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import gradio as gr
from datetime import datetime
import random
import string
import os
import pandas as pd
from constants import (
file_dir,
img_dir,
highlighted_text,
highlighted_text_output_2,
highlighted_text_output_1,
random_plot,
random_model3d,
)
demo = gr.Interface(
lambda *args: args[0],
inputs=[
gr.Textbox(value=lambda: datetime.now(), label="Current Time"),
gr.Number(value=lambda: random.random(), label="Ranom Percentage"),
gr.Slider(minimum=-1, maximum=1, 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(
[os.path.join(img_dir, img) for img in os.listdir(img_dir)]
)
),
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(random.randint(0, 10))}
)
),
gr.State(value=lambda: random.choice(string.ascii_lowercase)),
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: [os.path.join(img_dir, img) for img in os.listdir(img_dir)]
),
gr.Chatbot(
value=lambda: random.choice([[("hello", "hi!")], [("bye", "goodbye!")]])
),
gr.Model3D(value=random_model3d),
gr.Plot(value=random_plot),
gr.Markdown(value=lambda: f"### {random.choice(['Hello', 'Hi', 'Goodbye!'])}"),
],
outputs=[
gr.State(value=lambda: random.choice(string.ascii_lowercase))
],
)
if __name__ == "__main__":
demo.launch()
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