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[update] Auto trim the audio file #104

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[update] Auto trim the audio file #104

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1 change: 1 addition & 0 deletions setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
'einops-exts==0.0.4',
'ema-pytorch==0.2.3',
'encodec==0.1.1',
'ffmpeg-python==0.2.0',
'gradio>=3.42.0',
'huggingface_hub',
'importlib-resources==5.12.0',
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23 changes: 20 additions & 3 deletions stable_audio_tools/interface/gradio.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,7 @@
import gc
import os
import ffmpeg

import numpy as np
import gradio as gr
import json
Expand Down Expand Up @@ -185,16 +188,30 @@ def progress_callback(callback_info):
scale_phi = cfg_rescale
)

# Convert to WAV file
# Convert to WAV file (temporary file)
audio = rearrange(audio, "b d n -> d (b n)")
audio = audio.to(torch.float32).div(torch.max(torch.abs(audio))).clamp(-1, 1).mul(32767).to(torch.int16).cpu()
torchaudio.save("output.wav", audio, sample_rate)
torchaudio.save("temp_output.wav", audio, sample_rate)

# Trim audio using ffmpeg
trim_audio("temp_output.wav", "output.wav", seconds_total)

# Let's look at a nice spectrogram too
audio_spectrogram = audio_spectrogram_image(audio, sample_rate=sample_rate)

return ("output.wav", [audio_spectrogram, *preview_images])

def trim_audio(input_file, output_file, duration_seconds):
stream = ffmpeg.input(input_file)
audio_stream = stream.audio
trimmed = audio_stream.filter('atrim', end=duration_seconds)
output = ffmpeg.output(trimmed, output_file)
if os.path.exists(output_file):
os.remove(output_file)
ffmpeg.run(output)
os.remove(input_file) # removes the temp file
return

def generate_uncond(
steps=250,
seed=-1,
Expand Down Expand Up @@ -399,7 +416,7 @@ def create_sampling_ui(model_config, inpainting=False):
with gr.Row(visible = has_seconds_start or has_seconds_total):
# Timing controls
seconds_start_slider = gr.Slider(minimum=0, maximum=512, step=1, value=0, label="Seconds start", visible=has_seconds_start)
seconds_total_slider = gr.Slider(minimum=0, maximum=512, step=1, value=sample_size//sample_rate, label="Seconds total", visible=has_seconds_total)
seconds_total_slider = gr.Slider(minimum=1, maximum=47, step=1, value=sample_size//sample_rate, label="Seconds total", visible=has_seconds_total)

with gr.Row():
# Steps slider
Expand Down