Remove unused kwarg and added num_beams=1 as default

TTS/tts/layers/xtts/gpt.py

@@ -562,7 +562,7 @@ class GPT(nn.Module):
 
     def inference(self, cond_latents, text_inputs, **hf_generate_kwargs):
         self.compute_embeddings(cond_latents, text_inputs)
-        return self.generate(cond_latents, text_inputs, input_tokens=None, **hf_generate_kwargs)
+        return self.generate(cond_latents, text_inputs, **hf_generate_kwargs)
 
     def compute_embeddings(
         self,

TTS/tts/models/xtts.py

@@ -642,6 +642,7 @@ class Xtts(BaseTTS):
         diffusion_temperature=1.0,
         decoder_sampler="ddim",
         decoder="hifigan",
+        num_beams=1,
         **hf_generate_kwargs,
     ):
         text = text.strip().lower()
@@ -673,6 +674,7 @@ class Xtts(BaseTTS):
                 top_k=top_k,
                 temperature=temperature,
                 num_return_sequences=self.gpt_batch_size,
+                num_beams=num_beams,
                 length_penalty=length_penalty,
                 repetition_penalty=repetition_penalty,
                 output_attentions=False,