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84 lines
3.6 KiB
Python
Executable File
84 lines
3.6 KiB
Python
Executable File
import gradio as gr
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import numpy as np
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CHOICES = ["foo", "bar", "baz"]
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def fn(text1, text2, num, slider1, slider2, single_checkbox,
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checkboxes, radio, dropdown, im1, im2, im3, im4, video, audio1,
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audio2, file, df1, df2):
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return (
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(text1 if single_checkbox else text2) +
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", selected:" + ", ".join(checkboxes), # Text
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{
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"positive": num / (num + slider1 + slider2),
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"negative": slider1 / (num + slider1 + slider2),
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"neutral": slider2 / (num + slider1 + slider2),
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}, # Label
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(audio1[0], np.flipud(audio1[1])) if audio1 is not None else "files/cantina.wav", # Audio
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np.flipud(im1) if im1 is not None else "files/cheetah1.jpg", # Image
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video, # Video
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[("Height", 70), ("Weight", 150), ("BMI", "22"), (dropdown, 42)], # KeyValues
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[("The", "art"), (" ", None), ("quick", "adj"), (" ", None),
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("brown", "adj"), (" ", None), ("fox", "noun")], # HighlightedText
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{"name": "Jane", "age": 34, "children": checkboxes}, # JSON
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"<button style='background-color: red'>Click Me: " + radio + "</button>", # HTML
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"files/titanic.csv",
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np.ones((4, 3)), # Dataframe
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[im for im in [im1, im2, im3, im4, "files/cheetah1.jpg"] if im is not None], # Carousel
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df2 # Timeseries
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)
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iface = gr.Interface(
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fn,
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inputs=[
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gr.inputs.Textbox(default="Lorem ipsum", label="Textbox"),
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gr.inputs.Textbox(lines=3, placeholder="Type here..",
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label="Textbox 2"),
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gr.inputs.Number(label="Number", default=42),
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gr.inputs.Slider(minimum=10, maximum=20, default=15,
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label="Slider: 10 - 20"),
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gr.inputs.Slider(maximum=20, step=0.04,
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label="Slider: step @ 0.04"),
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gr.inputs.Checkbox(label="Checkbox"),
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gr.inputs.CheckboxGroup(label="CheckboxGroup",
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choices=CHOICES, default=CHOICES[0:2]),
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gr.inputs.Radio(label="Radio", choices=CHOICES, default=CHOICES[2]),
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gr.inputs.Dropdown(label="Dropdown", choices=CHOICES),
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gr.inputs.Image(label="Image", optional=True),
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gr.inputs.Image(label="Image w/ Cropper",
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tool="select", optional=True),
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gr.inputs.Image(label="Sketchpad", source="canvas", optional=True),
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gr.inputs.Image(label="Webcam", source="webcam", optional=True),
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gr.inputs.Video(label="Video", optional=True),
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gr.inputs.Audio(label="Audio", optional=True),
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gr.inputs.Audio(label="Microphone",
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source="microphone", optional=True),
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gr.inputs.File(label="File", optional=True),
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gr.inputs.Dataframe(),
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gr.inputs.Timeseries(x="time", y="value", optional=True),
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],
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outputs=[
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gr.outputs.Textbox(label="Textbox"),
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gr.outputs.Label(label="Label"),
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gr.outputs.Audio(label="Audio"),
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gr.outputs.Image(label="Image"),
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gr.outputs.Video(label="Video"),
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gr.outputs.KeyValues(label="KeyValues"),
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gr.outputs.HighlightedText(label="HighlightedText"),
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gr.outputs.JSON(label="JSON"),
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gr.outputs.HTML(label="HTML"),
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gr.outputs.File(label="File"),
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gr.outputs.Dataframe(label="Dataframe"),
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gr.outputs.Carousel("image", label="Carousel"),
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gr.outputs.Timeseries(x="time", y="value", label="Timeseries")
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],
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theme="huggingface",
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title="Kitchen Sink",
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description="Try out all the components!",
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article="Learn more about [Gradio](http://gradio.app)"
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)
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if __name__ == "__main__":
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iface.launch()
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