Initial commit with translated description

scripts/transcribe.py

@@ -0,0 +1,70 @@
+#!/usr/bin/env python3
+"""Local speech-to-text using OpenAI Whisper (runs offline after model download)."""
+
+import json
+import sys
+import warnings
+
+import click
+
+warnings.filterwarnings("ignore")
+
+MODELS = ["tiny", "tiny.en", "base", "base.en", "small", "small.en",
+          "medium", "medium.en", "large-v3", "turbo"]
+
+
+@click.command()
+@click.argument("audio_file", type=click.Path(exists=True))
+@click.option("-m", "--model", default="base", type=click.Choice(MODELS), help="Whisper model size")
+@click.option("-l", "--language", default=None, help="Language code (auto-detect if omitted)")
+@click.option("-t", "--timestamps", is_flag=True, help="Include word-level timestamps")
+@click.option("-j", "--json", "as_json", is_flag=True, help="Output as JSON")
+@click.option("-q", "--quiet", is_flag=True, help="Suppress progress messages")
+def main(audio_file, model, language, timestamps, as_json, quiet):
+    """Transcribe audio using OpenAI Whisper (local)."""
+    try:
+        import whisper
+    except ImportError:
+        click.echo("Error: openai-whisper not installed", err=True)
+        sys.exit(1)
+
+    if not quiet:
+        click.echo(f"Loading model: {model}...", err=True)
+
+    try:
+        whisper_model = whisper.load_model(model)
+    except Exception as e:
+        click.echo(f"Error loading model: {e}", err=True)
+        sys.exit(1)
+
+    if not quiet:
+        click.echo(f"Transcribing: {audio_file}...", err=True)
+
+    try:
+        result = whisper_model.transcribe(audio_file, language=language,
+                                          word_timestamps=timestamps, verbose=False)
+    except Exception as e:
+        click.echo(f"Error transcribing: {e}", err=True)
+        sys.exit(1)
+
+    text = result["text"].strip()
+
+    if as_json:
+        output = {"text": text, "language": result.get("language", "unknown")}
+        if timestamps and "segments" in result:
+            output["segments"] = [
+                {"start": s["start"], "end": s["end"], "text": s["text"],
+                 **({"words": s["words"]} if "words" in s else {})}
+                for s in result["segments"]
+            ]
+        click.echo(json.dumps(output, indent=2, ensure_ascii=False))
+    else:
+        click.echo(text)
+        if timestamps and "segments" in result:
+            click.echo("\n--- Segments ---", err=True)
+            for seg in result["segments"]:
+                click.echo(f"  [{seg['start']:.2f}s - {seg['end']:.2f}s]: {seg['text']}", err=True)
+
+
+if __name__ == "__main__":
+    main()