maj fonction synthesise()

app.py

@@ -102,12 +102,16 @@ speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze
 
 def synthesise(text):
     input_ids = processor(text=text, return_tensors="pt")["input_ids"]
-    speech = model.generate_speech(
-        input_ids.to(device),
-        speaker_embeddings.to(device),
-        vocoder=vocoder
-    )
-    return speech.cpu()
+    try:
+        speech = model.generate_speech(
+            input_ids.to(device),
+            speaker_embeddings.to(device),
+            vocoder=vocoder
+        )
+        return speech.cpu()
+    except Exception as e:
+        print(f"Erreur lors de la synthèse vocale : {e}")
+        return None
 
 # launch_fn(debug=True)
 # transcription = transcribe()