Delete isolate-trim.py

isolate-trim.py

@@ -1,144 +0,0 @@
-import os
-import json
-import subprocess
-import pandas as pd
-from rich.console import Console
-from rich.prompt import Prompt
-
-# Initialize Rich Console
-console = Console()
-console.clear()
-
-# Title Screen
-console.print("""[bold cyan]
-=====================================
-      SPEAKER ISOLATION TOOL
-=====================================
-[/bold cyan]""")
-console.print("This tool isolates and trims audio segments based on speaker metadata.")
-console.print("Input directories for WAV and JSON files, and an output directory, will be created in the same folder as this script.")
-
-# Define Paths Relative to Script Location
-SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
-JSON_DIR = os.path.join(SCRIPT_DIR, "jsons")
-AUDIO_DIR = os.path.join(SCRIPT_DIR, "wavs")
-OUTPUT_DIR = os.path.join(SCRIPT_DIR, "targeted")
-
-# Ensure Directories Exist
-os.makedirs(JSON_DIR, exist_ok=True)
-os.makedirs(AUDIO_DIR, exist_ok=True)
-os.makedirs(OUTPUT_DIR, exist_ok=True)
-
-# Pause to allow user to populate directories
-console.print(f"[bold yellow]Please add JSON metadata files to: {JSON_DIR}[/bold yellow]")
-console.print(f"[bold yellow]Please add corresponding WAV audio files to: {AUDIO_DIR}[/bold yellow]")
-input("\nPress Enter to continue...")
-
-# Load and Validate Files
-json_files = [f for f in os.listdir(JSON_DIR) if f.endswith(".json")]
-audio_files = [f for f in os.listdir(AUDIO_DIR) if f.endswith(".wav")]
-
-if not json_files:
-    console.print(f"[bold red]Error:[/bold red] No JSON files found in: {JSON_DIR}", style="red")
-    exit(1)
-if not audio_files:
-    console.print(f"[bold red]Error:[/bold red] No WAV files found in: {AUDIO_DIR}", style="red")
-    exit(1)
-
-console.print(f"[bold green]Found {len(json_files)} JSON file(s) and {len(audio_files)} WAV file(s). Starting processing...[/bold green]")
-
-# Maximum length for trimmed clips (in seconds)
-MAX_CLIP_LENGTH = 30
-
-def crop_and_trim_silence(input_file, output_prefix, max_length):
-    """Crops audio to chunks of max_length seconds and trims silence."""
-    # Step 1: Get the duration of the input audio
-    probe_cmd = [
-        "ffprobe", "-i", input_file, "-show_entries", "format=duration",
-        "-v", "error", "-of", "csv=p=0"
-    ]
-    result = subprocess.run(probe_cmd, stdout=subprocess.PIPE, text=True)
-    duration = float(result.stdout.strip())
-
-    # Step 2: Split into chunks of max_length seconds
-    start_time = 0
-    chunk_index = 1
-    while start_time < duration:
-        end_time = min(start_time + max_length, duration)
-        chunk_output = f"{output_prefix}_chunk{chunk_index:02d}_raw.wav"
-
-        # Crop the audio to the current chunk
-        crop_cmd = [
-            "ffmpeg", "-hide_banner", "-loglevel", "error", "-y",
-            "-i", input_file, "-ss", str(start_time), "-to", str(end_time),
-            "-c", "copy", chunk_output
-        ]
-        subprocess.run(crop_cmd)
-
-        # Step 3: Trim silence from the cropped chunk
-        trimmed_output = f"{output_prefix}_chunk{chunk_index:02d}.wav"
-        trim_cmd = [
-            "ffmpeg", "-hide_banner", "-loglevel", "error", "-y",
-            "-i", chunk_output,
-            "-af", "silenceremove=start_periods=1:start_duration=0.5:start_threshold=-30dB:stop_periods=1:stop_duration=0.5:stop_threshold=-30dB",
-            trimmed_output
-        ]
-        subprocess.run(trim_cmd)
-
-        console.print(f"[green]Processed chunk:[/green] {trimmed_output}")
-
-        # Cleanup the raw chunk
-        os.remove(chunk_output)
-        start_time += max_length
-        chunk_index += 1
-
-# Process Each File
-for json_file in json_files:
-    json_path = os.path.join(JSON_DIR, json_file)
-    wav_file = os.path.join(AUDIO_DIR, os.path.splitext(json_file)[0] + ".wav")
-
-    if not os.path.exists(wav_file):
-        console.print(f"[bold red]Error:[/bold red] Corresponding WAV file not found for {json_file}", style="red")
-        continue
-
-    # Load JSON segments
-    with open(json_path, "r") as f:
-        try:
-            segments = json.load(f)
-        except json.JSONDecodeError:
-            console.print(f"[bold red]Error:[/bold red] JSON file {json_file} is not properly formatted. Skipping.", style="red")
-            continue
-
-    # Process each segment
-    for segment in segments:
-        speaker = segment.get("speaker")
-        start_time = segment.get("start")
-        end_time = segment.get("end")
-
-        if not (speaker and start_time is not None and end_time is not None):
-            console.print(f"[bold yellow]Skipping invalid segment in {json_file}: {segment}[/bold yellow]", style="yellow")
-            continue
-
-        if end_time - start_time < 1.0:
-            console.print(f"[bold yellow]Skipping short segment ({start_time}-{end_time}) for speaker {speaker}.[/bold yellow]", style="yellow")
-            continue
-
-        output_prefix = os.path.join(OUTPUT_DIR, f"{os.path.splitext(json_file)[0]}_{speaker}_{start_time:.2f}-{end_time:.2f}")
-
-        # Extract the segment
-        temp_segment = f"{output_prefix}_raw.wav"
-        extract_cmd = [
-            "ffmpeg", "-hide_banner", "-loglevel", "error", "-y",
-            "-i", wav_file, "-ss", str(start_time), "-to", str(end_time),
-            "-c", "copy", temp_segment
-        ]
-        subprocess.run(extract_cmd)
-
-        # Crop and trim silence
-        crop_and_trim_silence(temp_segment, output_prefix, MAX_CLIP_LENGTH)
-
-        # Cleanup the raw segment
-        os.remove(temp_segment)
-
-console.print("[bold green]All files processed. Check the output directory for results.[/bold green]")
-