Update README.md

README.md

@@ -32,7 +32,7 @@ import soundfile as sf
 synthesiser = pipeline("text-to-speech", "MBZUAI/speecht5_tts_clartts_ar")
 
 embeddings_dataset = load_dataset("herwoww/arabic_xvect_embeddings", split="validation")
-speaker_embedding = torch.tensor(embeddings_dataset[1]["speaker_embeddings"]).unsqueeze(0)
+speaker_embedding = torch.tensor(embeddings_dataset[105]["speaker_embeddings"]).unsqueeze(0)
 # You can replace this embedding with your own as well.
 
 speech = synthesiser("لأنه لا يرى أنه على السفه ثم من بعد ذلك حديث منتشر", forward_params={"speaker_embeddings": speaker_embedding})
@@ -57,7 +57,7 @@ inputs = processor(text="لأنه لا يرى أنه على السفه ثم من
 
 # load xvector containing speaker's voice characteristics from a dataset
 embeddings_dataset = load_dataset("herwoww/arabic_xvect_embeddings", split="validation")
-speaker_embedding = torch.tensor(embeddings_dataset[1]["speaker_embeddings"]).unsqueeze(0)
+speaker_embedding = torch.tensor(embeddings_dataset[105]["speaker_embeddings"]).unsqueeze(0)
 
 speech = model.generate_speech(inputs["input_ids"], speaker_embeddings, vocoder=vocoder)