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fix: address PR review round 4 — remove web UI, fix audio/import/interface issues

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Remove web UI gateway (web.py, tests, docs, toolset, env vars, Platform.WEB
enum) per maintainer request — Nous is building their own official chat UI.

Fix 1: Replace sd.wait() with polling pattern in play_audio_file() to prevent
indefinite hang when audio device stalls (consistent with play_beep()).

Fix 2: Use importlib.util.find_spec() for faster_whisper/openai availability
checks instead of module-level imports that trigger heavy native library
loading (CUDA/cuDNN) at import time.

Fix 3: Remove inspect.signature() hack in _send_voice_reply() — add **kwargs
to Telegram send_voice() so all adapters accept metadata uniformly.

Fix 4: Make session loading resilient to removed platform enum values — skip
entries with unknown platforms instead of crashing the entire gateway.
This commit is contained in:
0xbyt4 2026-03-14 09:06:52 +03:00
parent 1ad5e0ed15
commit 35748a2fb0
17 changed files with 55 additions and 2930 deletions
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20
tools/transcription_tools.py
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@ -34,18 +34,9 @@ logger = logging.getLogger(__name__)
# Optional imports — graceful degradation
# ---------------------------------------------------------------------------
try:
from faster_whisper import WhisperModel
_HAS_FASTER_WHISPER = True
except ImportError:
_HAS_FASTER_WHISPER = False
WhisperModel = None # type: ignore[assignment,misc]
try:
from openai import OpenAI, APIError, APIConnectionError, APITimeoutError
_HAS_OPENAI = True
except ImportError:
_HAS_OPENAI = False
import importlib.util as _ilu
_HAS_FASTER_WHISPER = _ilu.find_spec("faster_whisper") is not None
_HAS_OPENAI = _ilu.find_spec("openai") is not None
# ---------------------------------------------------------------------------
# Constants
@ -67,7 +58,7 @@ OPENAI_MODELS = {"whisper-1", "gpt-4o-mini-transcribe", "gpt-4o-transcribe"}
GROQ_MODELS = {"whisper-large-v3", "whisper-large-v3-turbo", "distil-whisper-large-v3-en"}
# Singleton for the local model — loaded once, reused across calls
_local_model: Optional["WhisperModel"] = None
_local_model: Optional[object] = None
_local_model_name: Optional[str] = None
# ---------------------------------------------------------------------------
@ -195,6 +186,7 @@ def _transcribe_local(file_path: str, model_name: str) -> Dict[str, Any]:
return {"success": False, "transcript": "", "error": "faster-whisper not installed"}
try:
from faster_whisper import WhisperModel
# Lazy-load the model (downloads on first use, ~150 MB for 'base')
if _local_model is None or _local_model_name != model_name:
logger.info("Loading faster-whisper model '%s' (first load downloads the model)...", model_name)
@ -235,6 +227,7 @@ def _transcribe_groq(file_path: str, model_name: str) -> Dict[str, Any]:
model_name = DEFAULT_GROQ_STT_MODEL
try:
from openai import OpenAI, APIError, APIConnectionError, APITimeoutError
client = OpenAI(api_key=api_key, base_url=GROQ_BASE_URL, timeout=30, max_retries=0)
with open(file_path, "rb") as audio_file:
@ -282,6 +275,7 @@ def _transcribe_openai(file_path: str, model_name: str) -> Dict[str, Any]:
model_name = DEFAULT_STT_MODEL
try:
from openai import OpenAI, APIError, APIConnectionError, APITimeoutError
client = OpenAI(api_key=api_key, base_url=OPENAI_BASE_URL, timeout=30, max_retries=0)
with open(file_path, "rb") as audio_file: