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import sys
sys.path.append("..")
import os
import shutil
now_dir = os.getcwd()
import soundfile as sf
import librosa
from lib.tools import audioEffects
from assets.i18n.i18n import I18nAuto
i18n = I18nAuto()
import gradio as gr
import tabs.resources as resources
import numpy as np
from scipy.signal import resample
def save_to_wav2(dropbox):
file_path = dropbox.name
target_path = os.path.join("assets","audios", os.path.basename(file_path))
if os.path.exists(target_path):
os.remove(target_path)
print("Replacing old dropdown file...")
shutil.move(file_path, target_path)
return target_path
audio_root = "assets/audios"
audio_others_root = "assets/audios/audio-others"
sup_audioext = {
"wav",
"mp3",
"flac",
"ogg",
"opus",
"m4a",
"mp4",
"aac",
"alac",
"wma",
"aiff",
"webm",
"ac3",
}
audio_paths = [
os.path.join(root, name)
for root, _, files in os.walk(audio_root, topdown=False)
for name in files
if name.endswith(tuple(sup_audioext)) and root == audio_root
]
audio_others_paths = [
os.path.join(root, name)
for root, _, files in os.walk(audio_others_root, topdown=False)
for name in files
if name.endswith(tuple(sup_audioext)) and root == audio_others_root
]
def change_choices3():
audio_paths = [
os.path.join(root, name)
for root, _, files in os.walk(audio_root, topdown=False)
for name in files
if name.endswith(tuple(sup_audioext)) and root == audio_root
]
audio_others_paths = [
os.path.join(root, name)
for root, _, files in os.walk(audio_others_root, topdown=False)
for name in files
if name.endswith(tuple(sup_audioext)) and root == audio_others_root
]
return (
{"choices": sorted(audio_others_paths), "__type__": "update"},
{"choices": sorted(audio_paths), "__type__": "update"},
)
def generate_output_path(output_folder, base_name, extension):
index = 1
while True:
output_path = os.path.join(output_folder, f"{base_name}_{index}.{extension}")
if not os.path.exists(output_path):
return output_path
index += 1
from pydub import AudioSegment
from pydub.silence import detect_nonsilent
import glob
import re
def combine_and_save_audios(
audio1_path, audio2_path, output_path, volume_factor_audio1, volume_factor_audio2
):
audio1 = AudioSegment.from_file(audio1_path)
audio2 = AudioSegment.from_file(audio2_path)
# Verificar cu谩l audio tiene mayor longitud
if len(audio1) > len(audio2):
# Calcular la diferencia en duraci贸n en segundos
diff_duration_seconds = (len(audio1) - len(audio2)) / 1000.0 # Convertir a segundos
print(f"diff_duration_seconds: {diff_duration_seconds} seconds")
# Crear el segmento de silencio en Pydub
silence = AudioSegment.silent(duration=int(diff_duration_seconds)) # Convertir a milisegundos
# Agregar el silencio al audio2 para igualar la duraci贸n
audio2 = audio2 + silence
else:
# Calcular la diferencia en duraci贸n en segundos
diff_duration_seconds = (len(audio2) - len(audio1)) / 1000.0 # Convertir a segundos
print(f"diff_duration_seconds: {diff_duration_seconds} seconds")
# Crear el segmento de silencio en Pydub
silence = AudioSegment.silent(duration=int(diff_duration_seconds)) # Convertir a milisegundos
# Agregar el silencio al audio1 para igualar la duraci贸n
audio1 = audio1 + silence
# Ajustar el volumen de los audios multiplicando por el factor de ganancia
if volume_factor_audio1 != 1.0:
audio1 *= volume_factor_audio1
if volume_factor_audio2 != 1.0:
audio2 *= volume_factor_audio2
# Combinar los audios
combined_audio = audio1.overlay(audio2)
# Guardar el audio combinado en el archivo de salida
combined_audio.export(output_path, format="wav")
def audio_combined(
audio1_path,
audio2_path,
volume_factor_audio1=1.0,
volume_factor_audio2=1.0,
reverb_enabled=False,
compressor_enabled=False,
noise_gate_enabled=False,
):
output_folder = os.path.join(now_dir,"assets", "audios", "audio-outputs")
os.makedirs(output_folder, exist_ok=True)
# Generar nombres 煤nicos para los archivos de salida
base_name = "combined_audio"
extension = "wav"
output_path = generate_output_path(output_folder, base_name, extension)
print(reverb_enabled)
print(compressor_enabled)
print(noise_gate_enabled)
if reverb_enabled or compressor_enabled or noise_gate_enabled:
# Procesa el primer audio con los efectos habilitados
base_name = "effect_audio"
output_path = generate_output_path(output_folder, base_name, extension)
processed_audio_path = audioEffects.process_audio(
audio2_path,
output_path,
reverb_enabled,
compressor_enabled,
noise_gate_enabled,
)
base_name = "combined_audio"
output_path = generate_output_path(output_folder, base_name, extension)
# Combina el audio procesado con el segundo audio usando audio_combined
combine_and_save_audios(
audio1_path,
processed_audio_path,
output_path,
volume_factor_audio1,
volume_factor_audio2,
)
return i18n("Conversion complete!"), output_path
else:
base_name = "combined_audio"
output_path = generate_output_path(output_folder, base_name, extension)
# No hay efectos habilitados, combina directamente los audios sin procesar
combine_and_save_audios(
audio1_path,
audio2_path,
output_path,
volume_factor_audio1,
volume_factor_audio2,
)
return i18n("Conversion complete!"), output_path
def process_audio(file_path):
try:
# load audio file
song = AudioSegment.from_file(file_path)
print(f"Ignore the warning if you saw any...")
# set silence threshold and duration
silence_thresh = -70 # dB
min_silence_len = 750 # ms, adjust as needed
# detect nonsilent parts
nonsilent_parts = detect_nonsilent(song, min_silence_len=min_silence_len, silence_thresh=silence_thresh)
# Create a new directory to store chunks
file_dir = os.path.dirname(file_path)
file_name = os.path.basename(file_path).split('.')[0]
new_dir_path = os.path.join(file_dir, file_name)
os.makedirs(new_dir_path, exist_ok=True)
# Check if timestamps file exists, if so delete it
timestamps_file = os.path.join(file_dir, f"{file_name}_timestamps.txt")
if os.path.isfile(timestamps_file):
os.remove(timestamps_file)
# export chunks and save start times
segment_count = 0
for i, (start_i, end_i) in enumerate(nonsilent_parts):
chunk = song[start_i:end_i]
chunk_file_path = os.path.join(new_dir_path, f"chunk{i}.wav")
chunk.export(chunk_file_path, format="wav")
print(f"Segment {i} created!")
segment_count += 1
# write start times to file
with open(timestamps_file, "a", encoding="utf-8") as f:
f.write(f"{chunk_file_path} starts at {start_i} ms\n")
print(f"Total segments created: {segment_count}")
print(f"Split all chunks for {file_path} successfully!")
return "Finish", new_dir_path
except Exception as e:
print(f"An error occurred: {e}")
return "Error", None
def merge_audio(timestamps_file):
try:
# Extract prefix from the timestamps filename
prefix = os.path.basename(timestamps_file).replace('_timestamps.txt', '')
timestamps_dir = os.path.dirname(timestamps_file)
print(timestamps_dir)
print(prefix)
# Open the timestamps file
with open(timestamps_file, "r", encoding="utf-8") as f:
lines = f.readlines()
# Initialize empty list to hold audio segments
audio_segments = []
last_end_time = 0
print(f"Processing file: {timestamps_file}")
for line in lines:
# Extract filename and start time from line
match = re.search(r"(chunk\d+.wav) starts at (\d+) ms", line)
if match:
filename, start_time = match.groups()
start_time = int(start_time)
# Construct the complete path to the chunk file
chunk_file = os.path.join(timestamps_dir, prefix, filename)
# Add silence from last_end_time to start_time
silence_duration = max(start_time - last_end_time, 0)
silence = AudioSegment.silent(duration=silence_duration)
audio_segments.append(silence)
# Load audio file and append to list
audio = AudioSegment.from_wav(chunk_file)
audio_segments.append(audio)
# Update last_end_time
last_end_time = start_time + len(audio)
print(f"Processed chunk: {chunk_file}")
# Concatenate all audio_segments and export
merged_filename = f"{prefix}_merged.wav"
merged_audio = sum(audio_segments)
merged_audio.export(os.path.join(timestamps_dir, "audio-outputs", merged_filename), format="wav")
print(f"Exported merged file: {merged_filename}\n")
except Exception as e:
print(f"An error occurred: {e}")
def merge_audios():
gr.Markdown(
value="## " + i18n("Merge your generated audios with the instrumental")
)
with gr.Row():
with gr.Column():
dropbox = gr.File(label=i18n("Drag your audio here:"))
gr.Markdown(value=i18n("### Instrumental settings:"))
input_audio1 = gr.Dropdown(
label=i18n("Choose your instrumental:"),
choices=sorted(audio_others_paths),
value="",
interactive=True,
)
input_audio1_scale = gr.Slider(
minimum=0,
maximum=10,
label=i18n("Volume of the instrumental audio:"),
value=1.00,
interactive=True,
)
gr.Markdown(value=i18n("### Audio settings:"))
input_audio3 = gr.Dropdown(
label=i18n("Select the generated audio"),
choices=sorted(audio_paths),
value="",
interactive=True,
)
with gr.Row():
input_audio3_scale = gr.Slider(
minimum=0,
maximum=10,
label=i18n("Volume of the generated audio:"),
value=1.00,
interactive=True,
)
gr.Markdown(value=i18n("### Add the effects:"))
reverb_ = gr.Checkbox(
label=i18n("Reverb"),
value=False,
interactive=True,
)
compressor_ = gr.Checkbox(
label=i18n("Compressor"),
value=False,
interactive=True,
)
noise_gate_ = gr.Checkbox(
label=i18n("Noise Gate"),
value=False,
interactive=True,
)
with gr.Row():
butnone = gr.Button(i18n("Merge"), variant="primary").style(
full_width=True
)
refresh_button = gr.Button(
i18n("Refresh"), variant="primary"
).style(full_width=True)
vc_output1 = gr.Textbox(label=i18n("Output information:"))
vc_output2 = gr.Audio(
label=i18n(
"Export audio (click on the three dots in the lower right corner to download)"
),
type="filepath",
)
dropbox.upload(
fn=save_to_wav2, inputs=[dropbox], outputs=[input_audio1]
)
refresh_button.click(
fn=lambda: change_choices3(),
inputs=[],
outputs=[input_audio1, input_audio3],
)
butnone.click(
fn=audio_combined,
inputs=[
input_audio1,
input_audio3,
input_audio1_scale,
input_audio3_scale,
reverb_,
compressor_,
noise_gate_,
],
outputs=[vc_output1, vc_output2],
)
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