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import gradio as gr
from datetime import datetime
import os
import random
import string
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def random_plot():
start_year = 2020
x = np.arange(start_year, start_year + 5)
year_count = x.shape[0]
plt_format = "-"
fig = plt.figure()
ax = fig.add_subplot(111)
series = np.arange(0, year_count, dtype=float)
series = series**2
series += np.random.rand(year_count)
ax.plot(x, series, plt_format)
return fig
images = [
"https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
"https://images.unsplash.com/photo-1554151228-14d9def656e4?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=386&q=80",
"https://images.unsplash.com/photo-1542909168-82c3e7fdca5c?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8aHVtYW4lMjBmYWNlfGVufDB8fDB8fA%3D%3D&w=1000&q=80",
]
file_dir = os.path.join(os.path.dirname(__file__), "..", "kitchen_sink", "files")
model3d_dir = os.path.join(os.path.dirname(__file__), "..", "model3D", "files")
highlighted_text_output_1 = [
{
"entity": "I-LOC",
"score": 0.9988978,
"index": 2,
"word": "Chicago",
"start": 5,
"end": 12,
},
{
"entity": "I-MISC",
"score": 0.9958592,
"index": 5,
"word": "Pakistani",
"start": 22,
"end": 31,
},
]
highlighted_text_output_2 = [
{
"entity": "I-LOC",
"score": 0.9988978,
"index": 2,
"word": "Chicago",
"start": 5,
"end": 12,
},
{
"entity": "I-LOC",
"score": 0.9958592,
"index": 5,
"word": "Pakistan",
"start": 22,
"end": 30,
},
]
highlighted_text = "Does Chicago have any Pakistani restaurants"
def random_model3d():
model_3d = random.choice(
[os.path.join(model3d_dir, model) for model in os.listdir(model3d_dir) if model != "source.txt"]
)
return model_3d
components = [
gr.Textbox(value=lambda: datetime.now(), label="Current Time"),
gr.Number(value=lambda: random.random(), label="Random Percentage"),
gr.Slider(minimum=0, maximum=100, randomize=True, label="Slider with randomize"),
gr.Slider(
minimum=0,
maximum=1,
value=lambda: random.random(),
label="Slider with value func",
),
gr.Checkbox(value=lambda: random.random() > 0.5, label="Random Checkbox"),
gr.CheckboxGroup(
choices=["a", "b", "c", "d"],
value=lambda: random.choice(["a", "b", "c", "d"]),
label="Random CheckboxGroup",
),
gr.Radio(
choices=list(string.ascii_lowercase),
value=lambda: random.choice(string.ascii_lowercase),
),
gr.Dropdown(
choices=["a", "b", "c", "d", "e"],
value=lambda: random.choice(["a", "b", "c"]),
),
gr.Image(
value=lambda: random.choice(images)
),
gr.Video(value=lambda: os.path.join(file_dir, "world.mp4")),
gr.Audio(value=lambda: os.path.join(file_dir, "cantina.wav")),
gr.File(
value=lambda: random.choice(
[os.path.join(file_dir, img) for img in os.listdir(file_dir)]
)
),
gr.Dataframe(
value=lambda: pd.DataFrame({"random_number_rows": range(5)}, columns=["one", "two", "three"])
),
gr.ColorPicker(value=lambda: random.choice(["#000000", "#ff0000", "#0000FF"])),
gr.Label(value=lambda: random.choice(["Pedestrian", "Car", "Cyclist"])),
gr.HighlightedText(
value=lambda: random.choice(
[
{"text": highlighted_text, "entities": highlighted_text_output_1},
{"text": highlighted_text, "entities": highlighted_text_output_2},
]
),
),
gr.JSON(value=lambda: random.choice([{"a": 1}, {"b": 2}])),
gr.HTML(
value=lambda: random.choice(
[
'<p style="color:red;">I am red</p>',
'<p style="color:blue;">I am blue</p>',
]
)
),
gr.Gallery(
value=lambda: images
),
gr.Model3D(value=random_model3d),
gr.Plot(value=random_plot),
gr.Markdown(value=lambda: f"### {random.choice(['Hello', 'Hi', 'Goodbye!'])}"),
]
def evaluate_values(*args):
are_false = []
for a in args:
if isinstance(a, (pd.DataFrame, np.ndarray)):
are_false.append(not a.any().any())
elif isinstance(a, str) and a.startswith("#"):
are_false.append(a == "#000000")
else:
are_false.append(not a)
return all(are_false)
with gr.Blocks() as demo:
for i, component in enumerate(components):
component.label = f"component_{str(i).zfill(2)}"
component.render()
clear = gr.ClearButton(value="Clear", components=components)
result = gr.Textbox(label="Are all cleared?")
hide = gr.Button(value="Hide")
reveal = gr.Button(value="Reveal")
clear_button_and_components = components + [clear]
hide.click(
lambda: [c.__class__(visible=False) for c in clear_button_and_components],
inputs=[],
outputs=clear_button_and_components
)
reveal.click(
lambda: [c.__class__(visible=True) for c in clear_button_and_components],
inputs=[],
outputs=clear_button_and_components
)
get_value = gr.Button(value="Get Values")
get_value.click(evaluate_values, components, result)
if __name__ == "__main__":
demo.launch()
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