Upload app.py

app.py

@@ -0,0 +1,107 @@
+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()