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authorPinapelz <yukais@pinapelz.com>2026-04-18 17:36:52 -0700
committerPinapelz <yukais@pinapelz.com>2026-04-18 17:36:52 -0700
commit85a1c3df4b0f04f94c2d0179c21eeda36f9a9e3c (patch)
tree6c093e9cca4bbb1a9e5bdfe83056e29e12f8dbdf
parente6700aa1cd867fc574eb8e6df75b26eae269b759 (diff)
init commit
-rw-r--r--.gitignore11
-rw-r--r--.python-version1
-rw-r--r--README.md6
-rw-r--r--gui.py188
-rw-r--r--pyproject.toml12
-rw-r--r--server.py295
-rw-r--r--uv.lock740
-rw-r--r--youtube-subtitle.user.js234
8 files changed, 1487 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..783cdb1
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,11 @@
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv
+settings.json
diff --git a/.python-version b/.python-version
new file mode 100644
index 0000000..24ee5b1
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.13
diff --git a/README.md b/README.md
index e69de29..81e729f 100644
--- a/README.md
+++ b/README.md
@@ -0,0 +1,6 @@
+# auto-live-tl
+A basic LOCAL translation backend that listens to an audio sink via PCM and runs translation via faster-whisper
+
+Translations a
+
+`server.py` serves a backend for translating incoming audio data. It expects some other client to hit the `/events` endpoint to fetch the translated data.
diff --git a/gui.py b/gui.py
new file mode 100644
index 0000000..aece888
--- /dev/null
+++ b/gui.py
@@ -0,0 +1,188 @@
+import tkinter as tk
+from tkinter import messagebox, ttk, simpledialog
+from typing import Iterable, List, Tuple, Dict, Any
+import sounddevice as sd
+
+
+def select_settings(
+ settings: Dict[str, Any],
+ input_devices: List[Tuple[int, Dict[str, Any]]],
+ default_settings: Dict[str, Any],
+ model_choices: Iterable[str],
+ device_choices: Iterable[str],
+ compute_choices: Iterable[str],
+ task_choices: Iterable[str],
+) -> Dict[str, Any]:
+ if not input_devices:
+ raise RuntimeError("No audio input devices found.")
+
+ def get_value(key: str, fallback: Any) -> Any:
+ return settings.get(key, default_settings.get(key, fallback))
+
+ root = tk.Tk()
+ root.title("Audio & Whisper Settings")
+ root.resizable(False, False)
+
+ frame = ttk.Frame(root, padding=10)
+ frame.pack(fill="both", expand=True)
+ frame.columnconfigure(1, weight=1)
+
+ def add_row(row: int, label_text: str, widget: tk.Widget) -> None:
+ label = ttk.Label(frame, text=label_text)
+ label.grid(row=row, column=0, sticky="w", pady=4)
+ widget.grid(row=row, column=1, sticky="ew", pady=4)
+
+ device_options = [
+ f"[{idx}] {dev['name']} ({dev.get('max_input_channels', 0)} ch)"
+ for idx, dev in input_devices
+ ]
+ device_names = [dev["name"] for _idx, dev in input_devices]
+ device_combo = ttk.Combobox(frame, values=device_options, state="readonly", width=60)
+
+ default_device_name = get_value("audio_device_name", "")
+ if default_device_name in device_names:
+ device_combo.current(device_names.index(default_device_name))
+ else:
+ device_combo.current(0)
+ add_row(0, "Audio input device:", device_combo)
+
+ model_var = tk.StringVar(value=get_value("model_name", "medium"))
+ model_combo = ttk.Combobox(frame, values=list(model_choices), textvariable=model_var)
+ model_combo.set(model_var.get())
+ add_row(1, "Model:", model_combo)
+
+ device_type_var = tk.StringVar(value=get_value("device", "cpu"))
+ device_type_combo = ttk.Combobox(
+ frame, values=list(device_choices), textvariable=device_type_var, state="readonly"
+ )
+ device_type_combo.set(device_type_var.get())
+ add_row(2, "Compute device:", device_type_combo)
+
+ compute_type_var = tk.StringVar(value=get_value("compute_type", "int8"))
+ compute_type_combo = ttk.Combobox(
+ frame, values=list(compute_choices), textvariable=compute_type_var
+ )
+ compute_type_combo.set(compute_type_var.get())
+ add_row(3, "Compute type:", compute_type_combo)
+
+ task_var = tk.StringVar(value=get_value("task", "translate"))
+ task_combo = ttk.Combobox(frame, values=list(task_choices), textvariable=task_var, state="readonly")
+ task_combo.set(task_var.get())
+ add_row(4, "Task:", task_combo)
+
+ beam_size_var = tk.StringVar(value=str(get_value("beam_size", 3)))
+ beam_entry = ttk.Entry(frame, textvariable=beam_size_var, width=10)
+ add_row(5, "Beam size:", beam_entry)
+
+ language_var = tk.StringVar(value=get_value("language", ""))
+ language_entry = ttk.Entry(frame, textvariable=language_var)
+ add_row(6, "Language (optional):", language_entry)
+
+ context_seconds_var = tk.StringVar(value=str(get_value("context_seconds", 10)))
+ context_entry = ttk.Entry(frame, textvariable=context_seconds_var, width=10)
+ add_row(7, "Context seconds:", context_entry)
+
+ update_interval_var = tk.StringVar(value=str(get_value("update_interval_seconds", 2)))
+ update_interval_entry = ttk.Entry(frame, textvariable=update_interval_var, width=10)
+ add_row(8, "Update interval (s):", update_interval_entry)
+
+ button_frame = ttk.Frame(root, padding=(10, 0, 10, 10))
+ button_frame.pack(fill="x")
+
+ selected_settings: Dict[str, Any] = {}
+
+ def on_ok() -> None:
+ nonlocal selected_settings
+ selection = device_combo.current()
+ if selection < 0:
+ messagebox.showwarning("Select a device", "Please select an audio input device.")
+ return
+ model_name = model_var.get().strip()
+ if not model_name:
+ messagebox.showwarning("Model required", "Please select or enter a model name.")
+ return
+ try:
+ beam_size = int(beam_size_var.get().strip())
+ if beam_size <= 0:
+ raise ValueError
+ except ValueError:
+ messagebox.showwarning("Invalid beam size", "Beam size must be a positive integer.")
+ return
+ try:
+ context_seconds = float(context_seconds_var.get().strip())
+ if context_seconds <= 0:
+ raise ValueError
+ except ValueError:
+ messagebox.showwarning("Invalid context seconds", "Context seconds must be a positive number.")
+ return
+ try:
+ update_interval_seconds = float(update_interval_var.get().strip())
+ if update_interval_seconds <= 0:
+ raise ValueError
+ except ValueError:
+ messagebox.showwarning(
+ "Invalid update interval", "Update interval must be a positive number."
+ )
+ return
+ selected_settings = {
+ "audio_device_name": device_names[selection],
+ "model_name": model_name,
+ "device": device_type_var.get().strip() or "cpu",
+ "compute_type": compute_type_var.get().strip() or "int8",
+ "task": task_var.get().strip() or "translate",
+ "beam_size": beam_size,
+ "language": language_var.get().strip(),
+ "context_seconds": context_seconds,
+ "update_interval_seconds": update_interval_seconds,
+ }
+ root.quit()
+
+ def on_cancel() -> None:
+ root.quit()
+
+ ok_button = ttk.Button(button_frame, text="OK", command=on_ok)
+ cancel_button = ttk.Button(button_frame, text="Cancel", command=on_cancel)
+ ok_button.pack(side="left", padx=(0, 6))
+ cancel_button.pack(side="left")
+
+ root.protocol("WM_DELETE_WINDOW", on_cancel)
+ root.mainloop()
+ root.destroy()
+
+ if not selected_settings:
+ raise SystemExit("No settings selected.")
+ return selected_settings
+
+
+def prompt_input_sample_rate(device_index: int, common_rates: Iterable[int] | None = None) -> int:
+ rates = list(common_rates) if common_rates is not None else [48000, 44100, 32000, 24000, 22050, 16000, 12000, 8000]
+ root = tk.Tk()
+ root.withdraw()
+ try:
+ while True:
+ prompt = (
+ "Enter an input sample rate in Hz.\n"
+ f"Common values: {', '.join(str(r) for r in rates)}"
+ )
+ raw = simpledialog.askstring("Select Sample Rate", prompt, parent=root)
+ if raw is None:
+ raise sd.PortAudioError("No supported input sample rate found for selected device.")
+ raw = raw.strip()
+ if not raw:
+ continue
+ try:
+ rate = int(float(raw))
+ except ValueError:
+ messagebox.showwarning("Invalid value", "Sample rate must be a number.", parent=root)
+ continue
+ try:
+ sd.check_input_settings(device=device_index, channels=1, samplerate=rate, dtype="float32")
+ return rate
+ except sd.PortAudioError:
+ messagebox.showwarning(
+ "Unsupported sample rate",
+ f"{rate} Hz is not supported by the selected device.",
+ parent=root,
+ )
+ finally:
+ root.destroy() \ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..37c0cd5
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,12 @@
+[project]
+name = "auto-live-tl"
+version = "0.1.0"
+description = "A basic translation backend for translating any audio source via PCM"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+ "faster-whisper>=1.2.1",
+ "flask>=3.1.3",
+ "flask-cors>=6.0.2",
+ "sounddevice>=0.5.5",
+]
diff --git a/server.py b/server.py
new file mode 100644
index 0000000..65a4567
--- /dev/null
+++ b/server.py
@@ -0,0 +1,295 @@
+import time
+import threading
+import json
+import queue
+import os
+from flask import Flask, Response, stream_with_context
+from flask_cors import CORS
+import numpy as np
+import sounddevice as sd
+from faster_whisper import WhisperModel
+from gui import select_settings, prompt_input_sample_rate
+
+TARGET_SAMPLE_RATE = 16000
+CAPTURE_SAMPLE_RATE = 0
+BUFFER_SECONDS = 10
+MAX_SAMPLES = 0
+PROCESS_INTERVAL_SECONDS = 2
+SSE_EVENT_SUBTITLE = "subtitle"
+SSE_KEEPALIVE_SECONDS = 15
+
+SETTINGS_PATH = os.path.join(os.path.dirname(__file__), "settings.json")
+
+DEFAULT_SETTINGS = {
+ "audio_device_name": "",
+ "model_name": "medium",
+ "device": "cpu",
+ "compute_type": "int8",
+ "task": "translate",
+ "beam_size": 3,
+ "language": "",
+ "context_seconds": 10,
+ "update_interval_seconds": 2,
+}
+
+MODEL_CHOICES = ["tiny", "base", "small", "medium", "large-v2", "large-v3", "distil-large-v3"]
+DEVICE_CHOICES = ["cpu", "cuda", "auto"]
+COMPUTE_CHOICES = ["int8", "int8_float16", "float16", "float32"]
+TASK_CHOICES = ["translate", "transcribe"]
+
+audio_buffer = np.zeros(0, dtype=np.float32)
+lock = threading.Lock()
+model = None
+WHISPER_TASK = DEFAULT_SETTINGS["task"]
+WHISPER_BEAM_SIZE = DEFAULT_SETTINGS["beam_size"]
+WHISPER_LANGUAGE = DEFAULT_SETTINGS["language"]
+
+last_payload = None
+clients = set()
+clients_lock = threading.Lock()
+SERVER_HOST = "127.0.0.1"
+SERVER_PORT = 5000
+app = Flask(__name__)
+CORS(app)
+
+def resample_audio(audio_np: np.ndarray, src_rate: int, dst_rate: int) -> np.ndarray:
+ if src_rate == dst_rate:
+ return audio_np
+ if len(audio_np) == 0:
+ return audio_np
+ dst_len = int(len(audio_np) * dst_rate / src_rate)
+ if dst_len <= 0:
+ return audio_np[:0]
+ x_old = np.arange(len(audio_np))
+ x_new = np.linspace(0, len(audio_np) - 1, dst_len)
+ return np.interp(x_new, x_old, audio_np).astype(np.float32)
+
+
+def load_settings() -> dict:
+ if not os.path.exists(SETTINGS_PATH):
+ return DEFAULT_SETTINGS.copy()
+ try:
+ with open(SETTINGS_PATH, "r", encoding="utf-8") as handle:
+ data = json.load(handle)
+ except (OSError, json.JSONDecodeError):
+ return DEFAULT_SETTINGS.copy()
+ merged = DEFAULT_SETTINGS.copy()
+ for key, value in data.items():
+ if key in merged:
+ merged[key] = value
+ return merged
+
+
+def save_settings(settings: dict) -> None:
+ try:
+ with open(SETTINGS_PATH, "w", encoding="utf-8") as handle:
+ json.dump(settings, handle, indent=2)
+ except OSError as exc:
+ print(f"Failed to save settings: {exc}")
+
+
+def run_whisper(audio_np: np.ndarray) -> str:
+ transcribe_kwargs = {"task": WHISPER_TASK, "beam_size": WHISPER_BEAM_SIZE}
+ if WHISPER_LANGUAGE:
+ transcribe_kwargs["language"] = WHISPER_LANGUAGE
+ segments, _info = model.transcribe(audio_np, **transcribe_kwargs)
+ text = " ".join(seg.text for seg in segments).strip()
+ if text:
+ print("🟢", text)
+ broadcast_subtitle(text)
+ return text
+
+
+def broadcast_subtitle(text: str) -> None:
+ global last_payload
+ payload = {"text": text}
+ last_payload = payload
+ with clients_lock:
+ targets = list(clients)
+ for client_queue in targets:
+ try:
+ client_queue.put_nowait(payload)
+ except queue.Full:
+ pass
+
+def format_sse_event(event: str, payload: dict) -> str:
+ data = json.dumps(payload)
+ return f"event: {event}\ndata: {data}\n\n"
+
+def event_stream():
+ client_queue = queue.Queue(maxsize=10)
+ with clients_lock:
+ clients.add(client_queue)
+
+ if last_payload:
+ yield format_sse_event(SSE_EVENT_SUBTITLE, last_payload)
+
+ try:
+ while True:
+ try:
+ payload_data = client_queue.get(timeout=SSE_KEEPALIVE_SECONDS)
+ except queue.Empty:
+ yield ": keep-alive\n\n"
+ continue
+ yield format_sse_event(SSE_EVENT_SUBTITLE, payload_data)
+ finally:
+ with clients_lock:
+ clients.discard(client_queue)
+
+@app.get("/events")
+def events():
+ headers = {
+ "Cache-Control": "no-cache",
+ "Connection": "keep-alive",
+ "Access-Control-Allow-Origin": "*",
+ }
+ return Response(stream_with_context(event_stream()), mimetype="text/event-stream", headers=headers)
+
+
+@app.get("/health")
+def health():
+ response = Response("ok", mimetype="text/plain")
+ response.headers["Access-Control-Allow-Origin"] = "*"
+ return response
+
+
+def start_subtitle_server():
+ thread = threading.Thread(
+ target=lambda: app.run(
+ host=SERVER_HOST,
+ port=SERVER_PORT,
+ threaded=True,
+ use_reloader=False,
+ ),
+ daemon=True,
+ )
+ thread.start()
+ print(f"SSE subtitle server listening on http://{SERVER_HOST}:{SERVER_PORT}/events")
+ return thread
+
+
+def list_audio_devices() -> None:
+ devices = sd.query_devices()
+ print("Available audio devices:")
+ for idx, dev in enumerate(devices):
+ io = []
+ if dev["max_input_channels"] > 0:
+ io.append("input")
+ if dev["max_output_channels"] > 0:
+ io.append("output")
+ io_str = "/".join(io) if io else "none"
+ print(f"[{idx}] {dev['name']} ({io_str})")
+
+def audio_callback(indata, frames, time_info, status):
+ if status:
+ print(f"Audio status: {status}")
+ chunk = indata[:, 0].copy()
+
+ global audio_buffer
+ with lock:
+ audio_buffer = np.concatenate([audio_buffer, chunk])
+ if len(audio_buffer) > MAX_SAMPLES:
+ audio_buffer = audio_buffer[-MAX_SAMPLES:]
+
+
+def processing_loop():
+ while True:
+ time.sleep(PROCESS_INTERVAL_SECONDS)
+ with lock:
+ if len(audio_buffer) == 0 or CAPTURE_SAMPLE_RATE <= 0:
+ continue
+ audio_copy = audio_buffer.copy()
+ capture_rate = CAPTURE_SAMPLE_RATE
+ audio_16k = resample_audio(audio_copy, capture_rate, TARGET_SAMPLE_RATE)
+ run_whisper(audio_16k)
+
+
+def select_input_sample_rate(device_index: int, preferred_rate: int) -> int:
+ common_rates = [48000, 44100, 32000, 24000, 22050, 16000, 12000, 8000]
+ tried = set()
+ for rate in [preferred_rate] + common_rates:
+ if rate in tried or rate <= 0:
+ continue
+ tried.add(rate)
+ try:
+ sd.check_input_settings(device=device_index, channels=1, samplerate=rate, dtype="float32")
+ return rate
+ except sd.PortAudioError:
+ continue
+ return prompt_input_sample_rate(device_index, common_rates)
+
+
+def main():
+ global CAPTURE_SAMPLE_RATE, MAX_SAMPLES, model, WHISPER_TASK, WHISPER_BEAM_SIZE, WHISPER_LANGUAGE
+ global BUFFER_SECONDS, PROCESS_INTERVAL_SECONDS
+ start_subtitle_server()
+
+ settings = load_settings()
+ devices = sd.query_devices()
+ input_devices = [(idx, dev) for idx, dev in enumerate(devices) if dev["max_input_channels"] > 0]
+ settings = select_settings(
+ settings,
+ input_devices,
+ DEFAULT_SETTINGS,
+ MODEL_CHOICES,
+ DEVICE_CHOICES,
+ COMPUTE_CHOICES,
+ TASK_CHOICES,
+ )
+ save_settings(settings)
+
+ device_name = settings.get("audio_device_name", "")
+ matched_index = None
+ for idx, dev in enumerate(devices):
+ if dev.get("name") == device_name and dev.get("max_input_channels", 0) > 0:
+ matched_index = idx
+ break
+ if matched_index is None:
+ raise RuntimeError("Saved audio device not found. Please reselect in the settings window.")
+ device_index = matched_index
+
+ model_name = settings["model_name"]
+ whisper_device = settings["device"]
+ compute_type = settings["compute_type"]
+ WHISPER_TASK = settings["task"]
+ WHISPER_BEAM_SIZE = int(settings["beam_size"])
+ WHISPER_LANGUAGE = settings["language"].strip() if settings["language"] else ""
+ BUFFER_SECONDS = float(settings.get("context_seconds", BUFFER_SECONDS))
+ PROCESS_INTERVAL_SECONDS = float(settings.get("update_interval_seconds", PROCESS_INTERVAL_SECONDS))
+ if BUFFER_SECONDS <= 0:
+ BUFFER_SECONDS = DEFAULT_SETTINGS["context_seconds"]
+ if PROCESS_INTERVAL_SECONDS <= 0:
+ PROCESS_INTERVAL_SECONDS = DEFAULT_SETTINGS["update_interval_seconds"]
+
+ model = WhisperModel(model_name, device=whisper_device, compute_type=compute_type)
+
+ device_info = sd.query_devices(device_index)
+ preferred_rate = int(device_info["default_samplerate"])
+ if preferred_rate <= 0:
+ preferred_rate = 48000
+ CAPTURE_SAMPLE_RATE = select_input_sample_rate(device_index, preferred_rate)
+ MAX_SAMPLES = int(CAPTURE_SAMPLE_RATE * BUFFER_SECONDS)
+ print(f"Using device {device_index}: {device_info['name']}")
+ print(f"Model: {model_name} | task={WHISPER_TASK} | beam_size={WHISPER_BEAM_SIZE}")
+ print(f"Compute: device={whisper_device} | compute_type={compute_type}")
+ print(f"Capture sample rate: {CAPTURE_SAMPLE_RATE} Hz (resampling to {TARGET_SAMPLE_RATE} Hz)")
+ processing_thread = threading.Thread(target=processing_loop, daemon=True)
+ processing_thread.start()
+ with sd.InputStream(
+ device=device_index,
+ channels=1,
+ samplerate=CAPTURE_SAMPLE_RATE,
+ dtype="float32",
+ callback=audio_callback,
+ blocksize=int(CAPTURE_SAMPLE_RATE * 0.5),
+ ):
+ print("Listening... Press Ctrl+C to stop.")
+ try:
+ while True:
+ time.sleep(1)
+ except KeyboardInterrupt:
+ print("Stopping.")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..37d8686
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,740 @@
+version = 1
+revision = 3
+requires-python = ">=3.13"
+
+[[package]]
+name = "annotated-doc"
+version = "0.0.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
+]
+
+[[package]]
+name = "anyio"
+version = "4.13.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "idna" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
+]
+
+[[package]]
+name = "auto-live-tl"
+version = "0.1.0"
+source = { virtual = "." }
+dependencies = [
+ { name = "faster-whisper" },
+ { name = "flask" },
+ { name = "flask-cors" },
+ { name = "sounddevice" },
+]
+
+[package.metadata]
+requires-dist = [
+ { name = "faster-whisper", specifier = ">=1.2.1" },
+ { name = "flask", specifier = ">=3.1.3" },
+ { name = "flask-cors", specifier = ">=6.0.2" },
+ { name = "sounddevice", specifier = ">=0.5.5" },
+]
+
+[[package]]
+name = "av"
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+// @description Auto Translate Live Subtitles
+// @author pinapelz
+// @match https://www.youtube.com/*
+// @grant none
+// @run-at document-idle
+// ==/UserScript==
+
+(function () {
+ "use strict";
+
+ const PANEL_ID = "altl-subtitle-panel";
+ const SUBTITLE_TEXT_ID = "altl-subtitle-text";
+ const FOOTER_TEXT_ID = "altl-footer-text";
+ const EVENTS_URL = "http://127.0.0.1:5000/events";
+
+ let eventSource = null;
+ let isConnected = false;
+ let lastError = null;
+ let reconnectTimer = null;
+ const MAX_SUBTITLE_LINES = 3;
+ const recentLines = [];
+
+ function getPrimary() {
+ return document.querySelector("#columns #primary");
+ }
+
+ function getPlayerNode(primary) {
+ return (
+ primary?.querySelector("#player") ||
+ primary?.querySelector("ytd-player") ||
+ primary?.querySelector("#movie_player")?.closest("#player") ||
+ primary?.querySelector("#movie_player") ||
+ null
+ );
+ }
+
+ function getTitleAnchor(primary) {
+ return (
+ primary?.querySelector("ytd-watch-metadata") ||
+ primary?.querySelector("#title h1")?.closest("ytd-watch-metadata") ||
+ primary?.querySelector("#below ytd-watch-metadata") ||
+ primary?.querySelector("#below")?.firstElementChild ||
+ null
+ );
+ }
+
+ function ensurePanel() {
+ let panel = document.getElementById(PANEL_ID);
+ if (!panel) {
+ panel = document.createElement("div");
+ panel.id = PANEL_ID;
+
+ const subtitleText = document.createElement("div");
+ subtitleText.id = SUBTITLE_TEXT_ID;
+ subtitleText.textContent = "This is a sample subtitle.";
+
+ const footerText = document.createElement("div");
+ footerText.id = FOOTER_TEXT_ID;
+ footerText.textContent = "Machine Translated - no translation should be taken as authoritative or quoted verbatim";
+ footerText.style.marginTop = "8px";
+ footerText.style.fontSize = "12px";
+ footerText.style.opacity = "0.7";
+ footerText.style.textAlign = "center";
+
+ panel.appendChild(subtitleText);
+ panel.appendChild(footerText);
+
+ panel.style.display = "block";
+ panel.style.boxSizing = "border-box";
+ panel.style.width = "100%";
+ panel.style.margin = "8px 0 12px";
+ panel.style.padding = "10px 14px";
+ panel.style.borderRadius = "10px";
+ panel.style.background = "rgba(255,255,255,0.04)";
+ panel.style.border = "1px solid rgba(255,255,255,0.12)";
+ panel.style.color = "var(--yt-spec-text-primary, #f1f1f1)";
+ panel.style.fontSize = "16px";
+ panel.style.lineHeight = "1.45";
+ panel.style.fontWeight = "500";
+ panel.style.textAlign = "center";
+ panel.style.whiteSpace = "pre-wrap";
+ panel.style.wordBreak = "break-word";
+ }
+ return panel;
+ }
+
+ function getSubtitleNode(panel) {
+ return panel?.querySelector(`#${SUBTITLE_TEXT_ID}`) || null;
+ }
+
+
+
+ function setSubtitleText(panel, text) {
+ const node = getSubtitleNode(panel);
+ if (node) node.textContent = text;
+ }
+
+
+
+ function renderSubtitleHistory(panel) {
+ const node = getSubtitleNode(panel);
+ if (!node) return;
+ node.textContent = "";
+ recentLines.forEach((line, index) => {
+ const row = document.createElement("div");
+ row.textContent = line;
+ const opacity = Math.max(0.35, 1 - index * 0.15);
+ row.style.opacity = String(opacity);
+ if (index > 0) row.style.filter = "grayscale(1)";
+ node.appendChild(row);
+ });
+ }
+
+ function updateSubtitleHistory(panel, text) {
+ if (!text) return;
+ if (recentLines.length > 0 && recentLines[0] === text) {
+ renderSubtitleHistory(panel);
+ return;
+ }
+ recentLines.unshift(text);
+ if (recentLines.length > MAX_SUBTITLE_LINES) {
+ recentLines.splice(MAX_SUBTITLE_LINES);
+ }
+ renderSubtitleHistory(panel);
+ }
+
+ function safePlaceBefore(targetNode, nodeToPlace) {
+ if (!targetNode || !targetNode.parentNode || !targetNode.isConnected) return false;
+
+ const parent = targetNode.parentNode;
+ if (nodeToPlace.parentNode !== parent || nodeToPlace.nextSibling !== targetNode) {
+ parent.insertBefore(nodeToPlace, targetNode);
+ }
+ return true;
+ }
+
+ function safePlaceAfter(targetNode, nodeToPlace) {
+ if (!targetNode || !targetNode.parentNode || !targetNode.isConnected) return false;
+
+ const parent = targetNode.parentNode;
+ const desiredNext = targetNode.nextSibling;
+ if (nodeToPlace.parentNode !== parent || nodeToPlace.previousSibling !== targetNode) {
+ parent.insertBefore(nodeToPlace, desiredNext);
+ }
+ return true;
+ }
+
+ function connectEventSource(panel) {
+ if (eventSource) {
+ eventSource.close();
+ eventSource = null;
+ }
+
+ setSubtitleText(panel, "Connecting to local subtitle server...");
+ const source = new EventSource(EVENTS_URL);
+ eventSource = source;
+
+ source.addEventListener("subtitle", (event) => {
+ try {
+ const data = JSON.parse(event.data || "{}");
+ updateSubtitleHistory(panel, data.text || "");
+ } catch (err) {
+ lastError = err;
+ console.warn("Auto-Live-TL: failed to parse subtitle event", err);
+ }
+ });
+
+
+
+ source.onopen = () => {
+ isConnected = true;
+ if (recentLines.length > 0) {
+ renderSubtitleHistory(panel);
+ } else {
+ setSubtitleText(panel, "Connected. Waiting for subtitles...");
+ }
+ };
+
+ source.onerror = () => {
+ isConnected = false;
+ setSubtitleText(panel, "Connection lost. Reconnecting...");
+ if (eventSource) {
+ eventSource.close();
+ eventSource = null;
+ }
+ if (!reconnectTimer) {
+ reconnectTimer = setTimeout(() => {
+ reconnectTimer = null;
+ connectEventSource(panel);
+ }, 2000);
+ }
+ };
+ }
+
+ function startListeningIfNeeded(panel) {
+ if (isConnected || eventSource) return;
+ if (!location.pathname.startsWith("/watch")) return;
+ connectEventSource(panel);
+ }
+
+ function injectSubtitlePanel() {
+ if (!location.pathname.startsWith("/watch")) return false;
+
+ const primary = getPrimary();
+ if (!primary) return false;
+
+ const panel = ensurePanel();
+
+ startListeningIfNeeded(panel);
+ const titleAnchor = getTitleAnchor(primary);
+ if (safePlaceBefore(titleAnchor, panel)) return true;
+ const playerNode = getPlayerNode(primary);
+ if (safePlaceAfter(playerNode, panel)) return true;
+
+ return false;
+ }
+
+ injectSubtitlePanel();
+
+ const observer = new MutationObserver(() => {
+ injectSubtitlePanel();
+ });
+
+ observer.observe(document.documentElement, {
+ childList: true,
+ subtree: true,
+ });
+
+ window.addEventListener("yt-navigate-finish", injectSubtitlePanel);
+})();
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