finished revising the script.
This commit is contained in:
@@ -4,14 +4,11 @@ import sys
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from dotenv import load_dotenv
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# Load environment variables from central .env_files directory
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# Path: .../personal_development/video_transcription/ai_transcriber/main.py
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# Target: .../personal_development/.env_files/.env.aitranscribe
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script_dir = os.path.dirname(os.path.abspath(__file__))
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env_path = os.path.abspath(os.path.join(script_dir, '../../.env_files/.env.aitranscribe'))
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if os.path.exists(env_path):
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load_dotenv(env_path)
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# print(f"Loaded configuration from: {env_path}") # Optional: Uncomment for debugging
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else:
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# Fallback: check local .env
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local_env = os.path.join(script_dir, '.env')
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@@ -23,9 +20,11 @@ else:
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from extractor import extract_audio, embed_subtitles
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from transcriber import transcribe_audio, save_as_srt
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from translator import translate_srt
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from translator import translate_srt, translate_fallback_free
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from utils import validate_and_repair_srt
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from diarizer import diarize_audio, merge_diarization_with_transcript
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import tracker
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from tracker import JobStatus
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def save_srt_with_speakers(segments, output_path):
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"""Helper to save SRT with speaker labels prepended to text."""
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@@ -44,7 +43,6 @@ def save_srt_with_speakers(segments, output_path):
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text = segment["text"].strip()
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speaker = segment.get("speaker", "")
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# Prepend speaker if present and not "Unknown"
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if speaker and speaker != "Unknown":
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text = f"[{speaker}]: {text}"
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@@ -54,464 +52,248 @@ def save_srt_with_speakers(segments, output_path):
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print(f"SRT saved to: {output_path}")
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def process_file(file_path, args, source_lang=None):
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print(f"\n=== Processing: {file_path} ===")
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tracker.logger.info(f"=== Processing: {file_path} ===")
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# 1. Extract Audio
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audio_path = extract_audio(file_path)
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# Initialize Job
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job = tracker.get_job(file_path)
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# 2. Transcribe (Generate SRT)
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transcript_file = os.path.splitext(file_path)[0] + ".srt"
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transcript_exists = os.path.exists(transcript_file) and not args.force
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# Variable to hold final SRT path for embedding
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final_srt_path = transcript_file
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if job.status == JobStatus.COMPLETED and not args.force:
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tracker.logger.info("Job already completed. Skipping.")
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return
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if transcript_exists:
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print(f"Transcript exists: {transcript_file}. Skipping transcription.")
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with open(transcript_file, "r", encoding="utf-8") as f:
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srt_content = f.read()
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else:
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# Transcribe
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result = transcribe_audio(audio_path, model_size=args.model, language=source_lang)
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segments = result["segments"]
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tracker.update_job_status(file_path, JobStatus.PROCESSING)
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# Optional: Diarization
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if args.diarize:
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hf_token = args.hf_token or os.getenv("HF_TOKEN")
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if hf_token:
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print("Running Speaker Diarization...")
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diar_segments = diarize_audio(audio_path, hf_token=hf_token)
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if diar_segments:
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segments = merge_diarization_with_transcript(segments, diar_segments)
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print("Diarization merged into transcript.")
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else:
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print("Warning: --diarize requested but HF_TOKEN not provided. Skipping.")
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try:
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# 1. Extract Audio
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tracker.update_step(file_path, "step_extract", "processing")
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audio_path = extract_audio(file_path)
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tracker.update_step(file_path, "step_extract", "done")
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# 2. Transcribe (Generate SRT)
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tracker.update_step(file_path, "step_transcribe", "processing")
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transcript_file = os.path.splitext(file_path)[0] + ".srt"
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transcript_exists = os.path.exists(transcript_file) and not args.force
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final_srt_path = transcript_file
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# Save SRT
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# Use simple save if no speakers, or custom if speakers
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if args.diarize:
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save_srt_with_speakers(segments, transcript_file)
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if transcript_exists:
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tracker.logger.info(f"Transcript exists: {transcript_file}. Skipping transcription.")
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with open(transcript_file, "r", encoding="utf-8") as f:
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srt_content = f.read()
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else:
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save_as_srt(result, transcript_file)
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# Validation
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validate_and_repair_srt(transcript_file)
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with open(transcript_file, "r", encoding="utf-8") as f:
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srt_content = f.read()
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result = transcribe_audio(audio_path, model_size=args.model, language=source_lang)
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segments = result["segments"]
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# 3. Translate (Generate Translated SRT)
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translated_file = os.path.splitext(file_path)[0] + f".{args.lang}.srt"
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translation_success = False
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if args.diarize:
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hf_token = args.hf_token or os.getenv("HF_TOKEN")
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if hf_token:
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tracker.logger.info("Running Speaker Diarization...")
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diar_segments = diarize_audio(audio_path, hf_token=hf_token)
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if diar_segments:
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segments = merge_diarization_with_transcript(segments, diar_segments)
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tracker.logger.info("Diarization merged into transcript.")
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else:
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tracker.logger.warning("Warning: --diarize requested but HF_TOKEN not provided. Skipping.")
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if os.path.exists(translated_file) and not args.force:
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print(f"Translation exists: {translated_file}. Skipping translation.")
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final_srt_path = translated_file
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translation_success = True
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else:
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# Only translate if there is content
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if srt_content:
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translated_srt_content = translate_srt(srt_content, target_language=args.lang)
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if translated_srt_content:
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with open(translated_file, "w", encoding="utf-8") as f:
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f.write(translated_srt_content)
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print(f"Translation saved to: {translated_file}")
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validate_and_repair_srt(translated_file)
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final_srt_path = translated_file
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translation_success = True
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if args.diarize:
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save_srt_with_speakers(segments, transcript_file)
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else:
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print("⚠️ TRANSLATION FAILED.")
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translation_success = False
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save_as_srt(result, transcript_file)
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validate_and_repair_srt(transcript_file)
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with open(transcript_file, "r", encoding="utf-8") as f:
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srt_content = f.read()
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tracker.update_step(file_path, "step_transcribe", "done")
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# 4. Embed Subtitles
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# SAFETY: If translation was intended but failed, do NOT embed/delete to prevent
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# replacing the video with one containing only untranslated subtitles.
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should_embed = args.embed
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if args.embed and not translation_success:
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print("\n❌ SAFETY HALT: Translation failed. Skipping embedding and deletion to preserve original file.")
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should_embed = False
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if should_embed:
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embed_subtitles(file_path, final_srt_path)
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import argparse
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import os
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import sys
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from dotenv import load_dotenv
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# 3. Translate
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tracker.update_step(file_path, "step_translate", "processing")
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# Load environment variables from central .env_files directory
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# Path: .../personal_development/video_transcription/ai_transcriber/main.py
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# Target: .../personal_development/.env_files/.env.aitranscribe
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script_dir = os.path.dirname(os.path.abspath(__file__))
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env_path = os.path.abspath(os.path.join(script_dir, '../../.env_files/.env.aitranscribe'))
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base_translated = os.path.splitext(file_path)[0] + f".{args.lang}.srt"
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deep_translated = os.path.splitext(file_path)[0] + f".{args.lang}.deep_translate.srt"
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if os.path.exists(env_path):
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load_dotenv(env_path)
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print(f"Loaded configuration from: {env_path}")
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translated_file = base_translated # Default
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translation_success = False
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method_used = "None"
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if (os.path.exists(base_translated) or os.path.exists(deep_translated)) and not args.force:
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if os.path.exists(deep_translated):
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translated_file = deep_translated
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method_used = "DeepTranslate (Existing)"
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else:
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method_used = "Gemini (Existing)"
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tracker.logger.info(f"Translation exists: {translated_file} ({method_used}). Skipping translation.")
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final_srt_path = translated_file
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translation_success = True
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else:
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# Fallback: check local .env
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local_env = os.path.join(script_dir, '.env')
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if os.path.exists(local_env):
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load_dotenv(local_env)
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else:
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# Last resort: just try loading generic (cwd)
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load_dotenv()
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from extractor import extract_audio, embed_subtitles
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from transcriber import transcribe_audio, save_as_srt
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from translator import translate_srt, translate_fallback_free
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from utils import validate_and_repair_srt
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from diarizer import diarize_audio, merge_diarization_with_transcript
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import tracker
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from tracker import JobStatus
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# ... (save_srt_with_speakers remains same)
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def process_file(file_path, args, source_lang=None):
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tracker.logger.info(f"=== Processing: {file_path} ===")
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# ... (Job init remains same) ...
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# ... (Step 1 Extract remains same) ...
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# ... (Step 2 Transcribe remains same) ...
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# 3. Translate (Generate Translated SRT)
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tracker.update_step(file_path, "step_translate", "processing")
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if srt_content:
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# Helper functions
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def try_gemini():
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res = translate_srt(srt_content, target_language=args.lang)
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if res:
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with open(base_translated, "w", encoding="utf-8") as f:
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f.write(res)
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return True, base_translated, "Gemini"
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return False, None, None
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def try_deep():
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lang_map = {
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"English": "en", "French": "fr", "Spanish": "es", "German": "de",
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"Italian": "it", "Portuguese": "pt", "Russian": "ru",
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"Japanese": "ja", "Chinese": "zh-CN"
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}
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target_code = lang_map.get(args.lang, "en")
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res = translate_fallback_free(srt_content, target_language=target_code)
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if res:
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with open(deep_translated, "w", encoding="utf-8") as f:
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f.write(res)
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return True, deep_translated, "DeepTranslate"
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return False, None, None
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success = False
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# Define paths
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base_translated = os.path.splitext(file_path)[0] + f".{args.lang}.srt"
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deep_translated = os.path.splitext(file_path)[0] + f".{args.lang}.deep_translate.srt"
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translated_file = base_translated # Default
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translation_success = False
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method_used = "None"
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if (os.path.exists(base_translated) or os.path.exists(deep_translated)) and not args.force:
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if os.path.exists(deep_translated):
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translated_file = deep_translated
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method_used = "DeepTranslate (Existing)"
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else:
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method_used = "Gemini (Existing)"
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tracker.logger.info(f"Translation exists: {translated_file} ({method_used}). Skipping translation.")
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final_srt_path = translated_file
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translation_success = True
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if args.prefer_deep:
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success, path, method = try_deep()
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if not success:
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tracker.logger.info("DeepTranslate failed. Attempting Gemini...")
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success, path, method = try_gemini()
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else:
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# Only translate if there is content
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if srt_content:
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# Attempt 1: Gemini
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translated_srt_content = translate_srt(srt_content, target_language=args.lang)
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if translated_srt_content:
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with open(base_translated, "w", encoding="utf-8") as f:
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f.write(translated_srt_content)
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tracker.logger.info(f"Translation saved to: {base_translated} (Gemini)")
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validate_and_repair_srt(base_translated)
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final_srt_path = base_translated
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translation_success = True
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method_used = "Gemini"
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else:
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# Attempt 2: Fallback
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tracker.logger.warning("Gemini translation failed. Attempting Free Fallback...")
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lang_map = {
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"English": "en", "French": "fr", "Spanish": "es",
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"German": "de", "Italian": "it", "Portuguese": "pt",
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"Russian": "ru", "Japanese": "ja", "Chinese": "zh-CN"
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}
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target_code = lang_map.get(args.lang, "en")
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translated_srt_content = translate_fallback_free(srt_content, target_language=target_code)
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if translated_srt_content:
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translated_file = deep_translated
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with open(translated_file, "w", encoding="utf-8") as f:
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f.write(translated_srt_content)
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tracker.logger.info(f"Translation saved to: {translated_file} (DeepTranslate)")
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validate_and_repair_srt(translated_file)
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final_srt_path = translated_file
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translation_success = True
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method_used = "DeepTranslate"
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else:
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tracker.logger.error("TRANSLATION FAILED (Both Gemini and Fallback).")
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tracker.update_step(file_path, "step_translate", "failed")
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translation_success = False
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if translation_success:
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tracker.update_step(file_path, "step_translate", "done")
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# Log method to tracker DB if we added a column for it, or just info log
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tracker.logger.info(f"Translation Method: {method_used}")
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# 4. Embed Subtitles
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tracker.update_step(file_path, "step_embed", "processing")
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should_embed = args.embed
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if args.embed and not translation_success:
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tracker.logger.warning("SAFETY HALT: Translation failed. Skipping embedding and deletion to preserve original file.")
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should_embed = False
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if should_embed:
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embed_subtitles(file_path, final_srt_path)
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# 5. Delete Source File (Optional & Risky)
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if args.delete_source:
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if args.embed:
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# Safety: Ensure the new subbed video exists before deleting the old one
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base, ext = os.path.splitext(file_path)
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expected_output = f"{base}.subbed{ext}"
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if os.path.exists(expected_output):
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try:
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os.remove(file_path)
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tracker.logger.info(f"SOURCE DELETED: Original file '{file_path}' has been removed.")
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except OSError as e:
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tracker.logger.error(f"Error: Could not delete source file: {e}")
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else:
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tracker.logger.error(f"SAFETY ABORT: Source file NOT deleted. Could not find expected output '{expected_output}'.")
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else:
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tracker.logger.warning("SAFETY ABORT: Source file NOT deleted. You must enable --embed to safely replace the video.")
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tracker.update_step(file_path, "step_embed", "done")
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# 5. Cleanup Audio
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if args.cleanup:
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try:
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os.remove(audio_path)
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tracker.logger.info(f"Cleanup: Removed temporary audio file {audio_path}")
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except OSError as e:
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tracker.logger.warning(f"Warning: Could not remove audio file: {e}")
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# Mark Complete
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if translation_success:
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tracker.update_job_status(file_path, JobStatus.COMPLETED)
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success, path, method = try_gemini()
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if not success:
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tracker.logger.warning("Gemini failed. Attempting DeepTranslate...")
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success, path, method = try_deep()
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if success:
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tracker.logger.info(f"Translation saved to: {path} ({method})")
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validate_and_repair_srt(path)
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final_srt_path = path
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translation_success = True
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method_used = method
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else:
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# If translation failed but we didn't crash, we technically finished the run but result is partial
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tracker.update_job_status(file_path, JobStatus.FAILED, error="Translation failed")
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except Exception as e:
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tracker.logger.exception(f"Job Failed for {file_path}")
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tracker.update_job_status(file_path, JobStatus.FAILED, error=str(e))
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# Don't exit, allow other files to process
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return
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def main():
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parser = argparse.ArgumentParser(description="AI Video Transcriber & Translator")
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parser.add_argument("input", nargs='?', help="Path to video file or directory")
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parser.add_argument("--model", default="auto", choices=["auto", "tiny", "base", "small", "medium", "large"], help="Whisper model size (default: auto)")
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parser.add_argument("--lang", default="English", help="Target language for translation (default: English)")
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parser.add_argument("--source-lang", help="Source language of the audio (e.g., 'fr', 'es'). If omitted, you will be prompted.")
|
||||
parser.add_argument("--force", action="store_true", help="Overwrite existing transcript/translation files")
|
||||
|
||||
# New Arguments
|
||||
parser.add_argument("--cleanup", action="store_true", help="Delete the temporary .wav file after processing")
|
||||
parser.add_argument("--embed", action="store_true", help="Embed the final subtitles into the video (Soft Subs)")
|
||||
parser.add_argument("--diarize", action="store_true", help="Enable speaker diarization (requires HF_TOKEN)")
|
||||
parser.add_argument("--hf-token", help="HuggingFace Token for pyannote.audio (or set HF_TOKEN env var)")
|
||||
parser.add_argument("--delete-source", action="store_true", help="Delete the original video file AFTER successful embedding")
|
||||
parser.add_argument("--retry-failed", action="store_true", help="Retry only jobs marked as FAILED in the database")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if not os.getenv("GEMINI_API_KEY"):
|
||||
print("Warning: GEMINI_API_KEY environment variable not set. Translation step will fail.")
|
||||
|
||||
# Handling Retry Logic
|
||||
if args.retry_failed:
|
||||
print("Retrying failed jobs from database...")
|
||||
failed_files = tracker.get_failed_jobs()
|
||||
if not failed_files:
|
||||
print("No failed jobs found.")
|
||||
return
|
||||
|
||||
# We need args.source_lang logic here too if needed, but for retries we might assume context
|
||||
# For simplicity, we'll prompt if missing just like normal run
|
||||
|
||||
# Determine source language (Prompt if missing)
|
||||
source_lang = args.source_lang
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter the source language of the video(s) (e.g., 'French', 'es').\nPress Enter to use Whisper's auto-detection: ").strip()
|
||||
if user_input:
|
||||
source_lang = user_input
|
||||
tracker.logger.error("TRANSLATION FAILED.")
|
||||
tracker.update_step(file_path, "step_translate", "failed")
|
||||
translation_success = False
|
||||
|
||||
if translation_success:
|
||||
tracker.update_step(file_path, "step_translate", "done")
|
||||
tracker.logger.info(f"Translation Method: {method_used}")
|
||||
|
||||
# 4. Embed Subtitles
|
||||
tracker.update_step(file_path, "step_embed", "processing")
|
||||
should_embed = args.embed
|
||||
if args.embed and not translation_success:
|
||||
tracker.logger.warning("SAFETY HALT: Translation failed. Skipping embedding/deletion.")
|
||||
should_embed = False
|
||||
|
||||
if should_embed:
|
||||
embed_subtitles(file_path, final_srt_path)
|
||||
|
||||
if args.delete_source:
|
||||
if args.embed:
|
||||
base, ext = os.path.splitext(file_path)
|
||||
expected_output = f"{base}.subbed{ext}"
|
||||
|
||||
if os.path.exists(expected_output):
|
||||
try:
|
||||
os.remove(file_path)
|
||||
tracker.logger.info(f"SOURCE DELETED: {file_path}")
|
||||
except OSError as e:
|
||||
tracker.logger.error(f"Error deleting source: {e}")
|
||||
else:
|
||||
source_lang = None # Let Whisper auto-detect
|
||||
print("Selected: Auto-detect")
|
||||
|
||||
for file_path in failed_files:
|
||||
if os.path.exists(file_path):
|
||||
process_file(file_path, args, source_lang)
|
||||
else:
|
||||
print(f"Skipping missing file: {file_path}")
|
||||
return
|
||||
|
||||
# Normal Logic
|
||||
if not args.input:
|
||||
parser.print_help()
|
||||
sys.exit(1)
|
||||
|
||||
# Determine source language (Prompt if missing)
|
||||
source_lang = args.source_lang
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter the source language of the video(s) (e.g., 'French', 'es').\nPress Enter to use Whisper's auto-detection: ").strip()
|
||||
if user_input:
|
||||
source_lang = user_input
|
||||
tracker.logger.error(f"SAFETY ABORT: Output '{expected_output}' not found.")
|
||||
else:
|
||||
source_lang = None # Let Whisper auto-detect
|
||||
print("Selected: Auto-detect")
|
||||
|
||||
if os.path.isfile(args.input):
|
||||
process_file(args.input, args, source_lang)
|
||||
elif os.path.isdir(args.input):
|
||||
video_extensions = ('.mp4', '.mkv', '.mov', '.avi', '.webm', '.flv', '.wmv', '.m4v')
|
||||
found_files = False
|
||||
for root, dirs, files in os.walk(args.input):
|
||||
for file in files:
|
||||
if file.lower().endswith(video_extensions):
|
||||
found_files = True
|
||||
file_path = os.path.join(root, file)
|
||||
process_file(file_path, args, source_lang)
|
||||
if not found_files:
|
||||
print(f"No video files found in {args.input}")
|
||||
else:
|
||||
print(f"Error: Invalid input path '{args.input}'")
|
||||
sys.exit(1)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
tracker.logger.warning("SAFETY ABORT: Enable --embed to delete source.")
|
||||
tracker.update_step(file_path, "step_embed", "done")
|
||||
|
||||
# 5. Cleanup
|
||||
if args.cleanup:
|
||||
try:
|
||||
os.remove(audio_path)
|
||||
tracker.logger.info(f"Cleanup: Removed {audio_path}")
|
||||
except OSError as e:
|
||||
tracker.logger.warning(f"Warning: Could not remove audio: {e}")
|
||||
|
||||
# Mark Complete
|
||||
if translation_success:
|
||||
tracker.update_job_status(file_path, JobStatus.COMPLETED)
|
||||
else:
|
||||
tracker.update_job_status(file_path, JobStatus.FAILED, error="Translation failed")
|
||||
|
||||
except Exception as e:
|
||||
tracker.logger.exception(f"Job Failed for {file_path}")
|
||||
tracker.update_job_status(file_path, JobStatus.FAILED, error=str(e))
|
||||
return
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="AI Video Transcriber & Translator")
|
||||
parser.add_argument("input", help="Path to video file or directory")
|
||||
# Change nargs='?' to nargs='*' or '+' to support multiple inputs
|
||||
parser.add_argument("inputs", nargs='*', help="Path(s) to video file or directory")
|
||||
parser.add_argument("--model", default="auto", choices=["auto", "tiny", "base", "small", "medium", "large"], help="Whisper model size (default: auto)")
|
||||
parser.add_argument("--lang", default="English", help="Target language for translation (default: English)")
|
||||
parser.add_argument("--source-lang", help="Source language of the audio (e.g., 'fr', 'es'). If omitted, you will be prompted.")
|
||||
parser.add_argument("--force", action="store_true", help="Overwrite existing transcript/translation files")
|
||||
|
||||
# New Arguments
|
||||
parser.add_argument("--cleanup", action="store_true", help="Delete the temporary .wav file after processing")
|
||||
parser.add_argument("--embed", action="store_true", help="Embed the final subtitles into the video (Soft Subs)")
|
||||
parser.add_argument("--diarize", action="store_true", help="Enable speaker diarization (requires HF_TOKEN)")
|
||||
parser.add_argument("--hf-token", help="HuggingFace Token for pyannote.audio (or set HF_TOKEN env var)")
|
||||
parser.add_argument("--delete-source", action="store_true", help="Delete the original video file AFTER successful embedding")
|
||||
parser.add_argument("--source-lang", help="Source language of audio. If omitted, prompts user.")
|
||||
parser.add_argument("--force", action="store_true", help="Overwrite existing files")
|
||||
parser.add_argument("--cleanup", action="store_true", help="Delete temporary .wav file")
|
||||
parser.add_argument("--embed", action="store_true", help="Embed subtitles (Soft Subs)")
|
||||
parser.add_argument("--diarize", action="store_true", help="Enable speaker diarization")
|
||||
parser.add_argument("--hf-token", help="HuggingFace Token")
|
||||
parser.add_argument("--delete-source", action="store_true", help="Delete original file after embedding")
|
||||
parser.add_argument("--retry-failed", action="store_true", help="Retry FAILED jobs from DB")
|
||||
parser.add_argument("--prefer-deep", action="store_true", help="Prefer DeepTranslate (Free) over Gemini")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if not os.getenv("GEMINI_API_KEY"):
|
||||
print("Warning: GEMINI_API_KEY environment variable not set. Translation step will fail.")
|
||||
|
||||
# Determine source language (Prompt if missing)
|
||||
source_lang = args.source_lang
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter the source language of the video(s) (e.g., 'French', 'es').\nPress Enter to use Whisper's auto-detection: ").strip()
|
||||
if user_input:
|
||||
source_lang = user_input
|
||||
else:
|
||||
source_lang = None # Let Whisper auto-detect
|
||||
print("Selected: Auto-detect")
|
||||
|
||||
if os.path.isfile(args.input):
|
||||
process_file(args.input, args, source_lang)
|
||||
elif os.path.isdir(args.input):
|
||||
video_extensions = ('.mp4', '.mkv', '.mov', '.avi', '.webm', '.flv', '.wmv', '.m4v')
|
||||
found_files = False
|
||||
for root, dirs, files in os.walk(args.input):
|
||||
for file in files:
|
||||
if file.lower().endswith(video_extensions):
|
||||
found_files = True
|
||||
file_path = os.path.join(root, file)
|
||||
process_file(file_path, args, source_lang)
|
||||
if not found_files:
|
||||
print(f"No video files found in {args.input}")
|
||||
else:
|
||||
print(f"Error: Invalid input path '{args.input}'")
|
||||
source_lang = args.source_lang
|
||||
|
||||
# Retry Logic
|
||||
if args.retry_failed:
|
||||
print("Retrying failed jobs from database...")
|
||||
failed_files = tracker.get_failed_jobs()
|
||||
if not failed_files:
|
||||
print("No failed jobs found.")
|
||||
return
|
||||
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter source language (e.g. 'French'). Enter for Auto: ").strip()
|
||||
source_lang = user_input if user_input else None
|
||||
|
||||
for file_path in failed_files:
|
||||
if os.path.exists(file_path):
|
||||
process_file(file_path, args, source_lang)
|
||||
else:
|
||||
print(f"Skipping missing file: {file_path}")
|
||||
return
|
||||
|
||||
# Normal Logic
|
||||
if not args.inputs:
|
||||
parser.print_help()
|
||||
sys.exit(1)
|
||||
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter source language (e.g. 'French'). Enter for Auto: ").strip()
|
||||
source_lang = user_input if user_input else None
|
||||
print(f"Selected: {source_lang if source_lang else 'Auto-detect'}")
|
||||
|
||||
# Process all inputs
|
||||
video_extensions = ('.mp4', '.mkv', '.mov', '.avi', '.webm', '.flv', '.wmv', '.m4v')
|
||||
|
||||
for input_path in args.inputs:
|
||||
if os.path.isfile(input_path):
|
||||
process_file(input_path, args, source_lang)
|
||||
elif os.path.isdir(input_path):
|
||||
found = False
|
||||
for root, dirs, files in os.walk(input_path):
|
||||
for file in files:
|
||||
if file.lower().endswith(video_extensions):
|
||||
found = True
|
||||
process_file(os.path.join(root, file), args, source_lang)
|
||||
if not found:
|
||||
print(f"No video files found in {input_path}")
|
||||
else:
|
||||
print(f"Error: Invalid input path '{input_path}'")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
main()
|
||||
@@ -4,14 +4,11 @@ import sys
|
||||
from dotenv import load_dotenv
|
||||
|
||||
# Load environment variables from central .env_files directory
|
||||
# Path: .../personal_development/video_transcription/ai_transcriber/main.py
|
||||
# Target: .../personal_development/.env_files/.env.aitranscribe
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
env_path = os.path.abspath(os.path.join(script_dir, '../../.env_files/.env.aitranscribe'))
|
||||
|
||||
if os.path.exists(env_path):
|
||||
load_dotenv(env_path)
|
||||
# print(f"Loaded configuration from: {env_path}") # Optional: Uncomment for debugging
|
||||
else:
|
||||
# Fallback: check local .env
|
||||
local_env = os.path.join(script_dir, '.env')
|
||||
@@ -23,9 +20,11 @@ else:
|
||||
|
||||
from extractor import extract_audio, embed_subtitles
|
||||
from transcriber import transcribe_audio, save_as_srt
|
||||
from translator import translate_srt
|
||||
from translator import translate_srt, translate_fallback_free
|
||||
from utils import validate_and_repair_srt
|
||||
from diarizer import diarize_audio, merge_diarization_with_transcript
|
||||
import tracker
|
||||
from tracker import JobStatus
|
||||
|
||||
def save_srt_with_speakers(segments, output_path):
|
||||
"""Helper to save SRT with speaker labels prepended to text."""
|
||||
@@ -44,7 +43,6 @@ def save_srt_with_speakers(segments, output_path):
|
||||
text = segment["text"].strip()
|
||||
speaker = segment.get("speaker", "")
|
||||
|
||||
# Prepend speaker if present and not "Unknown"
|
||||
if speaker and speaker != "Unknown":
|
||||
text = f"[{speaker}]: {text}"
|
||||
|
||||
@@ -54,462 +52,244 @@ def save_srt_with_speakers(segments, output_path):
|
||||
print(f"SRT saved to: {output_path}")
|
||||
|
||||
def process_file(file_path, args, source_lang=None):
|
||||
print(f"\n=== Processing: {file_path} ===")
|
||||
tracker.logger.info(f"=== Processing: {file_path} ===")
|
||||
|
||||
# 1. Extract Audio
|
||||
audio_path = extract_audio(file_path)
|
||||
# Initialize Job
|
||||
job = tracker.get_job(file_path)
|
||||
|
||||
# 2. Transcribe (Generate SRT)
|
||||
transcript_file = os.path.splitext(file_path)[0] + ".srt"
|
||||
transcript_exists = os.path.exists(transcript_file) and not args.force
|
||||
|
||||
# Variable to hold final SRT path for embedding
|
||||
final_srt_path = transcript_file
|
||||
if job.status == JobStatus.COMPLETED and not args.force:
|
||||
tracker.logger.info("Job already completed. Skipping.")
|
||||
return
|
||||
|
||||
if transcript_exists:
|
||||
print(f"Transcript exists: {transcript_file}. Skipping transcription.")
|
||||
with open(transcript_file, "r", encoding="utf-8") as f:
|
||||
srt_content = f.read()
|
||||
else:
|
||||
# Transcribe
|
||||
result = transcribe_audio(audio_path, model_size=args.model, language=source_lang)
|
||||
segments = result["segments"]
|
||||
tracker.update_job_status(file_path, JobStatus.PROCESSING)
|
||||
|
||||
# Optional: Diarization
|
||||
if args.diarize:
|
||||
hf_token = args.hf_token or os.getenv("HF_TOKEN")
|
||||
if hf_token:
|
||||
print("Running Speaker Diarization...")
|
||||
diar_segments = diarize_audio(audio_path, hf_token=hf_token)
|
||||
if diar_segments:
|
||||
segments = merge_diarization_with_transcript(segments, diar_segments)
|
||||
print("Diarization merged into transcript.")
|
||||
else:
|
||||
print("Warning: --diarize requested but HF_TOKEN not provided. Skipping.")
|
||||
try:
|
||||
# 1. Extract Audio
|
||||
tracker.update_step(file_path, "step_extract", "processing")
|
||||
audio_path = extract_audio(file_path)
|
||||
tracker.update_step(file_path, "step_extract", "done")
|
||||
|
||||
# 2. Transcribe (Generate SRT)
|
||||
tracker.update_step(file_path, "step_transcribe", "processing")
|
||||
transcript_file = os.path.splitext(file_path)[0] + ".srt"
|
||||
transcript_exists = os.path.exists(transcript_file) and not args.force
|
||||
|
||||
final_srt_path = transcript_file
|
||||
|
||||
# Save SRT
|
||||
# Use simple save if no speakers, or custom if speakers
|
||||
if args.diarize:
|
||||
save_srt_with_speakers(segments, transcript_file)
|
||||
if transcript_exists:
|
||||
tracker.logger.info(f"Transcript exists: {transcript_file}. Skipping transcription.")
|
||||
with open(transcript_file, "r", encoding="utf-8") as f:
|
||||
srt_content = f.read()
|
||||
else:
|
||||
save_as_srt(result, transcript_file)
|
||||
|
||||
# Validation
|
||||
validate_and_repair_srt(transcript_file)
|
||||
|
||||
with open(transcript_file, "r", encoding="utf-8") as f:
|
||||
srt_content = f.read()
|
||||
result = transcribe_audio(audio_path, model_size=args.model, language=source_lang)
|
||||
segments = result["segments"]
|
||||
|
||||
# 3. Translate (Generate Translated SRT)
|
||||
translated_file = os.path.splitext(file_path)[0] + f".{args.lang}.srt"
|
||||
|
||||
translation_success = False
|
||||
if args.diarize:
|
||||
hf_token = args.hf_token or os.getenv("HF_TOKEN")
|
||||
if hf_token:
|
||||
tracker.logger.info("Running Speaker Diarization...")
|
||||
diar_segments = diarize_audio(audio_path, hf_token=hf_token)
|
||||
if diar_segments:
|
||||
segments = merge_diarization_with_transcript(segments, diar_segments)
|
||||
tracker.logger.info("Diarization merged into transcript.")
|
||||
else:
|
||||
tracker.logger.warning("Warning: --diarize requested but HF_TOKEN not provided. Skipping.")
|
||||
|
||||
if os.path.exists(translated_file) and not args.force:
|
||||
print(f"Translation exists: {translated_file}. Skipping translation.")
|
||||
final_srt_path = translated_file
|
||||
translation_success = True
|
||||
else:
|
||||
# Only translate if there is content
|
||||
if srt_content:
|
||||
translated_srt_content = translate_srt(srt_content, target_language=args.lang)
|
||||
if translated_srt_content:
|
||||
with open(translated_file, "w", encoding="utf-8") as f:
|
||||
f.write(translated_srt_content)
|
||||
print(f"Translation saved to: {translated_file}")
|
||||
validate_and_repair_srt(translated_file)
|
||||
final_srt_path = translated_file
|
||||
translation_success = True
|
||||
if args.diarize:
|
||||
save_srt_with_speakers(segments, transcript_file)
|
||||
else:
|
||||
print("⚠️ TRANSLATION FAILED.")
|
||||
translation_success = False
|
||||
save_as_srt(result, transcript_file)
|
||||
|
||||
validate_and_repair_srt(transcript_file)
|
||||
with open(transcript_file, "r", encoding="utf-8") as f:
|
||||
srt_content = f.read()
|
||||
tracker.update_step(file_path, "step_transcribe", "done")
|
||||
|
||||
# 4. Embed Subtitles
|
||||
# SAFETY: If translation was intended but failed, do NOT embed/delete to prevent
|
||||
# replacing the video with one containing only untranslated subtitles.
|
||||
should_embed = args.embed
|
||||
if args.embed and not translation_success:
|
||||
print("\n❌ SAFETY HALT: Translation failed. Skipping embedding and deletion to preserve original file.")
|
||||
should_embed = False
|
||||
|
||||
if should_embed:
|
||||
embed_subtitles(file_path, final_srt_path)
|
||||
|
||||
import argparse
|
||||
import os
|
||||
import sys
|
||||
from dotenv import load_dotenv
|
||||
# 3. Translate
|
||||
tracker.update_step(file_path, "step_translate", "processing")
|
||||
|
||||
# Load environment variables from central .env_files directory
|
||||
# Path: .../personal_development/video_transcription/ai_transcriber/main.py
|
||||
# Target: .../personal_development/.env_files/.env.aitranscribe
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
env_path = os.path.abspath(os.path.join(script_dir, '../../.env_files/.env.aitranscribe'))
|
||||
base_translated = os.path.splitext(file_path)[0] + f".{args.lang}.srt"
|
||||
deep_translated = os.path.splitext(file_path)[0] + f".{args.lang}.deep_translate.srt"
|
||||
|
||||
if os.path.exists(env_path):
|
||||
load_dotenv(env_path)
|
||||
print(f"Loaded configuration from: {env_path}")
|
||||
translated_file = base_translated # Default
|
||||
translation_success = False
|
||||
method_used = "None"
|
||||
|
||||
if (os.path.exists(base_translated) or os.path.exists(deep_translated)) and not args.force:
|
||||
if os.path.exists(deep_translated):
|
||||
translated_file = deep_translated
|
||||
method_used = "DeepTranslate (Existing)"
|
||||
else:
|
||||
method_used = "Gemini (Existing)"
|
||||
tracker.logger.info(f"Translation exists: {translated_file} ({method_used}). Skipping translation.")
|
||||
final_srt_path = translated_file
|
||||
translation_success = True
|
||||
else:
|
||||
# Fallback: check local .env
|
||||
local_env = os.path.join(script_dir, '.env')
|
||||
if os.path.exists(local_env):
|
||||
load_dotenv(local_env)
|
||||
else:
|
||||
# Last resort: just try loading generic (cwd)
|
||||
load_dotenv()
|
||||
|
||||
from extractor import extract_audio, embed_subtitles
|
||||
|
||||
from transcriber import transcribe_audio, save_as_srt
|
||||
|
||||
from translator import translate_srt, translate_fallback_free
|
||||
|
||||
from utils import validate_and_repair_srt
|
||||
|
||||
from diarizer import diarize_audio, merge_diarization_with_transcript
|
||||
|
||||
import tracker
|
||||
|
||||
from tracker import JobStatus
|
||||
|
||||
|
||||
|
||||
# ... (save_srt_with_speakers remains same)
|
||||
|
||||
|
||||
|
||||
def process_file(file_path, args, source_lang=None):
|
||||
|
||||
tracker.logger.info(f"=== Processing: {file_path} ===")
|
||||
|
||||
|
||||
|
||||
# ... (Job init remains same) ...
|
||||
|
||||
# ... (Step 1 Extract remains same) ...
|
||||
|
||||
# ... (Step 2 Transcribe remains same) ...
|
||||
|
||||
|
||||
|
||||
# 3. Translate (Generate Translated SRT)
|
||||
|
||||
tracker.update_step(file_path, "step_translate", "processing")
|
||||
|
||||
if srt_content:
|
||||
# Helper functions
|
||||
def try_gemini():
|
||||
res = translate_srt(srt_content, target_language=args.lang)
|
||||
if res:
|
||||
with open(base_translated, "w", encoding="utf-8") as f:
|
||||
f.write(res)
|
||||
return True, base_translated, "Gemini"
|
||||
return False, None, None
|
||||
|
||||
def try_deep():
|
||||
lang_map = {
|
||||
"English": "en", "French": "fr", "Spanish": "es", "German": "de",
|
||||
"Italian": "it", "Portuguese": "pt", "Russian": "ru",
|
||||
"Japanese": "ja", "Chinese": "zh-CN"
|
||||
}
|
||||
target_code = lang_map.get(args.lang, "en")
|
||||
res = translate_fallback_free(srt_content, target_language=target_code)
|
||||
if res:
|
||||
with open(deep_translated, "w", encoding="utf-8") as f:
|
||||
f.write(res)
|
||||
return True, deep_translated, "DeepTranslate"
|
||||
return False, None, None
|
||||
|
||||
success = False
|
||||
|
||||
|
||||
# Define paths
|
||||
|
||||
base_translated = os.path.splitext(file_path)[0] + f".{args.lang}.srt"
|
||||
|
||||
deep_translated = os.path.splitext(file_path)[0] + f".{args.lang}.deep_translate.srt"
|
||||
|
||||
|
||||
|
||||
translated_file = base_translated # Default
|
||||
|
||||
|
||||
|
||||
translation_success = False
|
||||
|
||||
method_used = "None"
|
||||
|
||||
|
||||
|
||||
if (os.path.exists(base_translated) or os.path.exists(deep_translated)) and not args.force:
|
||||
|
||||
if os.path.exists(deep_translated):
|
||||
|
||||
translated_file = deep_translated
|
||||
|
||||
method_used = "DeepTranslate (Existing)"
|
||||
|
||||
else:
|
||||
|
||||
method_used = "Gemini (Existing)"
|
||||
|
||||
|
||||
|
||||
tracker.logger.info(f"Translation exists: {translated_file} ({method_used}). Skipping translation.")
|
||||
|
||||
final_srt_path = translated_file
|
||||
|
||||
translation_success = True
|
||||
|
||||
if args.prefer_deep:
|
||||
success, path, method = try_deep()
|
||||
if not success:
|
||||
tracker.logger.info("DeepTranslate failed. Attempting Gemini...")
|
||||
success, path, method = try_gemini()
|
||||
else:
|
||||
|
||||
# Only translate if there is content
|
||||
|
||||
if srt_content:
|
||||
|
||||
# Attempt 1: Gemini
|
||||
|
||||
translated_srt_content = translate_srt(srt_content, target_language=args.lang)
|
||||
|
||||
|
||||
|
||||
if translated_srt_content:
|
||||
|
||||
with open(base_translated, "w", encoding="utf-8") as f:
|
||||
|
||||
f.write(translated_srt_content)
|
||||
|
||||
tracker.logger.info(f"Translation saved to: {base_translated} (Gemini)")
|
||||
|
||||
validate_and_repair_srt(base_translated)
|
||||
|
||||
final_srt_path = base_translated
|
||||
|
||||
translation_success = True
|
||||
|
||||
method_used = "Gemini"
|
||||
|
||||
else:
|
||||
|
||||
# Attempt 2: Fallback
|
||||
|
||||
tracker.logger.warning("Gemini translation failed. Attempting Free Fallback...")
|
||||
|
||||
|
||||
|
||||
lang_map = {
|
||||
|
||||
"English": "en", "French": "fr", "Spanish": "es",
|
||||
|
||||
"German": "de", "Italian": "it", "Portuguese": "pt",
|
||||
|
||||
"Russian": "ru", "Japanese": "ja", "Chinese": "zh-CN"
|
||||
|
||||
}
|
||||
|
||||
target_code = lang_map.get(args.lang, "en")
|
||||
|
||||
|
||||
|
||||
translated_srt_content = translate_fallback_free(srt_content, target_language=target_code)
|
||||
|
||||
|
||||
|
||||
if translated_srt_content:
|
||||
|
||||
translated_file = deep_translated
|
||||
|
||||
with open(translated_file, "w", encoding="utf-8") as f:
|
||||
|
||||
f.write(translated_srt_content)
|
||||
|
||||
tracker.logger.info(f"Translation saved to: {translated_file} (DeepTranslate)")
|
||||
|
||||
validate_and_repair_srt(translated_file)
|
||||
|
||||
final_srt_path = translated_file
|
||||
|
||||
translation_success = True
|
||||
|
||||
method_used = "DeepTranslate"
|
||||
|
||||
else:
|
||||
|
||||
tracker.logger.error("TRANSLATION FAILED (Both Gemini and Fallback).")
|
||||
|
||||
tracker.update_step(file_path, "step_translate", "failed")
|
||||
|
||||
translation_success = False
|
||||
|
||||
|
||||
|
||||
if translation_success:
|
||||
|
||||
tracker.update_step(file_path, "step_translate", "done")
|
||||
|
||||
tracker.logger.info(f"Translation Method: {method_used}")
|
||||
|
||||
|
||||
|
||||
# 4. Embed Subtitles
|
||||
|
||||
|
||||
tracker.update_step(file_path, "step_embed", "processing")
|
||||
should_embed = args.embed
|
||||
if args.embed and not translation_success:
|
||||
tracker.logger.warning("SAFETY HALT: Translation failed. Skipping embedding and deletion to preserve original file.")
|
||||
should_embed = False
|
||||
|
||||
if should_embed:
|
||||
embed_subtitles(file_path, final_srt_path)
|
||||
|
||||
# 5. Delete Source File (Optional & Risky)
|
||||
if args.delete_source:
|
||||
if args.embed:
|
||||
# Safety: Ensure the new subbed video exists before deleting the old one
|
||||
base, ext = os.path.splitext(file_path)
|
||||
expected_output = f"{base}.subbed{ext}"
|
||||
|
||||
if os.path.exists(expected_output):
|
||||
try:
|
||||
os.remove(file_path)
|
||||
tracker.logger.info(f"SOURCE DELETED: Original file '{file_path}' has been removed.")
|
||||
except OSError as e:
|
||||
tracker.logger.error(f"Error: Could not delete source file: {e}")
|
||||
else:
|
||||
tracker.logger.error(f"SAFETY ABORT: Source file NOT deleted. Could not find expected output '{expected_output}'.")
|
||||
else:
|
||||
tracker.logger.warning("SAFETY ABORT: Source file NOT deleted. You must enable --embed to safely replace the video.")
|
||||
tracker.update_step(file_path, "step_embed", "done")
|
||||
|
||||
# 5. Cleanup Audio
|
||||
if args.cleanup:
|
||||
try:
|
||||
os.remove(audio_path)
|
||||
tracker.logger.info(f"Cleanup: Removed temporary audio file {audio_path}")
|
||||
except OSError as e:
|
||||
tracker.logger.warning(f"Warning: Could not remove audio file: {e}")
|
||||
|
||||
# Mark Complete
|
||||
if translation_success:
|
||||
tracker.update_job_status(file_path, JobStatus.COMPLETED)
|
||||
success, path, method = try_gemini()
|
||||
if not success:
|
||||
tracker.logger.warning("Gemini failed. Attempting DeepTranslate...")
|
||||
success, path, method = try_deep()
|
||||
|
||||
if success:
|
||||
tracker.logger.info(f"Translation saved to: {path} ({method})")
|
||||
validate_and_repair_srt(path)
|
||||
final_srt_path = path
|
||||
translation_success = True
|
||||
method_used = method
|
||||
else:
|
||||
# If translation failed but we didn't crash, we technically finished the run but result is partial
|
||||
tracker.update_job_status(file_path, JobStatus.FAILED, error="Translation failed")
|
||||
|
||||
except Exception as e:
|
||||
tracker.logger.exception(f"Job Failed for {file_path}")
|
||||
tracker.update_job_status(file_path, JobStatus.FAILED, error=str(e))
|
||||
# Don't exit, allow other files to process
|
||||
return
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="AI Video Transcriber & Translator")
|
||||
parser.add_argument("input", nargs='?', help="Path to video file or directory")
|
||||
parser.add_argument("--model", default="auto", choices=["auto", "tiny", "base", "small", "medium", "large"], help="Whisper model size (default: auto)")
|
||||
parser.add_argument("--lang", default="English", help="Target language for translation (default: English)")
|
||||
parser.add_argument("--source-lang", help="Source language of the audio (e.g., 'fr', 'es'). If omitted, you will be prompted.")
|
||||
parser.add_argument("--force", action="store_true", help="Overwrite existing transcript/translation files")
|
||||
|
||||
# New Arguments
|
||||
parser.add_argument("--cleanup", action="store_true", help="Delete the temporary .wav file after processing")
|
||||
parser.add_argument("--embed", action="store_true", help="Embed the final subtitles into the video (Soft Subs)")
|
||||
parser.add_argument("--diarize", action="store_true", help="Enable speaker diarization (requires HF_TOKEN)")
|
||||
parser.add_argument("--hf-token", help="HuggingFace Token for pyannote.audio (or set HF_TOKEN env var)")
|
||||
parser.add_argument("--delete-source", action="store_true", help="Delete the original video file AFTER successful embedding")
|
||||
parser.add_argument("--retry-failed", action="store_true", help="Retry only jobs marked as FAILED in the database")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if not os.getenv("GEMINI_API_KEY"):
|
||||
print("Warning: GEMINI_API_KEY environment variable not set. Translation step will fail.")
|
||||
|
||||
# Handling Retry Logic
|
||||
if args.retry_failed:
|
||||
print("Retrying failed jobs from database...")
|
||||
failed_files = tracker.get_failed_jobs()
|
||||
if not failed_files:
|
||||
print("No failed jobs found.")
|
||||
return
|
||||
|
||||
# We need args.source_lang logic here too if needed, but for retries we might assume context
|
||||
# For simplicity, we'll prompt if missing just like normal run
|
||||
|
||||
# Determine source language (Prompt if missing)
|
||||
source_lang = args.source_lang
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter the source language of the video(s) (e.g., 'French', 'es').\nPress Enter to use Whisper's auto-detection: ").strip()
|
||||
if user_input:
|
||||
source_lang = user_input
|
||||
tracker.logger.error("TRANSLATION FAILED.")
|
||||
tracker.update_step(file_path, "step_translate", "failed")
|
||||
translation_success = False
|
||||
|
||||
if translation_success:
|
||||
tracker.update_step(file_path, "step_translate", "done")
|
||||
tracker.logger.info(f"Translation Method: {method_used}")
|
||||
|
||||
# 4. Embed Subtitles
|
||||
tracker.update_step(file_path, "step_embed", "processing")
|
||||
should_embed = args.embed
|
||||
if args.embed and not translation_success:
|
||||
tracker.logger.warning("SAFETY HALT: Translation failed. Skipping embedding/deletion.")
|
||||
should_embed = False
|
||||
|
||||
if should_embed:
|
||||
embed_subtitles(file_path, final_srt_path)
|
||||
|
||||
if args.delete_source:
|
||||
if args.embed:
|
||||
base, ext = os.path.splitext(file_path)
|
||||
expected_output = f"{base}.subbed{ext}"
|
||||
|
||||
if os.path.exists(expected_output):
|
||||
try:
|
||||
os.remove(file_path)
|
||||
tracker.logger.info(f"SOURCE DELETED: {file_path}")
|
||||
except OSError as e:
|
||||
tracker.logger.error(f"Error deleting source: {e}")
|
||||
else:
|
||||
source_lang = None # Let Whisper auto-detect
|
||||
print("Selected: Auto-detect")
|
||||
|
||||
for file_path in failed_files:
|
||||
if os.path.exists(file_path):
|
||||
process_file(file_path, args, source_lang)
|
||||
else:
|
||||
print(f"Skipping missing file: {file_path}")
|
||||
return
|
||||
|
||||
# Normal Logic
|
||||
if not args.input:
|
||||
parser.print_help()
|
||||
sys.exit(1)
|
||||
|
||||
# Determine source language (Prompt if missing)
|
||||
source_lang = args.source_lang
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter the source language of the video(s) (e.g., 'French', 'es').\nPress Enter to use Whisper's auto-detection: ").strip()
|
||||
if user_input:
|
||||
source_lang = user_input
|
||||
tracker.logger.error(f"SAFETY ABORT: Output '{expected_output}' not found.")
|
||||
else:
|
||||
source_lang = None # Let Whisper auto-detect
|
||||
print("Selected: Auto-detect")
|
||||
|
||||
if os.path.isfile(args.input):
|
||||
process_file(args.input, args, source_lang)
|
||||
elif os.path.isdir(args.input):
|
||||
video_extensions = ('.mp4', '.mkv', '.mov', '.avi', '.webm', '.flv', '.wmv', '.m4v')
|
||||
found_files = False
|
||||
for root, dirs, files in os.walk(args.input):
|
||||
for file in files:
|
||||
if file.lower().endswith(video_extensions):
|
||||
found_files = True
|
||||
file_path = os.path.join(root, file)
|
||||
process_file(file_path, args, source_lang)
|
||||
if not found_files:
|
||||
print(f"No video files found in {args.input}")
|
||||
else:
|
||||
print(f"Error: Invalid input path '{args.input}'")
|
||||
sys.exit(1)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
tracker.logger.warning("SAFETY ABORT: Enable --embed to delete source.")
|
||||
tracker.update_step(file_path, "step_embed", "done")
|
||||
|
||||
# 5. Cleanup
|
||||
if args.cleanup:
|
||||
try:
|
||||
os.remove(audio_path)
|
||||
tracker.logger.info(f"Cleanup: Removed {audio_path}")
|
||||
except OSError as e:
|
||||
tracker.logger.warning(f"Warning: Could not remove audio: {e}")
|
||||
|
||||
# Mark Complete
|
||||
if translation_success:
|
||||
tracker.update_job_status(file_path, JobStatus.COMPLETED)
|
||||
else:
|
||||
tracker.update_job_status(file_path, JobStatus.FAILED, error="Translation failed")
|
||||
|
||||
except Exception as e:
|
||||
tracker.logger.exception(f"Job Failed for {file_path}")
|
||||
tracker.update_job_status(file_path, JobStatus.FAILED, error=str(e))
|
||||
return
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="AI Video Transcriber & Translator")
|
||||
parser.add_argument("input", help="Path to video file or directory")
|
||||
parser.add_argument("inputs", nargs='*', help="Path(s) to video file or directory")
|
||||
parser.add_argument("--model", default="auto", choices=["auto", "tiny", "base", "small", "medium", "large"], help="Whisper model size (default: auto)")
|
||||
parser.add_argument("--lang", default="English", help="Target language for translation (default: English)")
|
||||
parser.add_argument("--source-lang", help="Source language of the audio (e.g., 'fr', 'es'). If omitted, you will be prompted.")
|
||||
parser.add_argument("--force", action="store_true", help="Overwrite existing transcript/translation files")
|
||||
|
||||
# New Arguments
|
||||
parser.add_argument("--cleanup", action="store_true", help="Delete the temporary .wav file after processing")
|
||||
parser.add_argument("--embed", action="store_true", help="Embed the final subtitles into the video (Soft Subs)")
|
||||
parser.add_argument("--diarize", action="store_true", help="Enable speaker diarization (requires HF_TOKEN)")
|
||||
parser.add_argument("--hf-token", help="HuggingFace Token for pyannote.audio (or set HF_TOKEN env var)")
|
||||
parser.add_argument("--delete-source", action="store_true", help="Delete the original video file AFTER successful embedding")
|
||||
parser.add_argument("--force", action="store_true", help="Overwrite existing files")
|
||||
parser.add_argument("--cleanup", action="store_true", help="Delete temporary .wav file")
|
||||
parser.add_argument("--embed", action="store_true", help="Embed subtitles (Soft Subs)")
|
||||
parser.add_argument("--diarize", action="store_true", help="Enable speaker diarization")
|
||||
parser.add_argument("--hf-token", help="HuggingFace Token")
|
||||
parser.add_argument("--delete-source", action="store_true", help="Delete original file after embedding")
|
||||
parser.add_argument("--retry-failed", action="store_true", help="Retry FAILED jobs from DB")
|
||||
parser.add_argument("--prefer-deep", action="store_true", help="Prefer DeepTranslate (Free) over Gemini")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if not os.getenv("GEMINI_API_KEY"):
|
||||
print("Warning: GEMINI_API_KEY environment variable not set. Translation step will fail.")
|
||||
|
||||
# Determine source language (Prompt if missing)
|
||||
source_lang = args.source_lang
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter the source language of the video(s) (e.g., 'French', 'es').\nPress Enter to use Whisper's auto-detection: ").strip()
|
||||
if user_input:
|
||||
source_lang = user_input
|
||||
else:
|
||||
source_lang = None # Let Whisper auto-detect
|
||||
print("Selected: Auto-detect")
|
||||
|
||||
if os.path.isfile(args.input):
|
||||
process_file(args.input, args, source_lang)
|
||||
elif os.path.isdir(args.input):
|
||||
video_extensions = ('.mp4', '.mkv', '.mov', '.avi', '.webm', '.flv', '.wmv', '.m4v')
|
||||
found_files = False
|
||||
for root, dirs, files in os.walk(args.input):
|
||||
for file in files:
|
||||
if file.lower().endswith(video_extensions):
|
||||
found_files = True
|
||||
file_path = os.path.join(root, file)
|
||||
process_file(file_path, args, source_lang)
|
||||
if not found_files:
|
||||
print(f"No video files found in {args.input}")
|
||||
else:
|
||||
print(f"Error: Invalid input path '{args.input}'")
|
||||
source_lang = args.source_lang
|
||||
|
||||
if args.retry_failed:
|
||||
print("Retrying failed jobs from database...")
|
||||
failed_files = tracker.get_failed_jobs()
|
||||
if not failed_files:
|
||||
print("No failed jobs found.")
|
||||
return
|
||||
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter source language (e.g. 'French'). Enter for Auto: ").strip()
|
||||
source_lang = user_input if user_input else None
|
||||
|
||||
for file_path in failed_files:
|
||||
if os.path.exists(file_path):
|
||||
process_file(file_path, args, source_lang)
|
||||
else:
|
||||
print(f"Skipping missing file: {file_path}")
|
||||
return
|
||||
|
||||
if not args.inputs:
|
||||
parser.print_help()
|
||||
sys.exit(1)
|
||||
|
||||
if not source_lang:
|
||||
print("\n--- Audio Configuration ---")
|
||||
user_input = input("Enter source language (e.g. 'French'). Enter for Auto: ").strip()
|
||||
source_lang = user_input if user_input else None
|
||||
print(f"Selected: {source_lang if source_lang else 'Auto-detect'}")
|
||||
|
||||
video_extensions = ('.mp4', '.mkv', '.mov', '.avi', '.webm', '.flv', '.wmv', '.m4v')
|
||||
|
||||
for input_path in args.inputs:
|
||||
if os.path.isfile(input_path):
|
||||
process_file(input_path, args, source_lang)
|
||||
elif os.path.isdir(input_path):
|
||||
found = False
|
||||
for root, dirs, files in os.walk(input_path):
|
||||
for file in files:
|
||||
if file.lower().endswith(video_extensions):
|
||||
found = True
|
||||
process_file(os.path.join(root, file), args, source_lang)
|
||||
if not found:
|
||||
print(f"No video files found in {input_path}")
|
||||
else:
|
||||
print(f"Error: Invalid input path '{input_path}'")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
main()
|
||||
Executable
+63
@@ -0,0 +1,63 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Configuration
|
||||
MOUNT_POINT="/mnt/truenas_isolation"
|
||||
SHARE="//truenas.local/isolation"
|
||||
|
||||
echo "--- SMB Mount Tool ---"
|
||||
|
||||
# Determine privilege escalation method
|
||||
PRIV_CMD=""
|
||||
if [ "$EUID" -eq 0 ]; then
|
||||
echo "Running as root."
|
||||
else
|
||||
if command -v sudo &> /dev/null; then
|
||||
PRIV_CMD="sudo"
|
||||
elif command -v flatpak-spawn &> /dev/null; then
|
||||
echo "Detected Flatpak environment. Attempting to use host permissions via sudo..."
|
||||
# We need to run sudo ON THE HOST.
|
||||
# flatpak-spawn --host runs as the current user on the host.
|
||||
# So we run 'sudo' inside that host shell.
|
||||
PRIV_CMD="flatpak-spawn --host sudo"
|
||||
# Note: This requires the flatpak to have permission to talk to the host
|
||||
else
|
||||
echo "❌ Error: This script requires root privileges to mount drives."
|
||||
echo " 'sudo' was not found."
|
||||
echo " Please run this script as root: su -c ./mount_truenas.sh"
|
||||
exit 1
|
||||
fi
|
||||
fi
|
||||
|
||||
# 1. Create mount point if it doesn't exist
|
||||
if [ ! -d "$MOUNT_POINT" ]; then
|
||||
echo "Creating directory $MOUNT_POINT..."
|
||||
# We try to create it. If it fails (e.g. inside read-only flatpak mount namespace), warn user.
|
||||
$PRIV_CMD mkdir -p "$MOUNT_POINT"
|
||||
if [ $? -ne 0 ]; then
|
||||
echo "Error creating directory. If you are in a Flatpak, you might not have access to host /mnt."
|
||||
exit 1
|
||||
fi
|
||||
fi
|
||||
|
||||
# 2. Get Credentials
|
||||
read -p "Enter SMB Username [guest]: " SMB_USER
|
||||
SMB_USER=${SMB_USER:-guest}
|
||||
|
||||
# 3. Mount
|
||||
echo "Mounting $SHARE to $MOUNT_POINT..."
|
||||
|
||||
if [ "$SMB_USER" == "guest" ]; then
|
||||
$PRIV_CMD mount -t cifs "$SHARE" "$MOUNT_POINT" -o guest,vers=3.0
|
||||
else
|
||||
# This will prompt for the SMB password
|
||||
$PRIV_CMD mount -t cifs "$SHARE" "$MOUNT_POINT" -o username="$SMB_USER",vers=3.0
|
||||
fi
|
||||
|
||||
# 4. Check result
|
||||
if [ $? -eq 0 ]; then
|
||||
echo "✅ Success! Share is now available at $MOUNT_POINT"
|
||||
echo "The mapping will disappear automatically after you reboot."
|
||||
else
|
||||
echo "❌ Error: Failed to mount the share."
|
||||
echo "Ensure 'cifs-utils' is installed and the server is reachable."
|
||||
fi
|
||||
@@ -228,11 +228,27 @@ def process_recovery(folder_path, target_lang="English", prefer_deep=False):
|
||||
print(f"\nRecovery Complete. Fixed {count_fixed} files.")
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
parser = argparse.ArgumentParser(description="Recover and Fix Translations (V2)")
|
||||
parser.add_argument("folder", help="Path to the folder to scan")
|
||||
parser.add_argument("lang", nargs="?", default="English", help="Target language (default: English)")
|
||||
|
||||
parser.add_argument("folders", nargs='+', help="One or more paths to folders to scan")
|
||||
|
||||
parser.add_argument("--lang", default="English", help="Target language (default: English)")
|
||||
|
||||
parser.add_argument("--prefer-deep", action="store_true", help="Prefer DeepTranslate (Free) over Gemini API")
|
||||
|
||||
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
|
||||
process_recovery(args.folder, args.lang, args.prefer_deep)
|
||||
|
||||
for folder in args.folders:
|
||||
|
||||
if os.path.exists(folder):
|
||||
|
||||
process_recovery(folder, args.lang, args.prefer_deep)
|
||||
|
||||
else:
|
||||
|
||||
print(f"Error: Folder '{folder}' does not exist. Skipping.")
|
||||
@@ -42,22 +42,39 @@ def main():
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
# 1. Input File/Folder
|
||||
# 1. Input File/Folder (Multiple)
|
||||
input_paths = []
|
||||
while True:
|
||||
input_path = get_input("Enter the path to the video file or folder")
|
||||
prompt_text = "Enter a path to a video file or folder"
|
||||
if input_paths:
|
||||
prompt_text += " (or press Enter to finish)"
|
||||
|
||||
input_path = get_input(prompt_text)
|
||||
|
||||
if not input_path:
|
||||
if input_paths:
|
||||
break
|
||||
else:
|
||||
print("Error: You must provide at least one path.")
|
||||
continue
|
||||
|
||||
# Clean up input
|
||||
input_path = input_path.strip("'\"")
|
||||
input_path = input_path.strip("\'"")
|
||||
input_path = input_path.replace(r'\ ', ' ')
|
||||
|
||||
# Expand user (~) and resolve absolute path
|
||||
input_path = os.path.abspath(os.path.expanduser(input_path))
|
||||
|
||||
if os.path.exists(input_path):
|
||||
break
|
||||
print(f"Error: Path '{input_path}' does not exist. Please try again.\n")
|
||||
input_paths.append(input_path)
|
||||
print(f"Added: {input_path}")
|
||||
else:
|
||||
print(f"Error: Path '{input_path}' does not exist. Please try again.\n")
|
||||
|
||||
print(f"Selected: {input_path}\n")
|
||||
print("\nSelected Inputs:")
|
||||
for p in input_paths:
|
||||
print(f" - {p}")
|
||||
print("")
|
||||
|
||||
# 2. Languages
|
||||
source_lang = get_input("Source Language (e.g., French, es)", default="auto")
|
||||
@@ -80,6 +97,8 @@ def main():
|
||||
print(" It will only run if the new subtitled video is successfully created.")
|
||||
do_delete_source = get_yes_no("Delete original source files after embedding?", default="n")
|
||||
|
||||
do_prefer_deep = get_yes_no("Prefer DeepTranslate (Free) over Gemini API?", default="n")
|
||||
|
||||
hf_token = None
|
||||
if do_diarize:
|
||||
if not os.getenv("HF_TOKEN"):
|
||||
@@ -93,7 +112,8 @@ def main():
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
main_script = os.path.join(script_dir, "ai_transcriber_v2", "main.py")
|
||||
|
||||
cmd = [sys.executable, main_script, input_path]
|
||||
cmd = [sys.executable, main_script]
|
||||
cmd.extend(input_paths)
|
||||
|
||||
cmd.extend(["--lang", target_lang])
|
||||
cmd.extend(["--model", model_size])
|
||||
@@ -115,12 +135,17 @@ def main():
|
||||
if hf_token:
|
||||
cmd.extend(["--hf-token", hf_token])
|
||||
|
||||
if do_prefer_deep:
|
||||
cmd.append("--prefer-deep")
|
||||
|
||||
# 6. Confirmation and Execution
|
||||
clear_screen()
|
||||
print_header()
|
||||
print("Configuration Complete!")
|
||||
print("-" * 30)
|
||||
print(f"Input: {input_path}")
|
||||
print("Inputs:")
|
||||
for p in input_paths:
|
||||
print(f" - {p}")
|
||||
print(f"Source Lang: {source_lang}")
|
||||
print(f"Target Lang: {target_lang}")
|
||||
print(f"Model: {model_size}")
|
||||
@@ -128,6 +153,7 @@ def main():
|
||||
print(f"Embed Subs: {do_embed}")
|
||||
print(f"Delete Src: {do_delete_source}")
|
||||
print(f"Diarization: {do_diarize}")
|
||||
print(f"Prefer Deep: {do_prefer_deep}")
|
||||
print("-" * 30)
|
||||
|
||||
if not get_yes_no("Run this job now?", default="y"):
|
||||
@@ -150,4 +176,4 @@ def main():
|
||||
print("\nJob interrupted by user.")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
main()
|
||||
@@ -3,19 +3,6 @@ import os
|
||||
import sys
|
||||
import subprocess
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
|
||||
# Try to load the .env file so the wizard knows what's already configured
|
||||
try:
|
||||
from dotenv import load_dotenv
|
||||
# Path logic matching main.py
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
# Expected: .../video_transcription/../.env_files -> .../personal_development/.env_files
|
||||
env_path = os.path.abspath(os.path.join(script_dir, '../.env_files/.env.aitranscribe'))
|
||||
if os.path.exists(env_path):
|
||||
load_dotenv(env_path)
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
def clear_screen():
|
||||
os.system('cls' if os.name == 'nt' else 'clear')
|
||||
@@ -43,25 +30,50 @@ def print_header():
|
||||
def main():
|
||||
clear_screen()
|
||||
print_header()
|
||||
|
||||
# Try to load the .env file so the wizard knows what's already configured
|
||||
try:
|
||||
from dotenv import load_dotenv
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
env_path = os.path.abspath(os.path.join(script_dir, '../.env_files/.env.aitranscribe'))
|
||||
if os.path.exists(env_path):
|
||||
load_dotenv(env_path)
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
# 1. Input File/Folder
|
||||
# 1. Input File/Folder (Multiple)
|
||||
input_paths = []
|
||||
while True:
|
||||
input_path = get_input("Enter the path to the video file or folder")
|
||||
prompt_text = "Enter a path to a video file or folder"
|
||||
if input_paths:
|
||||
prompt_text += " (or press Enter to finish)"
|
||||
|
||||
# Clean up input:
|
||||
# 1. Remove surrounding quotes (common when pasting paths)
|
||||
input_path = get_input(prompt_text)
|
||||
|
||||
if not input_path:
|
||||
if input_paths:
|
||||
break
|
||||
else:
|
||||
print("Error: You must provide at least one path.")
|
||||
continue
|
||||
|
||||
# Clean up input
|
||||
input_path = input_path.strip('"\'')
|
||||
# 2. Handle escaped spaces (e.g., "My\ Folder" -> "My Folder")
|
||||
input_path = input_path.replace(r'\ ', ' ')
|
||||
|
||||
# Expand user (~) and resolve absolute path
|
||||
input_path = os.path.abspath(os.path.expanduser(input_path))
|
||||
|
||||
if os.path.exists(input_path):
|
||||
break
|
||||
print(f"Error: Path '{input_path}' does not exist. Please try again.\n")
|
||||
input_paths.append(input_path)
|
||||
print(f"Added: {input_path}")
|
||||
else:
|
||||
print(f"Error: Path '{input_path}' does not exist. Please try again.\n")
|
||||
|
||||
print(f"Selected: {input_path}\n")
|
||||
print("\nSelected Inputs:")
|
||||
for p in input_paths:
|
||||
print(f" - {p}")
|
||||
print("")
|
||||
|
||||
# 2. Languages
|
||||
source_lang = get_input("Source Language (e.g., French, es)", default="auto")
|
||||
@@ -84,12 +96,13 @@ def main():
|
||||
print(" It will only run if the new subtitled video is successfully created.")
|
||||
do_delete_source = get_yes_no("Delete original source files after embedding?", default="n")
|
||||
|
||||
do_prefer_deep = get_yes_no("Prefer DeepTranslate (Free) over Gemini API?", default="n")
|
||||
|
||||
hf_token = None
|
||||
if do_diarize:
|
||||
if not os.getenv("HF_TOKEN"):
|
||||
print("\nSpeaker Diarization requires a HuggingFace Token.")
|
||||
hf_token = get_input("Enter your HuggingFace Token (hidden)", default="")
|
||||
# In a real app we might use getpass, but standard input is fine for this wizard level
|
||||
else:
|
||||
print("Using HF_TOKEN from environment.")
|
||||
|
||||
@@ -98,7 +111,9 @@ def main():
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
main_script = os.path.join(script_dir, "ai_transcriber", "main.py")
|
||||
|
||||
cmd = [sys.executable, main_script, input_path]
|
||||
cmd = [sys.executable, main_script]
|
||||
# Add all inputs
|
||||
cmd.extend(input_paths)
|
||||
|
||||
cmd.extend(["--lang", target_lang])
|
||||
cmd.extend(["--model", model_size])
|
||||
@@ -120,12 +135,17 @@ def main():
|
||||
if hf_token:
|
||||
cmd.extend(["--hf-token", hf_token])
|
||||
|
||||
if do_prefer_deep:
|
||||
cmd.append("--prefer-deep")
|
||||
|
||||
# 6. Confirmation and Execution
|
||||
clear_screen()
|
||||
print_header()
|
||||
print("Configuration Complete!")
|
||||
print("-" * 30)
|
||||
print(f"Input: {input_path}")
|
||||
print("Inputs:")
|
||||
for p in input_paths:
|
||||
print(f" - {p}")
|
||||
print(f"Source Lang: {source_lang}")
|
||||
print(f"Target Lang: {target_lang}")
|
||||
print(f"Model: {model_size}")
|
||||
@@ -133,6 +153,7 @@ def main():
|
||||
print(f"Embed Subs: {do_embed}")
|
||||
print(f"Delete Src: {do_delete_source}")
|
||||
print(f"Diarization: {do_diarize}")
|
||||
print(f"Prefer Deep: {do_prefer_deep}")
|
||||
print("-" * 30)
|
||||
|
||||
if not get_yes_no("Run this job now?", default="y"):
|
||||
@@ -155,4 +176,4 @@ def main():
|
||||
print("\nJob interrupted by user.")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
main()
|
||||
Executable
+179
@@ -0,0 +1,179 @@
|
||||
#!/usr/bin/env python3
|
||||
import os
|
||||
import sys
|
||||
import subprocess
|
||||
import shutil
|
||||
|
||||
def clear_screen():
|
||||
os.system('cls' if os.name == 'nt' else 'clear')
|
||||
|
||||
def get_input(prompt, default=None):
|
||||
"""Helper to get input with a default value."""
|
||||
if default:
|
||||
user_input = input(f"{prompt} [{default}]: ").strip()
|
||||
return user_input if user_input else default
|
||||
else:
|
||||
return input(f"{prompt}: ").strip()
|
||||
|
||||
def get_yes_no(prompt, default="y"):
|
||||
"""Helper to get boolean input."""
|
||||
display_default = "Y/n" if default.lower() in ["y", "yes"] else "y/N"
|
||||
choice = get_input(f"{prompt} ({display_default})", default).lower()
|
||||
return choice in ["y", "yes", "true", "1"]
|
||||
|
||||
def print_header():
|
||||
print("==========================================")
|
||||
print(" AI Video Transcriber & Translator V2")
|
||||
print(" (Powered by Google GenAI SDK)")
|
||||
print("==========================================")
|
||||
print("")
|
||||
|
||||
def main():
|
||||
clear_screen()
|
||||
print_header()
|
||||
|
||||
# Try to load the .env file so the wizard knows what's already configured
|
||||
try:
|
||||
from dotenv import load_dotenv
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
env_path = os.path.abspath(os.path.join(script_dir, '../.env_files/.env.aitranscribe'))
|
||||
if os.path.exists(env_path):
|
||||
load_dotenv(env_path)
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
# 1. Input File/Folder (Multiple)
|
||||
input_paths = []
|
||||
while True:
|
||||
prompt_text = "Enter a path to a video file or folder"
|
||||
if input_paths:
|
||||
prompt_text += " (or press Enter to finish)"
|
||||
|
||||
input_path = get_input(prompt_text)
|
||||
|
||||
if not input_path:
|
||||
if input_paths:
|
||||
break
|
||||
else:
|
||||
print("Error: You must provide at least one path.")
|
||||
continue
|
||||
|
||||
# Clean up input
|
||||
input_path = input_path.strip("\'"")
|
||||
input_path = input_path.replace(r'\ ', ' ')
|
||||
|
||||
# Expand user (~) and resolve absolute path
|
||||
input_path = os.path.abspath(os.path.expanduser(input_path))
|
||||
|
||||
if os.path.exists(input_path):
|
||||
input_paths.append(input_path)
|
||||
print(f"Added: {input_path}")
|
||||
else:
|
||||
print(f"Error: Path '{input_path}' does not exist. Please try again.\n")
|
||||
|
||||
print("\nSelected Inputs:")
|
||||
for p in input_paths:
|
||||
print(f" - {p}")
|
||||
print("")
|
||||
|
||||
# 2. Languages
|
||||
source_lang = get_input("Source Language (e.g., French, es)", default="auto")
|
||||
target_lang = get_input("Target Language for translation", default="English")
|
||||
print("")
|
||||
|
||||
# 3. Model Size
|
||||
print("Model Size Options: tiny, base, small, medium, large, auto")
|
||||
model_size = get_input("Whisper Model Size", default="auto")
|
||||
print("")
|
||||
|
||||
# 4. Features
|
||||
do_cleanup = get_yes_no("Cleanup temporary audio files after processing?", default="y")
|
||||
do_embed = get_yes_no("Embed subtitles into the video file (Soft Subs)?", default="y")
|
||||
do_diarize = get_yes_no("Enable Speaker Diarization (Identify speakers)?", default="n")
|
||||
|
||||
do_delete_source = False
|
||||
if do_embed:
|
||||
print("\n⚠️ WARNING: Using this next option will PERMANENTLY DELETE the original video files.")
|
||||
print(" It will only run if the new subtitled video is successfully created.")
|
||||
do_delete_source = get_yes_no("Delete original source files after embedding?", default="n")
|
||||
|
||||
do_prefer_deep = get_yes_no("Prefer DeepTranslate (Free) over Gemini API?", default="n")
|
||||
|
||||
hf_token = None
|
||||
if do_diarize:
|
||||
if not os.getenv("HF_TOKEN"):
|
||||
print("\nSpeaker Diarization requires a HuggingFace Token.")
|
||||
hf_token = get_input("Enter your HuggingFace Token (hidden)", default="")
|
||||
else:
|
||||
print("Using HF_TOKEN from environment.")
|
||||
|
||||
# 5. Build Command
|
||||
# Point to v2 main script
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
main_script = os.path.join(script_dir, "ai_transcriber_v2", "main.py")
|
||||
|
||||
cmd = [sys.executable, main_script]
|
||||
cmd.extend(input_paths)
|
||||
|
||||
cmd.extend(["--lang", target_lang])
|
||||
cmd.extend(["--model", model_size])
|
||||
|
||||
if source_lang != "auto":
|
||||
cmd.extend(["--source-lang", source_lang])
|
||||
|
||||
if do_cleanup:
|
||||
cmd.append("--cleanup")
|
||||
|
||||
if do_embed:
|
||||
cmd.append("--embed")
|
||||
|
||||
if do_delete_source:
|
||||
cmd.append("--delete-source")
|
||||
|
||||
if do_diarize:
|
||||
cmd.append("--diarize")
|
||||
if hf_token:
|
||||
cmd.extend(["--hf-token", hf_token])
|
||||
|
||||
if do_prefer_deep:
|
||||
cmd.append("--prefer-deep")
|
||||
|
||||
# 6. Confirmation and Execution
|
||||
clear_screen()
|
||||
print_header()
|
||||
print("Configuration Complete!")
|
||||
print("-" * 30)
|
||||
print("Inputs:")
|
||||
for p in input_paths:
|
||||
print(f" - {p}")
|
||||
print(f"Source Lang: {source_lang}")
|
||||
print(f"Target Lang: {target_lang}")
|
||||
print(f"Model: {model_size}")
|
||||
print(f"Cleanup: {do_cleanup}")
|
||||
print(f"Embed Subs: {do_embed}")
|
||||
print(f"Delete Src: {do_delete_source}")
|
||||
print(f"Diarization: {do_diarize}")
|
||||
print(f"Prefer Deep: {do_prefer_deep}")
|
||||
print("-" * 30)
|
||||
|
||||
if not get_yes_no("Run this job now?", default="y"):
|
||||
print("Aborted.")
|
||||
sys.exit(0)
|
||||
|
||||
print("\nStarting Job (V2)...")
|
||||
|
||||
try:
|
||||
# Pass environment variables including HF_TOKEN if set
|
||||
env = os.environ.copy()
|
||||
if hf_token:
|
||||
env["HF_TOKEN"] = hf_token
|
||||
|
||||
subprocess.run(cmd, check=True, env=env)
|
||||
print("\n✅ Job Complete!")
|
||||
except subprocess.CalledProcessError as e:
|
||||
print(f"\n❌ Job Failed with error code {e.returncode}")
|
||||
except KeyboardInterrupt:
|
||||
print("\nJob interrupted by user.")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user