Commit
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1dc0f0f
1
Parent(s):
2f40a85
add duration param
Browse files
app.py
CHANGED
@@ -5,15 +5,11 @@ from matplotlib.animation import FuncAnimation
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import io
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import librosa
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import tempfile
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import os
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def extract_waveform_animation(audio_file
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# Load audio file
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y, sr = librosa.load(audio_file, sr=None)
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# Determine the number of frames needed for the specified duration
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num_frames = int(duration * sr)
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y = y[:num_frames]
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# Create a figure and axis for the animation
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fig, ax = plt.subplots()
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@@ -28,15 +24,17 @@ def extract_waveform_animation(audio_file, duration):
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# Function to update the animation frame
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def update(frame):
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return line,
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# Create the animation
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ani = FuncAnimation(fig, update, frames=np.arange(0,
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# Save the animation to a temporary file
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with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as tmpfile:
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ani.save(tmpfile.name, writer='ffmpeg', fps=
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video_path = tmpfile.name
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return video_path
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@@ -44,12 +42,9 @@ def extract_waveform_animation(audio_file, duration):
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# Define the Gradio interface
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iface = gr.Interface(
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fn=extract_waveform_animation,
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inputs=
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],
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outputs=gr.Video(),
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description="Upload an audio file to extract a video animation from its waveform. Specify the duration of the animation."
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)
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# Launch the app
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import io
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import librosa
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import tempfile
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def extract_waveform_animation(audio_file):
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# Load audio file
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y, sr = librosa.load(audio_file, sr=None)
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duration = librosa.get_duration(y=y, sr=sr)
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# Create a figure and axis for the animation
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fig, ax = plt.subplots()
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# Function to update the animation frame
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def update(frame):
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start = frame * sr
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end = min(start + sr, len(y))
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line.set_data(np.linspace(0, duration, num=len(y[:end])), y[:end])
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return line,
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# Create the animation
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ani = FuncAnimation(fig, update, frames=np.arange(0, int(duration)), init_func=init, blit=True)
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# Save the animation to a temporary file
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with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as tmpfile:
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ani.save(tmpfile.name, writer='ffmpeg', fps=1)
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video_path = tmpfile.name
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return video_path
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# Define the Gradio interface
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iface = gr.Interface(
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fn=extract_waveform_animation,
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inputs=gr.Audio(source="upload", type="file"),
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outputs=gr.Video(type="file"),
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description="Upload an audio file to extract a video animation from its waveform."
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)
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# Launch the app
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