Update to pyannote.audio 3.1 exact version

- Simplify requirements.txt to only essential packages
- Use pyannote.audio==3.1 as per official docs
- Fix auth token parameter to use_auth_token
- Force space restart

RESTART_TRIGGER.md

@@ -2,8 +2,8 @@
 
 Este arquivo força o restart do space quando modificado.
 
-**Última modificação:** 2025-05-31 17:31:00 UTC  
-**Motivo:** Fixed GPU decorator, Gradio version, and launch parameters  
+**Última modificação:** 2025-05-31 17:45:00 UTC  
+**Motivo:** Updated to pyannote.audio 3.1 exact version and fixed auth token parameter  
 **Status:** Triggering full redeploy  
 
 ## Configurações Necessárias Após Restart:

app.py

@@ -34,15 +34,10 @@ class PyannoteService:
                 logger.warning("Token do HuggingFace não encontrado")
                 
             # Carregar pipeline de diarization
-            if hf_token:
-                self.pipeline = Pipeline.from_pretrained(
-                    "pyannote/speaker-diarization-3.1",
-                    token=hf_token
-                )
-            else:
-                self.pipeline = Pipeline.from_pretrained(
-                    "pyannote/speaker-diarization-3.1"
-                )
+            self.pipeline = Pipeline.from_pretrained(
+                "pyannote/speaker-diarization-3.1",
+                use_auth_token=hf_token
+            )
             
             # Configurar device
             device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

requirements.txt

@@ -1,17 +1,3 @@
 gradio==4.31.5
 spaces
-torch>=2.0.0,<2.3.0
-torchaudio>=2.0.0,<2.3.0
-pyannote.audio==3.1.1
-pyannote.database==5.0.1
-speechbrain>=0.5.0,<1.0.0
-huggingface_hub>=0.16.0
-transformers>=4.30.0,<5.0.0
-accelerate>=0.20.0,<1.0.0
-librosa>=0.10.0,<1.0.0
-soundfile>=0.12.0,<1.0.0
-numpy>=1.24.0,<2.0.0
-scipy>=1.11.0,<2.0.0
-pandas>=2.0.0,<3.0.0
-matplotlib>=3.7.0,<4.0.0
-protobuf>=3.20.0,<5.0.0 
+pyannote.audio==3.1