tried to fix transcribing

pipeline/transcriber.py

@@ -220,14 +220,21 @@ class Transcriber:
 
         if not _TORCH_AVAILABLE:
             try:
+                import inspect
                 from huggingface_hub import snapshot_download
 
-                snapshot_download(
-                    repo_id=TRANSCRIBE_MODEL_ID,
-                    use_auth_token=HF_TOKEN or None,
-                    local_files_only=False,
-                    repo_type="model",
-                )
+                snapshot_kwargs = {
+                    "repo_id": TRANSCRIBE_MODEL_ID,
+                    "local_files_only": False,
+                    "repo_type": "model",
+                }
+                sig = inspect.signature(snapshot_download)
+                if "token" in sig.parameters:
+                    snapshot_kwargs["token"] = HF_TOKEN or None
+                elif "use_auth_token" in sig.parameters:
+                    snapshot_kwargs["use_auth_token"] = HF_TOKEN or None
+
+                snapshot_download(**snapshot_kwargs)
                 logger.info("Moonshine ASR cache download completed.")
             except Exception as exc:
                 logger.error(
@@ -400,25 +407,12 @@ class Transcriber:
             )
             return ""
 
-        # Quick host resolution check: avoid repeated DNS failures
         endpoint = "https://api-inference.huggingface.co/models/openai/whisper-small"
-        hf_host = "api-inference.huggingface.co"
 
         if self._remote_ok is False:
-            logger.debug("Remote HF host previously unreachable; skipping remote transcription.")
+            logger.debug("Remote HF has previously failed; skipping remote transcription.")
             return ""
 
-        if self._remote_ok is None:
-            try:
-                socket.getaddrinfo(hf_host, 443)
-                self._remote_ok = True
-            except Exception:
-                logger.warning(
-                    "Cannot resolve Hugging Face inference host; disabling remote transcription until next restart."
-                )
-                self._remote_ok = False
-                return ""
-
         try:
             headers = {
                 "Authorization": f"Bearer {HF_TOKEN}",

requirements-spaces.txt

@@ -9,5 +9,12 @@ huggingface_hub
 soundfile
 requests
 
+# Local ASR and VAD dependencies for deployed Spaces
+torch>=2.4.0
+transformers>=4.56,<5.3,!=5.0.*,!=5.1.*
+# Optional: silero VAD and ONNX for real-time speech boundary detection
+silero-vad
+onnxruntime>=1.16.0
+
 # Optional utilities
 # Keep the core app lightweight and use fallback or remote inference when needed.