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