Delete identify-speaker.py

identify-speaker.py

@@ -1,178 +0,0 @@
-import os
-import json
-import pandas as pd
-import tempfile
-import subprocess
-from playsound import playsound
-from rich.console import Console
-from rich.prompt import Prompt
-from rich.text import Text
-
-# Initialize Rich Console
-console = Console()
-console.clear()
-
-# Title Screen
-console.print("""[bold cyan]
-=====================================
-     SPEAKER IDENTIFICATION TOOL
-=====================================
-[/bold cyan]""")
-console.print("This tool will identify target speakers in audio files based on provided JSON metadata.")
-console.print("Ensure the paths to JSON and audio files are correct before proceeding.\n")
-
-# Paths
-JSON_DIR = "NO JSON PATH ENTERED"  # JSON files with all speakers
-AUDIO_DIR = "NO WAVS PATH ENTERED"  # Original WAV files
-MAPPING_FILE = "NO MAPPINGS FILE ENTERED"  # Speaker mapping CSV
-
-# Helper Function to Validate Paths
-def validate_path(path, path_type="directory", should_exist=True):
-    """Validate a path and optionally create or exit on failure."""
-    if path_type == "directory":
-        if should_exist and not os.path.isdir(path):
-            console.print(f"[bold red]Error:[/bold red] {path}", style="red")
-            return False
-        elif not should_exist:
-            os.makedirs(path, exist_ok=True)
-    elif path_type == "file":
-        if should_exist and not os.path.isfile(path):
-            console.print(f"[bold yellow]Warning:[/bold yellow] File does not exist: {path}", style="yellow")
-            return False
-    return True
-
-# Validate Paths
-paths_valid = True
-paths_valid &= validate_path(JSON_DIR, "directory")
-paths_valid &= validate_path(AUDIO_DIR, "directory")
-paths_valid &= validate_path(MAPPING_FILE, "file", should_exist=False)
-
-if not paths_valid:
-    console.print("\n[bold red]One or more paths are invalid. Please fix the issues and restart the tool.[/bold red]", style="red")
-    exit(1)
-
-console.print("\n[bold green]All paths validated successfully![/bold green]\n")
-
-# Confirm Start
-start_tool = Prompt.ask("[bold yellow]Are you ready to start identifying speakers?[/bold yellow]", choices=["y", "n"], default="y")
-if start_tool.lower() != "y":
-    console.print("\n[bold red]Exiting tool as per user request.[/bold red]", style="red")
-    exit(0)
-
-# Load or Initialize Mapping File
-df = pd.DataFrame(columns=['json_file', 'target_speaker_label'])
-if os.path.isfile(MAPPING_FILE):
-    df = pd.read_csv(MAPPING_FILE)
-
-# Pre-validate Files
-json_files = [f for f in os.listdir(JSON_DIR) if f.endswith(".json")]
-valid_files = []
-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(json_path) or not os.path.exists(wav_file):
-        console.print(f"[bold yellow]Skipping {json_file}:[/bold yellow] Missing JSON or WAV file.", style="yellow")
-    else:
-        valid_files.append((json_file, json_path, wav_file))
-
-# Display Initial Counts
-console.print(f"[bold green]Found {len(valid_files)} valid file(s) to process.[/bold green]")
-already_mapped_count = 0
-valid_files_to_process = []
-
-# Filter Out Already Mapped Files
-for json_file, json_path, wav_file in valid_files:
-    if json_file in df['json_file'].values and pd.notna(df.loc[df['json_file'] == json_file, 'target_speaker_label'].values[0]):
-        already_mapped_count += 1
-    else:
-        valid_files_to_process.append((json_file, json_path, wav_file))
-
-# Display Count of Already Mapped Files
-if already_mapped_count > 0:
-    console.print(f"[bold blue]Skipped {already_mapped_count} already mapped file(s).[/bold blue]", style="blue")
-
-# Process Files
-for json_index, (json_file, json_path, wav_file) in enumerate(valid_files_to_process, start=1):
-    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
-
-    if not segments:
-        console.print(f"[bold yellow]No segments found in {json_file}. Skipping.[/bold yellow]", style="yellow")
-        continue
-
-    console.print(f"Processing Episode: [bold green]{json_file}[/bold green]", style="bold blue")
-
-    unique_speakers = list(set(seg["speaker"] for seg in segments))
-    target_speaker_label = None
-
-    for speaker_index, speaker_label in enumerate(unique_speakers, start=1):
-        console.print(f"Speaker Number/Total: {speaker_index}/{len(unique_speakers)}", style="cyan")
-
-        speaker_segments = [seg for seg in segments if seg["speaker"] == speaker_label]
-
-        for segment_index, segment in enumerate(speaker_segments, start=1):
-            start_time, end_time = segment["start"], segment["end"]
-
-            if not (2.0 <= end_time - start_time <= 10.0):
-                continue
-
-            with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_segment:
-                segment_path = temp_segment.name
-                cmd = [
-                    "ffmpeg", "-hide_banner", "-loglevel", "error", "-y",
-                    "-i", wav_file, "-ss", str(start_time), "-to", str(end_time), "-c", "copy",
-                    segment_path
-                ]
-                subprocess_run = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-                if subprocess_run.returncode != 0:
-                    console.print(f"[bold red]Error extracting segment {start_time}-{end_time} for speaker {speaker_label}.[/bold red]", style="red")
-                    continue
-
-            try:
-                playsound(segment_path)
-            except Exception as e:
-                console.print(f"[bold red]Error playing segment for speaker {speaker_label}:[/bold red] {e}", style="red")
-                os.remove(segment_path)
-                continue
-
-            os.remove(segment_path)
-
-            user_input = Prompt.ask(f"Is this the target speaker? [Y]es, [N]o, [T]ry Another Segment")
-
-            if user_input.lower() == "y":
-                target_speaker_label = speaker_label
-                break
-            elif user_input.lower() == "n":
-                console.print("[bold magenta]Skipping this speaker and moving to the next one immediately.[/bold magenta]", style="magenta")
-                break
-            elif user_input.lower() == "t":
-                console.print("[bold cyan]Trying another segment for the same speaker.[/bold cyan]", style="cyan")
-                continue
-
-        if target_speaker_label:
-            break
-
-    if target_speaker_label:
-        df = pd.concat([df, pd.DataFrame({"json_file": [json_file], "target_speaker_label": [target_speaker_label]})], ignore_index=True)
-        console.print(f"[bold green]Mapped {json_file} to speaker {target_speaker_label}.[/bold green]", style="green")
-    else:
-        df = pd.concat([df, pd.DataFrame({"json_file": [json_file], "target_speaker_label": ["not-target-speaker"]})], ignore_index=True)
-        console.print(f"[bold yellow]No target speaker identified for {json_file}.[/bold yellow]", style="yellow")
-
-    console.print(f"[bold blue]Processed entries: {json_index}/{len(valid_files_to_process)}[/bold blue]", style="blue")
-    console.print(f"[bold blue]Unprocessed remaining: {len(valid_files_to_process) - json_index}[/bold blue]", style="blue")
-
-    df.to_csv(MAPPING_FILE, index=False)
-    console.print(f"[bold cyan]Mapping saved to {MAPPING_FILE}.[/bold cyan]", style="cyan")
-
-    # Ask user whether to process the next episode
-    continue_processing = Prompt.ask("[bold yellow]Do you want to process the next episode? Default: yes[/bold yellow]", choices=["y", "n"], default="y")
-    if continue_processing.lower() != "y":
-        console.print("[bold red]Stopping processing as per user request.[/bold red]", style="red")
-        break
-
-console.print("[bold green]Processing complete.[/bold green]")