refactor(stream_generator): update special tokens for transformers>=4.41.1

Fixes #31. The handling of special tokens in `transformers` was changed in
https://github.com/huggingface/transformers/pull/30624 and
https://github.com/huggingface/transformers/pull/30746. This updates the XTTS
streaming code accordingly.

TTS/tts/layers/xtts/stream_generator.py

@@ -151,18 +151,7 @@ class NewGenerationMixin(GenerationMixin):
         # 2. Set generation parameters if not already defined
         logits_processor = logits_processor if logits_processor is not None else LogitsProcessorList()
         stopping_criteria = stopping_criteria if stopping_criteria is not None else StoppingCriteriaList()
-
-        if generation_config.pad_token_id is None and generation_config.eos_token_id is not None:
-            if model_kwargs.get("attention_mask", None) is None:
-                logger.warning(
-                    "The attention mask and the pad token id were not set. As a consequence, you may observe "
-                    "unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results."
-                )
-            eos_token_id = generation_config.eos_token_id
-            if isinstance(eos_token_id, list):
-                eos_token_id = eos_token_id[0]
-            logger.warning(f"Setting `pad_token_id` to `eos_token_id`:{eos_token_id} for open-end generation.")
-            generation_config.pad_token_id = eos_token_id
+        kwargs_has_attention_mask = model_kwargs.get("attention_mask", None) is not None
 
         # 3. Define model inputs
         # inputs_tensor has to be defined
@@ -174,6 +163,9 @@ class NewGenerationMixin(GenerationMixin):
         )
         batch_size = inputs_tensor.shape[0]
 
+        device = inputs_tensor.device
+        self._prepare_special_tokens(generation_config, kwargs_has_attention_mask, device=device)
+
         # 4. Define other model kwargs
         model_kwargs["output_attentions"] = generation_config.output_attentions
         model_kwargs["output_hidden_states"] = generation_config.output_hidden_states
@@ -182,7 +174,7 @@ class NewGenerationMixin(GenerationMixin):
         accepts_attention_mask = "attention_mask" in set(inspect.signature(self.forward).parameters.keys())
         requires_attention_mask = "encoder_outputs" not in model_kwargs
 
-        if model_kwargs.get("attention_mask", None) is None and requires_attention_mask and accepts_attention_mask:
+        if not kwargs_has_attention_mask and requires_attention_mask and accepts_attention_mask:
             model_kwargs["attention_mask"] = self._prepare_attention_mask_for_generation(
                 inputs_tensor,
                 generation_config.pad_token_id,

pyproject.toml

@@ -69,7 +69,7 @@ dependencies = [
     "gruut[de,es,fr]==2.2.3",
     # Tortoise
     "einops>=0.6.0",
-    "transformers>=4.33.0,<4.41.0",
+    "transformers>=4.41.1",
     # Bark
     "encodec>=0.1.1",
     # XTTS