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import gradio as gr |
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import pandas as pd |
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import numpy as np |
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import gradio as gr |
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import random |
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def flip_text(x): |
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return x[::-1] |
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def flip_image(x): |
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return np.fliplr(x) |
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df = pd.DataFrame({ |
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'Year': np.random.randint(2000, 2024, 25), |
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'Reviews': np.random.randint(120, 320, 25), |
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'age': np.random.randint(18, 30, 25), |
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'ethnicity': [random.choice(["white", "black", "asian"]) for _ in range(25)] |
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}) |
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theme = gr.themes.Soft( |
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primary_hue="yellow", |
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secondary_hue="amber", |
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spacing_size="sm", |
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radius_size="lg", |
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) |
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with gr.Blocks(theme=theme) as demo: |
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gr.ScatterPlot(df, x="Reviews", y="age", color="age") |
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gr.LinePlot(df, x="Year", y="Reviews") |
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gr.Slider(2000, 2024, value=2024, label="Count", info="Choose between 2000 and 2024"), |
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gr.Markdown("Flip text or image files using this demo.") |
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with gr.Tab("User Interface"): |
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text_input = gr.Textbox() |
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text_output = gr.Textbox() |
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text_button = gr.Button("Flip") |
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with gr.Tab("Testing Area"): |
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with gr.Row(): |
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image_input = gr.Image() |
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image_output = gr.Image() |
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image_button = gr.Button("Flip") |
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with gr.Row("Flip Text"): |
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text_input = gr.Textbox() |
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text_output = gr.Textbox() |
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text_button = gr.Button("Flip") |
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with gr.Column(visible=False) as output_col: |
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text_input = gr.Textbox() |
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text_output = gr.Textbox() |
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text_button = gr.Button("Flip") |
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with gr.Accordion("Open for More!", open=False): |
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gr.Markdown("Look at me...") |
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temp_slider = gr.Slider( |
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0, 1, |
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value=0.1, |
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step=0.1, |
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interactive=True, |
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label="Slide me", |
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) |
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text_button.click(flip_text, inputs=text_input, outputs=text_output) |
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image_button.click(flip_image, inputs=image_input, outputs=image_output) |
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track_count = gr.State(1) |
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add_track_btn = gr.Button("Add Track") |
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add_track_btn.click(lambda count: count + 1, track_count, track_count) |
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@gr.render(inputs=track_count) |
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def render_tracks(count): |
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audios = [] |
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volumes = [] |
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with gr.Row(): |
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for i in range(count): |
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with gr.Column(variant="panel", min_width=200): |
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gr.Textbox(placeholder="Data Name", key=f"name-{i}", show_label=False) |
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track_audio = gr.Audio(label=f"Data {i}", key=f"track-{i}") |
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track_volume = gr.Slider(0, 100, value=100, label="Volume", key=f"volume-{i}") |
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audios.append(track_audio) |
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volumes.append(track_volume) |
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def merge(data): |
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sr, output = None, None |
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for audio, volume in zip(audios, volumes): |
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sr, audio_val = data[audio] |
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volume_val = data[volume] |
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final_track = audio_val * (volume_val / 100) |
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if output is None: |
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output = final_track |
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else: |
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min_shape = tuple(min(s1, s2) for s1, s2 in zip(output.shape, final_track.shape)) |
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trimmed_output = output[:min_shape[0], ...][:, :min_shape[1], ...] if output.ndim > 1 else output[:min_shape[0]] |
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trimmed_final = final_track[:min_shape[0], ...][:, :min_shape[1], ...] if final_track.ndim > 1 else final_track[:min_shape[0]] |
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output += trimmed_output + trimmed_final |
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return (sr, output) |
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merge_btn.click(merge, set(audios + volumes), output_audio) |
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merge_btn = gr.Button("Merge Tracks") |
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output_audio = gr.Audio(label="Output", interactive=False) |
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demo.launch() |
