Update app.py

app.py

@@ -26,7 +26,7 @@ def text2speech(model, text):
         speechclassifier  = pipeline("text-to-speech", model=model)
         embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
         speaker_embedding = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
-        output = speechclassifier(text, forward_params={"speaker_embeddings": speaker_embedding})
+        output = speechclassifier(text)
         print(output, type(output) )
         return output