Update app.py

app.py

@@ -38,10 +38,8 @@ def predict(text, preset):
     input_ids = inputs["input_ids"]
     input_ids = input_ids[..., :model.config.max_text_positions]
 
-    speaker_embedding = np.load("spkemb/cmu_us_bdl_arctic-wav-arctic_a0009.npy")
-   
+    speaker_embedding = np.load('/Users/gshen26/assistivetech/speecht5-tts-demo_newsapi__gabriel/spkemb/cmu_us_awb_arctic-wav-arctic_a0002.npy', allow_pickle=True)
     speaker_embedding = torch.tensor(speaker_embedding).unsqueeze(0)
-
     speech = model.generate_speech(input_ids, speaker_embedding, vocoder=vocoder)
 
     speech = (speech.numpy() * 32767).astype(np.int16)