Files
whisper-translation/engine_distribute.py
T

79 lines
2.8 KiB
Python

import requests
import time
import argparse
import multiprocessing
import sys
import os
INGEST_URL = "https://emiapi.reynafamily.com/live-captions/ingest"
def log_debug(message):
try:
with open("distribute_debug.log", "a") as f:
f.write(f"{time.strftime('%H:%M:%S')} {message}\n")
f.flush()
os.fsync(f.fileno())
except:
pass
def run_distribution(in_queue, args):
print("[Distribute] Starting distribution service...", flush=True)
log_debug("Starting distribution service...")
while True:
try:
payload = in_queue.get()
if payload is None: break
# Draft support
if "draft" in payload:
draft_text = payload["draft"]
sys.stdout.write(f"\r\033[K[DRAFT]: {draft_text}")
sys.stdout.flush()
if args.ingest:
try: requests.post(INGEST_URL, json={"draft": draft_text}, timeout=2)
except: pass
continue
# Finalized segment
speaker_label = payload.get('speaker')
speaker_prefix = f"[{speaker_label}]: " if speaker_label else ""
msg = f"\n[Final]: {speaker_prefix}{payload.get('original', '')}"
print(msg, flush=True)
log_debug(msg)
# Show LLM Refinement if available
refined = payload.get('paragraph') or payload.get('corrected')
if refined and refined.strip() != payload.get('original', '').strip():
llm_msg = f"[LLM]: {speaker_prefix}{refined}"
print(llm_msg, flush=True)
log_debug(llm_msg)
for lang in ["es", "fr", "ar", "en"]:
if payload.get(lang):
lang_msg = f"[{lang.upper()}]: {speaker_prefix}{payload[lang]}"
print(lang_msg, flush=True)
log_debug(lang_msg)
if args.ingest:
delay, max_delay, success = 1, 15, False
while not success:
try:
response = requests.post(INGEST_URL, json=payload, timeout=5)
if response.status_code == 200: success = True
else: print(f"[Distribute Error] {response.status_code}. Retrying...")
except Exception as e:
print(f"[Distribute Error] {e}. Retrying...")
if not success:
time.sleep(delay)
delay = min(delay * 2, max_delay)
except Exception as e:
print(f"[Distribute] Error: {e}")
if __name__ == "__main__":
import multiprocessing
run_distribution(multiprocessing.Queue(), argparse.Namespace())