Persist web UI translation settings

README.md

@@ -76,6 +76,8 @@ Gradio provides a local browser UI for starting dub jobs, watching logs, and dow
 
 Open `http://127.0.0.1:7860` and submit a YouTube URL. Jobs run through the same `main.py` pipeline, so the CLI options and environment variables still apply.
 
+The OpenAI-compatible translation endpoint, API key, and model can be changed in the UI under **OpenAI-Compatible Settings**. Click **Save Settings** to persist them to `.cache/web_settings.json` for future web jobs. Unsaved values in the fields are still used for the next job you start.
+
 ### Docker
 
 Build and run the Gradio UI in a container:

tests/test_web_app.py

@@ -4,7 +4,8 @@ from __future__ import annotations
 
 import sys
 
-from web_app import build_pipeline_command, create_app
+import web_app
+from web_app import build_pipeline_command, create_app, load_translation_settings, save_translation_settings
 
 
 def test_build_pipeline_command_uses_cli_parser_defaults():
@@ -42,3 +43,37 @@ def test_create_app_builds_gradio_blocks():
     app = create_app()
 
     assert app.title == "Gradio YouTube Auto Dub"
+
+
+def test_save_and_load_translation_settings(tmp_path, monkeypatch):
+    settings_file = tmp_path / "web_settings.json"
+    monkeypatch.setattr(web_app, "SETTINGS_FILE", settings_file)
+
+    base_url, api_key, model, message = save_translation_settings(
+        "http://openai-compatible.local:8080/v1",
+        "secret-key",
+        "custom-model",
+    )
+
+    assert base_url == "http://openai-compatible.local:8080/v1"
+    assert api_key == "secret-key"
+    assert model == "custom-model"
+    assert str(settings_file) in message
+    assert load_translation_settings() == {
+        "base_url": "http://openai-compatible.local:8080/v1",
+        "api_key": "secret-key",
+        "model": "custom-model",
+    }
+
+
+def test_load_translation_settings_uses_env_defaults(tmp_path, monkeypatch):
+    monkeypatch.setattr(web_app, "SETTINGS_FILE", tmp_path / "missing.json")
+    monkeypatch.setenv("LM_STUDIO_BASE_URL", "http://env-host:1234/v1")
+    monkeypatch.setenv("LM_STUDIO_API_KEY", "env-key")
+    monkeypatch.setenv("LM_STUDIO_MODEL", "env-model")
+
+    assert load_translation_settings() == {
+        "base_url": "http://env-host:1234/v1",
+        "api_key": "env-key",
+        "model": "env-model",
+    }

web_app.py

@@ -5,6 +5,7 @@ from __future__ import annotations
 
 from dataclasses import dataclass, field
 from datetime import datetime, timezone
+import json
 from pathlib import Path
 import os
 import subprocess
@@ -17,10 +18,16 @@ import gradio as gr
 from main import build_parser
 from src.audio_separation import DEFAULT_MIX_MODE
 from src.engines import OUTPUT_DIR
+from src.translation import (
+    DEFAULT_LM_STUDIO_API_KEY,
+    DEFAULT_LM_STUDIO_BASE_URL,
+    DEFAULT_LM_STUDIO_MODEL,
+)
 
 
 BASE_DIR = Path(__file__).resolve().parent
 LOG_DIR = BASE_DIR / "logs" / "gradio"
+SETTINGS_FILE = BASE_DIR / ".cache" / "web_settings.json"
 
 
 @dataclass
@@ -30,6 +37,7 @@ class DubJob:
     id: str
     command: list[str]
     log_path: Path
+    env_overrides: dict[str, str] = field(default_factory=dict)
     created_at: datetime = field(default_factory=lambda: datetime.now(timezone.utc))
     status: str = "queued"
     returncode: int | None = None
@@ -40,6 +48,52 @@ JOBS: dict[str, DubJob] = {}
 JOBS_LOCK = threading.Lock()
 
 
+def _default_translation_settings() -> dict[str, str]:
+    return {
+        "base_url": os.getenv("LM_STUDIO_BASE_URL") or DEFAULT_LM_STUDIO_BASE_URL,
+        "api_key": os.getenv("LM_STUDIO_API_KEY") or DEFAULT_LM_STUDIO_API_KEY,
+        "model": os.getenv("LM_STUDIO_MODEL") or DEFAULT_LM_STUDIO_MODEL,
+    }
+
+
+def load_translation_settings() -> dict[str, str]:
+    """Load saved OpenAI-compatible translation settings."""
+    settings = _default_translation_settings()
+    if not SETTINGS_FILE.exists():
+        return settings
+
+    try:
+        payload = json.loads(SETTINGS_FILE.read_text(encoding="utf-8"))
+    except (OSError, json.JSONDecodeError):
+        return settings
+
+    if not isinstance(payload, dict):
+        return settings
+
+    for key in settings:
+        value = payload.get(key)
+        if isinstance(value, str) and value.strip():
+            settings[key] = value.strip()
+    return settings
+
+
+def save_translation_settings(base_url: str, api_key: str, model: str) -> tuple[str, str, str, str]:
+    """Persist OpenAI-compatible endpoint settings for future web jobs."""
+    settings = {
+        "base_url": (base_url or "").strip() or DEFAULT_LM_STUDIO_BASE_URL,
+        "api_key": (api_key or "").strip() or DEFAULT_LM_STUDIO_API_KEY,
+        "model": (model or "").strip() or DEFAULT_LM_STUDIO_MODEL,
+    }
+    SETTINGS_FILE.parent.mkdir(parents=True, exist_ok=True)
+    SETTINGS_FILE.write_text(json.dumps(settings, indent=2), encoding="utf-8")
+    return (
+        settings["base_url"],
+        settings["api_key"],
+        settings["model"],
+        f"Saved settings to {SETTINGS_FILE}",
+    )
+
+
 def _utc_iso(value: datetime | None) -> str | None:
     if value is None:
         return None
@@ -143,6 +197,7 @@ def _run_job(job: DubJob) -> None:
 
     env = os.environ.copy()
     env["PYTHONUNBUFFERED"] = "1"
+    env.update(job.env_overrides)
 
     with job.log_path.open("w", encoding="utf-8", errors="replace") as log_file:
         log_file.write("Gradio started a YouTube Auto Dub job.\n")
@@ -185,9 +240,14 @@ def _start_job(
     browser: str,
     cookies: str,
     lmstudio_base_url: str,
+    lmstudio_api_key: str,
     lmstudio_model: str,
     gpu: bool,
 ) -> tuple[str, str, str, gr.Dropdown]:
+    saved_settings = load_translation_settings()
+    base_url = (lmstudio_base_url or "").strip() or saved_settings["base_url"]
+    api_key = (lmstudio_api_key or "").strip() or saved_settings["api_key"]
+    model = (lmstudio_model or "").strip() or saved_settings["model"]
     form = {
         "url": url,
         "lang": lang,
@@ -196,8 +256,8 @@ def _start_job(
         "browser": browser,
         "cookies": cookies,
         "translation_backend": "lmstudio",
-        "lmstudio_base_url": lmstudio_base_url,
+        "lmstudio_base_url": base_url,
-        "lmstudio_model": lmstudio_model,
+        "lmstudio_model": model,
         "gpu": gpu,
     }
 
@@ -213,6 +273,11 @@ def _start_job(
         id=job_id,
         command=command,
         log_path=LOG_DIR / f"{job_id}.log",
+        env_overrides={
+            "LM_STUDIO_BASE_URL": base_url,
+            "LM_STUDIO_API_KEY": api_key,
+            "LM_STUDIO_MODEL": model,
+        },
     )
 
     with JOBS_LOCK:
@@ -245,6 +310,7 @@ def _select_output(filename: str | None) -> str | None:
 
 def create_app() -> gr.Blocks:
     """Create the Gradio app."""
+    saved_settings = load_translation_settings()
     with gr.Blocks(title="Gradio YouTube Auto Dub") as demo:
         gr.Markdown(
             """
@@ -277,12 +343,29 @@ def create_app() -> gr.Blocks:
                     )
                 cookies = gr.Textbox(label="Cookies File", placeholder=r"C:\path\to\cookies.txt")
 
-                with gr.Accordion("Translation Settings", open=False):
+                with gr.Accordion("OpenAI-Compatible Settings", open=False):
                     lmstudio_base_url = gr.Textbox(
-                        label="LM Studio URL",
+                        label="Endpoint",
-                        placeholder="http://127.0.0.1:1234/v1",
+                        value=saved_settings["base_url"],
+                        placeholder=DEFAULT_LM_STUDIO_BASE_URL,
                     )
-                    lmstudio_model = gr.Textbox(label="Model", placeholder="gemma-3-4b-it")
+                    lmstudio_api_key = gr.Textbox(
+                        label="API Key",
+                        value=saved_settings["api_key"],
+                        type="password",
+                    )
+                    lmstudio_model = gr.Textbox(
+                        label="Model",
+                        value=saved_settings["model"],
+                        placeholder=DEFAULT_LM_STUDIO_MODEL,
+                    )
+                    with gr.Row():
+                        save_settings = gr.Button("Save Settings")
+                        settings_status = gr.Textbox(
+                            label="Settings Status",
+                            value=f"Loaded from {SETTINGS_FILE if SETTINGS_FILE.exists() else 'environment defaults'}",
+                            interactive=False,
+                        )
                     gpu = gr.Checkbox(label="Prefer GPU", value=False)
 
                 start = gr.Button("Start Dub", variant="primary")
@@ -309,9 +392,15 @@ def create_app() -> gr.Blocks:
             browser,
             cookies,
             lmstudio_base_url,
+            lmstudio_api_key,
             lmstudio_model,
             gpu,
         ]
+        save_settings.click(
+            save_translation_settings,
+            inputs=[lmstudio_base_url, lmstudio_api_key, lmstudio_model],
+            outputs=[lmstudio_base_url, lmstudio_api_key, lmstudio_model, settings_status],
+        )
         start.click(
             _start_job,
             inputs=inputs,