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Rewriting parts of the README and getting started guides for 4.0 (#6767)
* doc rewrite * changes * changes * tip * changes * notebook * add changeset * history * add * quickstart done * readme * changes * quickstart * changes * reorder * link * changes * changes * changes * quickstart done * readme * quickstart * quickstart' * moving around * spaces * readme * guides * guides * links * readme * readme * readme * readme * readme * readme * readme * readme * readme * readme * email address * add changeset * shorten quickstart * readme * Update README.md * readme * changes * Update guides/01_getting-started/01_quickstart.md Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com> * Update guides/01_getting-started/01_quickstart.md Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com> * Update guides/01_getting-started/01_quickstart.md Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com> * changes * changes * remove gr.Interface.load * guides * changes * more changes * changes * sharing * concurrency * changes * changes * components * key features * event listeners * features * notebook * test * guides * changes * changes * changes * transitions * readme links * links * links * guides * new gif * add gif * update gif * Update guides/02_building-interfaces/01_more-on-examples.md * Update guides/03_building-with-blocks/01_blocks-and-event-listeners.md * Update guides/01_getting-started/01_quickstart.md Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com> * Update guides/01_getting-started/02_key-features.md Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com> * Update guides/01_getting-started/02_key-features.md Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com> * Update guides/02_building-interfaces/00_the-interface-class.md Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com> * Update guides/01_getting-started/01_quickstart.md Co-authored-by: Hannah <hannahblair@users.noreply.github.com> * Update guides/01_getting-started/02_key-features.md Co-authored-by: Hannah <hannahblair@users.noreply.github.com> * Update guides/01_getting-started/02_key-features.md Co-authored-by: Hannah <hannahblair@users.noreply.github.com> * changes * replace space * changes --------- Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com> Co-authored-by: Hannah <hannahblair@users.noreply.github.com>
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"gradio": patch | ||
"gradio_client": patch | ||
"website": patch | ||
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fix:Rewriting parts of the README and getting started guides for 4.0 |
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: fake_diffusion\n", "### This demo uses a fake model to showcase iterative output. The Image output will update every time a generator is returned until the final image.\n", " "]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio numpy "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import numpy as np\n", "import time\n", "\n", "# define core fn, which returns a generator {steps} times before returning the image\n", "def fake_diffusion(steps):\n", " for _ in range(steps):\n", " time.sleep(1)\n", " image = np.random.random((600, 600, 3))\n", " yield image\n", " image = np.ones((1000,1000,3), np.uint8)\n", " image[:] = [255, 124, 0]\n", " yield image\n", "\n", "\n", "demo = gr.Interface(fake_diffusion, inputs=gr.Slider(1, 10, 3), outputs=\"image\")\n", "\n", "# define queue - required for generators\n", "demo.queue()\n", "\n", "demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} | ||
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: fake_diffusion\n", "### This demo uses a fake model to showcase iterative output. The Image output will update every time a generator is returned until the final image.\n", " "]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio numpy "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import numpy as np\n", "import time\n", "\n", "def fake_diffusion(steps):\n", " for i in range(steps):\n", " time.sleep(1)\n", " image = np.random.random((600, 600, 3))\n", " yield image\n", " image = np.ones((1000,1000,3), np.uint8)\n", " image[:] = [255, 124, 0]\n", " yield image\n", "\n", "\n", "demo = gr.Interface(fake_diffusion, inputs=gr.Slider(1, 10, 3), outputs=\"image\")\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_blocks"]}, {"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", "with gr.Blocks() as demo:\n", " name = gr.Textbox(label=\"Name\")\n", " output = gr.Textbox(label=\"Output Box\")\n", " greet_btn = gr.Button(\"Greet\")\n", " greet_btn.click(fn=greet, inputs=name, outputs=output, api_name=\"greet\")\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: hello_blocks"]}, {"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):\n", " return \"Hello \" + name + \"!\"\n", "\n", "with gr.Blocks() as demo:\n", " name = gr.Textbox(label=\"Name\")\n", " output = gr.Textbox(label=\"Output Box\")\n", " greet_btn = gr.Button(\"Greet\")\n", " greet_btn.click(fn=greet, inputs=name, outputs=output, api_name=\"greet\")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |
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import gradio as gr | ||
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def greet(name): | ||
return "Hello " + name + "!" | ||
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with gr.Blocks() as demo: | ||
name = gr.Textbox(label="Name") | ||
output = gr.Textbox(label="Output Box") | ||
greet_btn = gr.Button("Greet") | ||
greet_btn.click(fn=greet, inputs=name, outputs=output, api_name="greet") | ||
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if __name__ == "__main__": | ||
demo.launch() | ||
demo.launch() |
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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", "def greet(name):\n", " return \"Hello \" + name + \"!\"\n", "\n", "demo = gr.Interface(fn=greet, inputs=\"text\", outputs=\"text\")\n", " \n", "if __name__ == \"__main__\":\n", " demo.launch(show_api=False) "]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} | ||
{"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", "def greet(name):\n", " return \"Hello \" + name + \"!\"\n", "\n", "demo = gr.Interface(fn=greet, inputs=\"textbox\", outputs=\"textbox\")\n", " \n", "if __name__ == \"__main__\":\n", " demo.launch() "]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: hello_world_2"]}, {"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):\n", " return \"Hello \" + name + \"!\"\n", "\n", "demo = gr.Interface(\n", " fn=greet,\n", " inputs=gr.Textbox(lines=2, placeholder=\"Name Here...\"),\n", " outputs=\"text\",\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: hello_world_2"]}, {"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 \" * intensity + name + \"!\"\n", "\n", "demo = gr.Interface(\n", " fn=greet,\n", " inputs=[\"text\", gr.Slider(value=2, minimum=1, maximum=10)],\n", " outputs=[gr.Textbox(label=\"greeting\", lines=3)],\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |
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import gradio as gr | ||
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def greet(name): | ||
return "Hello " + name + "!" | ||
def greet(name, intensity): | ||
return "Hello " * intensity + name + "!" | ||
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demo = gr.Interface( | ||
fn=greet, | ||
inputs=gr.Textbox(lines=2, placeholder="Name Here..."), | ||
outputs="text", | ||
inputs=["text", gr.Slider(value=2, minimum=1, maximum=10)], | ||
outputs=[gr.Textbox(label="greeting", lines=3)], | ||
) | ||
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if __name__ == "__main__": | ||
demo.launch() |
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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 \" * intensity + name + \"!\"\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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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,13 @@ | ||
import gradio as gr | ||
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def greet(name, intensity): | ||
return "Hello " * intensity + name + "!" | ||
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demo = gr.Interface( | ||
fn=greet, | ||
inputs=["text", "slider"], | ||
outputs=["text"], | ||
) | ||
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if __name__ == "__main__": | ||
demo.launch() |
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