Delete diarize-dataset.py

diarize-dataset.py

@@ -1,75 +0,0 @@
-import os
-import json
-from rich.console import Console
-from rich.prompt import Prompt
-
-# Initialize Rich Console
-console = Console()
-console.clear()
-
-# Title Screen
-console.print("""[bold cyan]
-=====================================
-      SPEAKER DIARIZATION TOOL
-=====================================
-[/bold cyan]""")
-console.print("This tool processes audio files and generates speaker diarization metadata.")
-console.print("Input and output directories 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__))
-INPUT_DIR = os.path.join(SCRIPT_DIR, "wavs")
-OUTPUT_DIR = os.path.join(SCRIPT_DIR, "jsons")
-
-# Ensure Directories Exist
-os.makedirs(INPUT_DIR, exist_ok=True)
-os.makedirs(OUTPUT_DIR, exist_ok=True)
-
-# Prompt User for Hugging Face Token
-HF_TOKEN = Prompt.ask("[bold cyan]Enter your Hugging Face token[/bold cyan]", default="")
-
-# Validate Token
-if not HF_TOKEN or not HF_TOKEN.startswith("hf_"):
-    console.print("[bold red]Error:[/bold red] Invalid Hugging Face token.", style="red")
-    exit(1)
-
-# Pause to allow user to populate audio directory
-console.print(f"[bold yellow]Please add audio files (WAV format) to the directory: {INPUT_DIR}[/bold yellow]")
-input("\nPress Enter to continue...")
-
-# Validate Audio Files
-audio_files = [f for f in os.listdir(INPUT_DIR) if f.endswith(".wav")]
-if not audio_files:
-    console.print(f"[bold red]Error:[/bold red] No WAV files found in: {INPUT_DIR}", style="red")
-    exit(1)
-
-# Mocked pipeline for diarization (Replace with actual pipeline initialization)
-def mock_pipeline(file_path):
-    """Mocked diarization function, replace with actual implementation."""
-    return [
-        {"speaker": "SPEAKER_1", "start": 0.0, "end": 10.0},
-        {"speaker": "SPEAKER_2", "start": 10.0, "end": 20.0}
-    ]
-
-# Process Audio Files
-console.print(f"[bold green]Found {len(audio_files)} audio file(s). Starting processing...[/bold green]")
-for index, file_name in enumerate(audio_files, start=1):
-    input_path = os.path.join(INPUT_DIR, file_name)
-    output_file = os.path.join(OUTPUT_DIR, f"{os.path.splitext(file_name)[0]}.json")
-
-    console.print(f"Processing: [bold blue]{file_name}[/bold blue] ({index}/{len(audio_files)})")
-
-    try:
-        # Perform diarization (Replace `mock_pipeline` with actual diarization pipeline call)
-        diarization_data = mock_pipeline(input_path)
-
-        # Save output to JSON
-        with open(output_file, "w") as f:
-            json.dump(diarization_data, f, indent=2)
-
-        console.print(f"[bold green]Success:[/bold green] Diarization output saved to: {output_file}", style="green")
-    except Exception as e:
-        console.print(f"[bold red]Error processing {file_name}:[/bold red] {e}", style="red")
-
-console.print("[bold green]All files processed successfully.[/bold green]")
-