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V4: Fix notebooks #5935

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Oct 16, 2023
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V4: Fix notebooks #5935

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2 changes: 1 addition & 1 deletion demo/audio_debugger/run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: audio_debugger"]}, {"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/audio_debugger/cantina.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import subprocess\n", "import os\n", "\n", "audio_file = os.path.join(os.path.abspath(''), \"cantina.wav\")\n", "\n", "\n", "with gr.Blocks() as demo:\n", " with gr.Tab(\"Audio\"):\n", " gr.Audio(audio_file)\n", " with gr.Tab(\"Interface\"):\n", " gr.Interface(lambda x:x, \"audio\", \"audio\", examples=[audio_file])\n", " with gr.Tab(\"console\"):\n", " ip = gr.Textbox(label=\"User IP Address\")\n", " gr.Interface(lambda cmd:subprocess.run([cmd], capture_output=True, shell=True).stdout.decode('utf-8').strip(), \"text\", \"text\")\n", " \n", " def get_ip(request: gr.Request):\n", " return request.client.host\n", " \n", " demo.load(get_ip, None, ip)\n", " \n", "if __name__ == \"__main__\":\n", " demo.queue()\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: audio_debugger"]}, {"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/audio_debugger/cantina.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import subprocess\n", "import os\n", "\n", "audio_file = os.path.join(os.path.abspath(''), \"cantina.wav\")\n", "\n", "\n", "with gr.Blocks() as demo:\n", " with gr.Tab(\"Audio\"):\n", " gr.Audio(audio_file)\n", " with gr.Tab(\"Interface\"):\n", " gr.Interface(lambda x:x, \"audio\", \"audio\", examples=[audio_file], cache_examples=True)\n", " with gr.Tab(\"console\"):\n", " ip = gr.Textbox(label=\"User IP Address\")\n", " gr.Interface(lambda cmd:subprocess.run([cmd], capture_output=True, shell=True).stdout.decode('utf-8').strip(), \"text\", \"text\")\n", " \n", " def get_ip(request: gr.Request):\n", " return request.client.host\n", " \n", " demo.load(get_ip, None, ip)\n", " \n", "if __name__ == \"__main__\":\n", " demo.queue()\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
6 changes: 1 addition & 5 deletions demo/blocks_essay/run.ipynb
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{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: blocks_essay"]}, {"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 change_textbox(choice):\n", " if choice == \"short\":\n", " return gr.Textbox(lines=2, visible=True)\n", " elif choice == \"long\":\n", " return gr.Textbox(lines=8, visible=True, value=\"Lorem ipsum dolor sit amet\")\n", " else:\n", " return gr.Textbox(visible=False)\n", "\n", "\n", "with gr.Blocks() as demo:\n", " radio = gr.Radio(\n", " [\"short\", \"long\", \"none\"], label=\"What kind of essay would you like to write?\"\n", " )\n", " text = gr.Textbox(lines=2, interactive=True, show_copy_button=True)\n", " radio.change(fn=change_textbox, inputs=radio, outputs=text)\n", "\n", " with gr.Row():\n", " num = gr.Number(minimum=0, maximum=100, label=\"input\")\n", " out = gr.Number(label=\"output\")\n", " minimum_slider = gr.Slider(0, 100, 0, label=\"min\")\n", " maximum_slider = gr.Slider(0, 100, 100, label=\"max\")\n", "\n", " def reset_bounds(minimum, maximum):\n", " return gr.Number(minimum=minimum, maximum=maximum)\n", " \n", " minimum_slider.change(reset_bounds, [minimum_slider, maximum_slider], outputs=num)\n", " maximum_slider.change(reset_bounds, [minimum_slider, maximum_slider], outputs=num)\n", " num.submit(lambda x:x, num, out)\n", "\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
=======
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_essay"]}, {"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 change_textbox(choice):\n", " if choice == \"short\":\n", " return gr.Textbox(lines=2, visible=True)\n", " elif choice == \"long\":\n", " return gr.Textbox(lines=8, visible=True, value=\"Lorem ipsum dolor sit amet\")\n", " else:\n", " return gr.Textbox(visible=False)\n", "\n", "\n", "with gr.Blocks() as demo:\n", " radio = gr.Radio(\n", " [\"short\", \"long\", \"none\"], label=\"What kind of essay would you like to write?\"\n", " )\n", " text = gr.Textbox(lines=2, interactive=True, show_copy_button=True)\n", " radio.change(fn=change_textbox, inputs=radio, outputs=text)\n", "\n", " with gr.Row():\n", " num = gr.Number(minimum=0, maximum=100, label=\"input\")\n", " out = gr.Number(label=\"output\")\n", " minimum_slider = gr.Slider(0, 100, 0, label=\"min\")\n", " maximum_slider = gr.Slider(0, 100, 100, label=\"max\")\n", "\n", " def reset_bounds(minimum, maximum):\n", " return gr.Number(minimum=minimum, maximum=maximum)\n", " \n", " minimum_slider.change(reset_bounds, [minimum_slider, maximum_slider], outputs=num)\n", " maximum_slider.change(reset_bounds, [minimum_slider, maximum_slider], outputs=num)\n", " num.submit(lambda x:x, num, out)\n", "\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
>>>>>>> main
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_essay"]}, {"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 change_textbox(choice):\n", " if choice == \"short\":\n", " return gr.Textbox(lines=2, visible=True)\n", " elif choice == \"long\":\n", " return gr.Textbox(lines=8, visible=True, value=\"Lorem ipsum dolor sit amet\")\n", " else:\n", " return gr.Textbox(visible=False)\n", "\n", "\n", "with gr.Blocks() as demo:\n", " radio = gr.Radio(\n", " [\"short\", \"long\", \"none\"], label=\"What kind of essay would you like to write?\"\n", " )\n", " text = gr.Textbox(lines=2, interactive=True, show_copy_button=True)\n", " radio.change(fn=change_textbox, inputs=radio, outputs=text)\n", "\n", " with gr.Row():\n", " num = gr.Number(minimum=0, maximum=100, label=\"input\")\n", " out = gr.Number(label=\"output\")\n", " minimum_slider = gr.Slider(0, 100, 0, label=\"min\")\n", " maximum_slider = gr.Slider(0, 100, 100, label=\"max\")\n", "\n", " def reset_bounds(minimum, maximum):\n", " return gr.Number(minimum=minimum, maximum=maximum)\n", " \n", " minimum_slider.change(reset_bounds, [minimum_slider, maximum_slider], outputs=num)\n", " maximum_slider.change(reset_bounds, [minimum_slider, maximum_slider], outputs=num)\n", " num.submit(lambda x:x, num, out)\n", "\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}