Update app.py

app.py

@@ -52,7 +52,7 @@ def predict(text, speaker):
     #speaker_embedding = torch.tensor(speaker_embedding).unsqueeze(0)
     speaker_embedding = torch.tensor(speaker_embedding) #the saved model is already unsqueezed, but is not a tensor, so make it one
   #  speech = model.generate_speech(input_ids, speaker_embedding, vocoder=vocoder)
-    speech = model.generate_speech(input_ids["input_ids"], speaker_embedding, vocoder=vocoder)
+    speech = model.generate_speech(inputs["input_ids"], speaker_embedding, vocoder=vocoder)
 
     speech = (speech.numpy() * 32767).astype(np.int16)
     return (16000, speech)