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