Update app.py

app.py

@@ -32,7 +32,7 @@ def predict(text, speaker):
     if Interest == "":
         inputs = processor(text=getNews(Interest), 
                            return_tensors="pt")
-    else
+    else:
         inputs = processor(text=getNews(text), 
                            return_tensors="pt")
 
@@ -41,7 +41,6 @@ def predict(text, speaker):
     input_ids = input_ids[..., :model.config.max_text_positions]
     
     speaker_embedding = np.load("spkemb/cmu_us_bdl_arctic-wav-arctic_a0009.npy")
-
     speaker_embedding = torch.tensor(speaker_embedding).unsqueeze(0)
 
     speech = model.generate_speech(input_ids, speaker_embedding, vocoder=vocoder)