Delete configuration_spark_tts.py

configuration_spark_tts.py

@@ -1,87 +0,0 @@
-# Copyright (c) 2025 SparkAudio & The HuggingFace Inc. team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" SparkTTS model configuration"""
-
-from transformers.configuration_utils import PretrainedConfig
-from transformers.utils import logging
-
-
-logger = logging.get_logger(__name__)
-
-class SparkTTSConfig(PretrainedConfig):
-    """
-    This is the configuration class to store the configuration of a [`SparkTTSModel`].
-    It is used to instantiate a SparkTTS model according to the specified arguments, defining the model
-    architecture and sub-component paths.
-
-    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs.
-    Read the documentation from [`PretrainedConfig`] for more information.
-
-    Args:
-        llm_model_name_or_path (`str`, *optional*, defaults to `"./LLM"`):
-            Path to the pretrained LLM model or model identifier from huggingface.co/models.
-        bicodec_model_name_or_path (`str`, *optional*, defaults to `"./BiCodec"`):
-            Path to the pretrained BiCodec model directory.
-        wav2vec2_model_name_or_path (`str`, *optional*, defaults to `"./wav2vec2-large-xlsr-53"`):
-            Path to the pretrained Wav2Vec2 model directory.
-        sample_rate (`int`, *optional*, defaults to 16000):
-            The sampling rate of the audio files.
-        highpass_cutoff_freq (`int`, *optional*, defaults to 40):
-             Highpass filter cutoff frequency for audio processing.
-        latent_hop_length (`int`, *optional*, defaults to 320):
-             Hop length used in BiCodec processing.
-        ref_segment_duration (`float`, *optional*, defaults to 6.0):
-            Duration (in seconds) of the reference audio clip used for speaker embedding.
-        volume_normalize (`bool`, *optional*, defaults to `True`):
-            Whether to normalize the volume of audio inputs.
-        bicodec_config (`dict`, *optional*):
-             A dictionary containing the configuration for the BiCodec model components (encoder, decoder, etc.).
-             This is typically loaded from the `BiCodec/config.yaml` originally.
-        **kwargs
-            Additional keyword arguments passed along to [`PretrainedConfig`].
-    """
-
-    model_type = "spark-tts"
-    processor_class = "SparkTTSProcessor"
-    config_files = ["config.json"]
-    attribute_map = {} # Add mappings if needed for renaming attributes
-
-    def __init__(
-        self,
-        llm_model_name_or_path="./LLM",
-        bicodec_model_name_or_path="./BiCodec",
-        wav2vec2_model_name_or_path="./wav2vec2-large-xlsr-53",
-        sample_rate=16000,
-        highpass_cutoff_freq=40,
-        latent_hop_length=320,
-        ref_segment_duration=6.0,
-        volume_normalize=True,
-        bicodec_config=None,
-        **kwargs,
-    ):
-        self.llm_model_name_or_path = llm_model_name_or_path
-        self.bicodec_model_name_or_path = bicodec_model_name_or_path
-        self.wav2vec2_model_name_or_path = wav2vec2_model_name_or_path
-        self.sample_rate = sample_rate
-        self.highpass_cutoff_freq = highpass_cutoff_freq
-        self.latent_hop_length = latent_hop_length
-        self.ref_segment_duration = ref_segment_duration
-        self.volume_normalize = volume_normalize
-        self.bicodec_config = bicodec_config if bicodec_config is not None else {}
-
-        # REMOVE THIS WARNING - the check in SparkTTSModel is better
-        # if not self.bicodec_config:
-        #     logger.warning("BiCodec config is empty. BiCodec model might not load correctly.")
-
-        super().__init__(**kwargs)