add initial files

app.py

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+import gradio as gr
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.animation import FuncAnimation
+import io
+import librosa
+
+def extract_waveform_animation(audio_file, duration):
+    # Load audio file
+    y, sr = librosa.load(audio_file, sr=None)
+    
+    # Determine the number of frames needed for the specified duration
+    num_frames = int(duration * sr)
+    y = y[:num_frames]
+    
+    # Create a figure and axis for the animation
+    fig, ax = plt.subplots()
+    line, = ax.plot([], [], lw=2)
+    ax.set_xlim(0, duration)
+    ax.set_ylim(np.min(y), np.max(y))
+    
+    # Function to initialize the animation
+    def init():
+        line.set_data([], [])
+        return line,
+    
+    # Function to update the animation frame
+    def update(frame):
+        line.set_data(np.linspace(0, duration, num=len(y[:frame])), y[:frame])
+        return line,
+    
+    # Create the animation
+    ani = FuncAnimation(fig, update, frames=np.arange(0, num_frames, sr // 10), init_func=init, blit=True)
+    
+    # Save the animation to a buffer
+    buf = io.BytesIO()
+    ani.save(buf, format='gif')
+    buf.seek(0)
+    
+    return buf
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=extract_waveform_animation,
+    inputs=[
+        gr.Audio(source="upload", type="file"),
+        gr.Number(label="Duration (seconds)", value=5)
+    ],
+    outputs=gr.Image(type="file", format="gif"),
+    description="Upload an audio file to extract an animation from its waveform. Specify the duration of the animation."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+gradio
+numpy
+librosa
+matplotlib