import multiprocessing import argparse import json import os import sys from dotenv import load_dotenv # Load environment variables from .env if present load_dotenv() # Light imports (heavy ones moved inside run functions) from engine_transcribe import run_transcription, list_audio_devices from engine_llm import run_llm_processor, run_llm_prompt_test from engine_translate import run_translation from engine_distribute import run_distribution def parse_temperature_fallback(value): try: return tuple(float(x.strip()) for x in value.split(",") if x.strip()) except: return (0.0, 0.2, 0.4, 0.6, 0.8, 1.0) def main(): config_path = "config.json" defaults = {} if os.path.exists(config_path): with open(config_path, "r") as f: defaults = json.load(f) parser = argparse.ArgumentParser(description="Multi-process Transcription and Translation.") # Transcribe Args parser.add_argument("-l", "--list-devices", action="store_true", help="Show available audio devices and exit") parser.add_argument("--model", type=str, default=defaults.get("model", "mlx-community/whisper-base-mlx")) parser.add_argument("--device", type=int, default=defaults.get("device")) parser.add_argument("--lang", type=str, default=defaults.get("lang")) parser.add_argument("--silence", type=int, default=defaults.get("silence", 1000)) parser.add_argument("--max-buffer", type=int, default=defaults.get("max_buffer", 20)) parser.add_argument("--channels", type=int, default=defaults.get("channels", 1)) parser.add_argument("--filter-lang", action="store_true", default=defaults.get("filter_lang", False)) parser.add_argument("-q", "--quantize", action="store_true", default=defaults.get("quantize", False)) parser.add_argument("-s", "--stream", action="store_true", default=defaults.get("stream", False)) parser.add_argument("-c", "--context", action="store_true", default=defaults.get("context", False)) parser.add_argument("--speaker-diarization", action="store_true", default=defaults.get("speaker_diarization", False)) parser.add_argument("--temperature-fallback", type=parse_temperature_fallback, default=tuple(defaults.get("temperature_fallback", [0.0, 0.2, 0.4, 0.6, 0.8, 1.0]))) parser.add_argument("--logprob-threshold", type=float, default=defaults.get("logprob_threshold", -0.8)) parser.add_argument("--compression-threshold", type=float, default=defaults.get("compression_threshold", 2.2)) # LLM Args parser.add_argument("--post-correct", action="store_true", default=defaults.get("post_correct", False)) parser.add_argument("--post-correct-llm", action="store_true", default=defaults.get("post_correct_llm", False)) parser.add_argument("--post-correct-model", type=str, default=defaults.get("post_correct_model", "qwen3.5:0.8b")) parser.add_argument("--post-correct-ollama-url", type=str, default=defaults.get("post_correct_ollama_url", "http://127.0.0.1:11434/api/generate")) parser.add_argument("--post-correct-llm-timeout", type=float, default=defaults.get("post_correct_llm_timeout", 8.0)) parser.add_argument("--post-correct-keep-alive", type=str, default=defaults.get("post_correct_keep_alive", "30m")) parser.add_argument("--post-correct-warmup-timeout", type=float, default=defaults.get("post_correct_warmup_timeout", 20.0)) parser.add_argument("--post-correct-min-overlap", type=float, default=defaults.get("post_correct_min_overlap", 0.45)) parser.add_argument("--post-correct-debug", action="store_true", default=defaults.get("post_correct_debug", False)) parser.add_argument("--freeflow-polish", action="store_true", default=defaults.get("freeflow_polish", True), help="Use Freeflow-style deterministic punctuation/filler polishing before optional LLM cleanup.") parser.add_argument("--no-freeflow-polish", action="store_false", dest="freeflow_polish", help="Use the older local regex cleanup instead of Freeflow-style deterministic polishing.") parser.add_argument("--post-correct-skip-clean", action="store_true", default=defaults.get("post_correct_skip_clean", True), help="Skip the line LLM when deterministic polish already looks clean.") parser.add_argument("--no-post-correct-skip-clean", action="store_false", dest="post_correct_skip_clean", help="Always call the line LLM when --post-correct-llm is enabled.") parser.add_argument("--post-correct-prompt-style", choices=["freeflow", "qwen", "legacy"], default=defaults.get("post_correct_prompt_style", "freeflow"), help="Prompt style for line LLM cleanup.") parser.add_argument("--llm-paragraph", action="store_true", default=defaults.get("llm_paragraph", False)) parser.add_argument("--llm-paragraph-temperature", type=float, default=defaults.get("llm_paragraph_temperature", 0.2)) parser.add_argument("--llm-paragraph-top-p", type=float, default=defaults.get("llm_paragraph_top_p", 0.8)) parser.add_argument("--llm-paragraph-repeat-penalty", type=float, default=defaults.get("llm_paragraph_repeat_penalty", 1.0)) parser.add_argument("--llm-request-log-path", type=str, default=defaults.get("llm_request_log_path", "logs/llm_requests.jsonl")) parser.add_argument("--llm-test-line", type=str, default=None, help="Send a single line-correction prompt without starting transcription.") parser.add_argument("--llm-test-prev1", type=str, default="", help="Optional previous line 1 context for --llm-test-line.") parser.add_argument("--llm-test-prev2", type=str, default="", help="Optional previous line 2 context for --llm-test-line.") parser.add_argument("--llm-test-segments", type=str, default=None, help="Send a single paragraph-refinement prompt without starting transcription.") parser.add_argument("--llm-test-context", type=str, default="", help="Optional existing paragraph context for --llm-test-segments.") parser.add_argument("--llm-test-from-log", type=int, default=None, help="Replay a logged LLM request by JSONL entry index. Use -1 for the most recent entry.") parser.add_argument("--llm-test-use-logged-model", action="store_true", default=False, help="When replaying from log, use the model stored in the log entry instead of --post-correct-model.") # Translate Args parser.add_argument("-es", action="store_true", default=defaults.get("es", False)) parser.add_argument("-fr", action="store_true", default=defaults.get("fr", False)) parser.add_argument("-ar", action="store_true", default=defaults.get("ar", False)) parser.add_argument("-en", action="store_true", default=defaults.get("en", False)) parser.add_argument("--only-translate-llm", action="store_true", default=defaults.get("only_translate_llm", False), help="Only translate when the LLM produces a refined paragraph.") parser.add_argument("--mt-max-chars", type=int, default=defaults.get("mt_max_chars", 250)) parser.add_argument("--mt-max-new-tokens", type=int, default=defaults.get("mt_max_new_tokens", 150)) parser.add_argument("--mt-num-beams", type=int, default=defaults.get("mt_num_beams", 4)) # Distribute Args parser.add_argument("-i", "--ingest", action="store_true", default=defaults.get("ingest", False)) args = parser.parse_args() # Auto-enable required flags if args.post_correct_llm and not args.post_correct: args.post_correct = True if args.only_translate_llm and not args.llm_paragraph: print("[Main] Enabling --llm-paragraph because --only-translate-llm was requested.") args.llm_paragraph = True if args.llm_test_line or args.llm_test_segments or args.llm_test_from_log is not None: run_llm_prompt_test(args) return # Handle device listing if args.list_devices: list_audio_devices() return # Handle interactive device selection if args.device is None: list_audio_devices() try: val = input("\nSelect input device index (or press Enter for default): ").strip() if val: args.device = int(val) except EOFError: pass # Non-interactive environment except ValueError: print("[Main] Invalid index, using default.") # Queues q_trans_to_llm = multiprocessing.Queue() q_llm_to_tl = multiprocessing.Queue() q_tl_to_dist = multiprocessing.Queue() # Processes p_transcribe = multiprocessing.Process(target=run_transcription, args=(q_trans_to_llm, args)) p_llm = multiprocessing.Process(target=run_llm_processor, args=(q_trans_to_llm, q_llm_to_tl, args)) p_translate = multiprocessing.Process(target=run_translation, args=(q_llm_to_tl, q_tl_to_dist, args)) p_distribute = multiprocessing.Process(target=run_distribution, args=(q_tl_to_dist, args)) print("[Main] Starting processes...") p_transcribe.start() p_llm.start() p_translate.start() p_distribute.start() try: p_transcribe.join() p_llm.join() p_translate.join() p_distribute.join() except KeyboardInterrupt: print("\n[Main] Stopping processes...") p_transcribe.terminate() p_llm.terminate() p_translate.terminate() p_distribute.terminate() sys.exit(0) if __name__ == "__main__": multiprocessing.freeze_support() main()