gradio/demo/kitchen_sink.py

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import gradio as gr
import numpy as np
from typing import List
CHOICES = ["foo", "bar", "baz"]
def generate_tone(note=0, octave=1, duration=3):
sr = 48000
a4_freq, tones_from_a4 = 440, 12 * (octave - 4) + (note - 9)
frequency = a4_freq * 2 ** (tones_from_a4 / 12)
duration = int(duration)
audio = np.linspace(0, duration, duration * sr)
audio = (20000 * np.sin(audio * (2 * np.pi * frequency))).astype(np.int16)
return sr, audio
def fn(
*args,
**kwargs,
):
return (
"Sample output text",
{
"positive": 0.287,
"negative": 0.517,
"neutral": 0.197,
},
generate_tone(),
np.ones((300, 300, 3)),
)
iface = gr.Interface(
fn,
inputs=[
gr.inputs.Textbox(label="Textbox"),
gr.inputs.Number(label="Number", default=42),
gr.inputs.Slider(label="Slider"),
gr.inputs.Checkbox(label="Checkbox"),
gr.inputs.CheckboxGroup(label="CheckboxGroup", choices=CHOICES),
gr.inputs.Radio(label="Radio", choices=CHOICES),
gr.inputs.Dropdown(label="Dropdown", choices=CHOICES),
gr.inputs.Image(label="Image"),
# TODO(Uncomment those when supported by the React version)
# gr.inputs.Video(),
# gr.inputs.Audio(),
# gr.inputs.File(),
# gr.inputs.Dataframe(),
],
outputs=[
gr.outputs.Textbox(),
gr.outputs.Label(),
gr.outputs.Audio(type="numpy"),
gr.outputs.Image(type="numpy"),
],
theme="huggingface",
)
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if __name__ == "__main__":
iface.launch()