Update app.py

app.py

@@ -69,7 +69,7 @@ def predict(text, speaker):
     # limit input length
     input_ids = inputs["input_ids"]
     input_ids = input_ids[..., :model.config.max_text_positions]
-    speaker_embedding = np.load(speaker_embeddings[speaker], allow_pickle=True)
+    speaker_embedding = np.load(speaker_embeddings[speaker])
     speaker_embedding = torch.tensor(speaker_embedding)
     speech = model.generate_speech(input_ids.to('cuda'), speaker_embedding.to('cuda'), vocoder=vocoder.to('cuda'))
     speech = nr.reduce_noise(y=speech.to('cpu'), sr=16000)