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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() | |