feat: load example audio by default

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import numpy as np
+from scipy.io.wavfile import read
 import matplotlib.pyplot as plt
 import torch
 import math
@@ -38,6 +39,8 @@ To give you some idea, we empirically found that the first PC controls the amoun
 Note that adding these PCs together does not necessarily mean that their effects are additive in the final audio.
 We found sometimes the effects of least important PCs are more perceptible.
 Try to play around with the sliders and buttons and see what you can come up with!
+
+> **_Note:_** To upload your own audio, click X on the top right corner of the input audio block.
 """
 
 SLIDER_MAX = 3
@@ -50,6 +53,7 @@ INFO_PATH = "presets/internal/info.json"
 MASK_PATH = "presets/internal/feature_mask.npy"
 PRESET_PATH = "presets/internal/raw_params.npy"
 TRAIN_INDEX_PATH = "presets/internal/train_index.npy"
+EXAMPLE_PATH = "eleanor_erased.wav"
 
 
 with open(CONFIG_PATH) as fp:
@@ -362,6 +366,7 @@ with gr.Blocks() as demo:
     z = gr.State(torch.zeros_like(mean))
     fx_params = gr.State(mean)
     fx = vec2fx(fx_params.value)
+    sr, y = read(EXAMPLE_PATH)
 
     default_pc_slider = partial(
         gr.Slider, minimum=SLIDER_MIN, maximum=SLIDER_MAX, interactive=True, value=0
@@ -384,7 +389,9 @@ with gr.Blocks() as demo:
 
     with gr.Row():
         with gr.Column():
-            audio_input = default_audio_block(sources="upload", label="Input Audio")
+            audio_input = default_audio_block(
+                sources="upload", label="Input Audio", value=(sr, y)
+            )
             with gr.Row():
                 random_button = gr.Button(
                     f"Randomise PCs",