks() as demo:\n", "\n", " txt = gr.Textbox(label=\"Input\", lines=2)\n", " txt_2 = gr.Textbox(label=\"Input 2\")\n", " txt_3 = gr.Textbox(value=\"\", label=\"Output\")\n", " btn = gr.Button(value=\"Submit\")\n", " btn.click(combine, inputs=[txt, txt_2], outputs=[txt_3])\n", "\n", " with gr.Row():\n", " im = gr.Image()\n", " im_2 = gr.Image()\n", "\n", " btn = gr.Button(value=\"Mirror Image\")\n", " btn.click(mirror, inputs=[im], outputs=[im_2])\n", "\n", " gr.Markdown(\"## Text Examples\")\n", " gr.Examples(\n", " [[\"hi\", \"Adam\"], [\"hello\", \"Eve\"]],\n", " [txt, txt_2],\n", " txt_3,\n", " combine,\n", " cache_examples=True,\n", " )\n", " gr.Markdown(\"## Image Examples\")\n", " gr.Examples(\n", " examples=[os.path.join(os.path.abspath(''), \"lion.jpg\")],\n", " inputs=im,\n", " outputs=im_2,\n", " fn=mirror,\n", " cache_examples=True,\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: blocks_inputs"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/blocks_inputs/lion.jpg"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import os\n", "\n", "\n", "def combine(a, b):\n", " return a + \" \" + b\n", "\n", "\n", "def mirror(x):\n", " return x\n", "\n", "\n", "with gr.Blocks() as demo:\n", "\n", " txt = gr.Textbox(label=\"Input\", lines=2)\n", " txt_2 = gr.Textbox(label=\"Input 2\")\n", " txt_3 = gr.Textbox(value=\"\", label=\"Output\")\n", " btn = gr.Button(value=\"Submit\")\n", " btn.click(combine, inputs=[txt, txt_2], outputs=[txt_3])\n", "\n", " with gr.Row():\n", " im = gr.Image()\n", " im_2 = gr.Image()\n", "\n", " btn = gr.Button(value=\"Mirror Image\")\n", " btn.click(mirror, inputs=[im], outputs=[im_2])\n", "\n", " gr.Markdown(\"## Text Examples\")\n", " gr.Examples(\n", " [[\"hi\", \"Adam\"], [\"hello\", \"Eve\"]],\n", " [txt, txt_2],\n", " txt_3,\n", " combine,\n", " cache_examples=True,\n", " )\n", " gr.Markdown(\"## Image Examples\")\n", " gr.Examples(\n", " examples=[os.path.join(os.path.abspath(''), \"lion.jpg\")],\n", " inputs=im,\n", " outputs=im_2,\n", " fn=mirror,\n", " cache_examples=True,\n", " )\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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