Update app.py

app.py

@@ -10,6 +10,9 @@ from pyannote.audio import Pipeline
 
 # --- Configuration & Tokens ---
 # OPTION 1: Set this as a 'Secret' in Hugging Face Space Settings (Recommended)
+# OPTION 2: Paste your token between the quotes below to hardcode it permanently
+HARDCODED_HF_TOKEN = "PASTE_YOUR_HF_TOKEN_HERE"
+HARDCODED_GEMINI_KEY = ""
 
 # Logic to determine which keys to use
 ENV_HF_TOKEN = os.environ.get("HF_TOKEN", "")
@@ -112,10 +115,22 @@ if uploaded_file:
                     
                     # 1. Diarization
                     try:
-                        pipeline = Pipeline.from_pretrained(
-                            "pyannote/speaker-diarization@2.1", 
-                            use_auth_token=active_hf_token
-                        )
+                        # Fix for pyannote.audio 3.0+: 'use_auth_token' is now just 'token'
+                        try:
+                            pipeline = Pipeline.from_pretrained(
+                                "pyannote/speaker-diarization@2.1", 
+                                token=active_hf_token
+                            )
+                        except TypeError:
+                            # Fallback for older versions of pyannote.audio
+                            pipeline = Pipeline.from_pretrained(
+                                "pyannote/speaker-diarization@2.1", 
+                                use_auth_token=active_hf_token
+                            )
+                            
+                        if torch.cuda.is_available():
+                            pipeline.to(torch.device("cuda"))
+                            
                         diarization = pipeline("audio_optimized.m4a")
                     except Exception as e:
                         st.error(f"Diarization Error: {e}")