Update app.py
Browse filesAdding in the basic interface structure
app.py
CHANGED
@@ -1,107 +1,121 @@
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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
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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.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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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()
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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 random
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def show_stars():
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""" Function that shows the HTML script for stars -Janika"""
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stars_html = """
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<style>
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/* Title */
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.title-text {
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color: white;
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font-family: sans-serif;
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font-size: 1rem;
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font-weight: bold;
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}
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/* Empty stars */
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.star-rating {
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display: inline-block;
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font-size: 2em;
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color: lightgray;
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}
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/* Filled stars */
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.star-rating .star.filled {
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color: gold;
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}
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/* Box for the whole star rating component */
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.rating-box {
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border: 1px transparent;
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background-color: #1f2937;
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padding: 10px;
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border-radius: 5px;
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width: fit-content;
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margin-left: 0;
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}
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/* Box for the title */
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.title-box {
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border: 1px transparent;
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background-color: #ca8a04;
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padding: 3px;
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border-radius: 5px;
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display: inline-block;
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margin-bottom: 6px;
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}
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/* Box for stars */
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.star-box {
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border: 1px transparent;
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background-color: #374151;
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padding: 10px;
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border-radius: 5px;
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width: fit-content;
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margin: 0;
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}
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</style>
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<div class="rating-box">
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<div class="title-box">
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<p class="title-text">Star rating</p>
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</div>
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<div class="star-box">
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<div class="star-rating" data-rating="4">
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<span class="star">★</span>
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<span class="star">★</span>
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<span class="star">★</span>
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<span class="star">★</span>
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<span class="star">★</span>
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</div>
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</div>
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</div>
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<script>
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document.addEventListener('DOMContentLoaded', function() {
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const ratingElement = document.querySelector('.star-rating');
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const rating = parseInt(ratingElement.getAttribute('data-rating'));
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const stars = ratingElement.querySelectorAll('.star');
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for (let i = 0; i < rating; i++) {
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stars[i].classList.add('filled');
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}
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});
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</script>
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"""
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return stars_html
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# Random data for testing, actual data added later
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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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})
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# Theme
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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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# Basic user interface for company's view -Janika
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with gr.Tab("User Interface"):
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# Summary
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summary_output = gr.Textbox(label="Summary")
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# Star rating
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star_rating = gr.HTML(value=show_stars())
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# Keywords
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keywords_output = gr.Textbox(label="Keywords")
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# Testing Area, for Piitu -Janika
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with gr.Tab("Testing Area"):
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with gr.Row():
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text_input = gr.Textbox()
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demo.launch()
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