GUI and installable package included

GUI.py

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+import tkinter as tk
+from tkinter import ttk
+import subprocess
+
+# Command for spleeter separate
+command = "spleeter separate"
+
+# Create a Tkinter window
+window = tk.Tk()
+window.title("Spleeter GUI")
+
+# Function to execute the command
+def execute_command():
+    # Get the values from the GUI elements
+    input_files = entry_files.get().split()
+    codec = combo_codec.get()
+    mwf = var_mwf.get()
+    duration = entry_duration.get()
+    offset = entry_offset.get()
+    output_path = entry_output_path.get()
+    stft_backend = var_stft_backend.get()
+    filename_format = entry_filename_format.get()
+    params_filename = entry_params_filename.get()
+    verbose = var_verbose.get()
+
+    # Construct the command with the selected options
+    full_command = f"{command} {' '.join(input_files)} --codec {codec}"
+    if mwf:
+        full_command += " --mwf"
+    if duration:
+        full_command += f" --duration {duration}"
+    if offset:
+        full_command += f" --offset {offset}"
+    if output_path:
+        full_command += f" --output_path {output_path}"
+    if stft_backend:
+        full_command += f" --stft-backend {stft_backend}"
+    if filename_format:
+        full_command += f" --filename_format {filename_format}"
+    if params_filename:
+        full_command += f" --params_filename {params_filename}"
+    if verbose:
+        full_command += " --verbose"
+
+    # Execute the command using subprocess
+    subprocess.run(full_command, shell=True)
+
+# Input files
+label_files = tk.Label(window, text="Input Files:")
+label_files.pack()
+entry_files = tk.Entry(window, width=50)
+entry_files.pack()
+
+# Codec selection
+label_codec = tk.Label(window, text="Audio Codec:")
+label_codec.pack()
+var_codec = tk.StringVar()
+combo_codec = ttk.Combobox(window, textvariable=var_codec)
+combo_codec['values'] = ('wav', 'mp3', 'ogg', 'm4a', 'wma', 'flac')
+combo_codec.pack()
+
+# MWF checkbox
+var_mwf = tk.BooleanVar()
+check_mwf = tk.Checkbutton(window, text="Use Multichannel Wiener Filtering", variable=var_mwf, onvalue=True, offvalue=False)
+check_mwf.pack()
+
+# Duration entry
+label_duration = tk.Label(window, text="Duration:")
+label_duration.pack()
+entry_duration = tk.Entry(window)
+entry_duration.pack()
+
+# Offset entry
+label_offset = tk.Label(window, text="Offset:")
+label_offset.pack()
+entry_offset = tk.Entry(window)
+entry_offset.pack()
+
+# Output path entry
+label_output_path = tk.Label(window, text="Output Path:")
+label_output_path.pack()
+entry_output_path = tk.Entry(window)
+entry_output_path.pack()
+
+# STFT backend selection
+label_stft_backend = tk.Label(window, text="STFT Backend:")
+label_stft_backend.pack()
+var_stft_backend = tk.StringVar()
+combo_stft_backend = ttk.Combobox(window, textvariable=var_stft_backend)
+combo_stft_backend['values'] = ('auto', 'tensorflow', 'librosa')
+combo_stft_backend.pack()
+
+# Filename format entry
+label_filename_format = tk.Label(window, text="Filename Format:")
+label_filename_format.pack()
+entry_filename_format = tk.Entry(window)
+entry_filename_format.pack()
+
+# Params filename entry
+label_params_filename = tk.Label(window, text="Params Filename:")
+label_params_filename.pack()
+entry_params_filename = tk.Entry(window)
+entry_params_filename.pack()
+
+# Verbose checkbox
+var_verbose = tk.BooleanVar()
+check_verbose = tk.Checkbutton(window, text="Verbose", variable=var_verbose, onvalue=True, offvalue=False)
+check_verbose.pack()
+
+# Button to execute the command
+button_execute = tk.Button(window, text="Execute", command=execute_command)
+button_execute.pack()
+
+# Start the Tkinter event loop
+window.mainloop()

commands notes

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+https://drive.google.com/file/d/1PA7JhqpiCvGA-0ooZgYFC06XjX-Q2B7T/view?usp=sharing
+(main executable file link)
+
+
+
+This are the command line options:
+
+spleeter separate
+Usage: spleeter separate [OPTIONS] FILES...
+
+Separate audio file(s)
+
+Arguments:
+FILES... List of input audio file path [required]
+
+Options:
+-i, --inputs TEXT (DEPRECATED) placeholder for deprecated
+input option
+
+-a, --adapter TEXT Name of the audio adapter to use for audio
+I/O [default: spleeter.audio.ffmpeg.FFMPEGP
+rocessAudioAdapter]
+
+-b, --bitrate TEXT Audio bitrate to be used for the separated
+output [default: 128k]
+
+-c, --codec [wav|mp3|ogg|m4a|wma|flac]
+Audio codec to be used for the separated
+output [default: wav]
+
+-d, --duration FLOAT Set a maximum duration for processing audio
+(only separate offset + duration first
+seconds of the input file) [default: 600.0]
+
+-s, --offset FLOAT Set the starting offset to separate audio
+from [default: 0.0]
+
+-o, --output_path PATH Path of the output directory to write audio
+files in [default: C:\Users\D\AppData\Local
+\Temp\separated_audio]
+
+-B, --stft-backend [auto|tensorflow|librosa]
+Who should be in charge of computing the
+stfts. Librosa is faster than tensorflow on
+CPU and uses less memory. "auto" will use
+tensorflow when GPU acceleration is
+available and librosa when not [default:
+auto]
+
+
+-f, --filename_format TEXT Template string that will be formatted to
+generatedoutput filename. Such template
+should be Python formattablestring, and
+could use {filename}, {instrument}, and
+{codec}variables [default:
+{filename}/{instrument}.{codec}]
+
+-p, --params_filename TEXT JSON filename that contains params
+[default: spleeter:2stems]
+
+--mwf Whether to use multichannel Wiener filtering
+for separation [default: False]
+
+--verbose Enable verbose logs [default: False]
+--help Show this message and exit.

install_dependencies.bat

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+@echo off
+
+choco install python -y
+choco install ffmpeg -y
+choco install libsndfile -y
+python -m pip install numpy pandas tensorflow spleeter poetry
+
+
+echo Installation completed.
+pause