diff --git a/AR/__pycache__/__init__.cpython-310.pyc b/AR/__pycache__/__init__.cpython-310.pyc
index 2ca8480433c60d96711820a83fa5eaf79676586a..2d135bce483a89f2ad87f6139a129b19110d5a0d 100644
Binary files a/AR/__pycache__/__init__.cpython-310.pyc and b/AR/__pycache__/__init__.cpython-310.pyc differ
diff --git a/AR/data/bucket_sampler.py b/AR/data/bucket_sampler.py
index 647491f7d71ec697a3fa492163c3c5e1a145025f..45f91d8eb4eaee7867fee29e89971b843fa23f38 100644
--- a/AR/data/bucket_sampler.py
+++ b/AR/data/bucket_sampler.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/bucketsampler.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/data/bucket_sampler.py
+# reference: https://github.com/lifeiteng/vall-e
 import itertools
 import math
 import random
diff --git a/AR/data/data_module.py b/AR/data/data_module.py
index 037484a9b49145b04fdb3a0b9664013913df606b..cb947959b3f2fdb0951e6a6383399a9fb3826536 100644
--- a/AR/data/data_module.py
+++ b/AR/data/data_module.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/data_module.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/data/data_module.py
+# reference: https://github.com/lifeiteng/vall-e
 from pytorch_lightning import LightningDataModule
 from AR.data.bucket_sampler import DistributedBucketSampler
 from AR.data.dataset import Text2SemanticDataset
@@ -41,7 +42,8 @@ class Text2SemanticDataModule(LightningDataModule):
         #     pad_val=self.config['data']['pad_val'])
 
     def train_dataloader(self):
-        batch_size = max(min(self.config["train"]["batch_size"],len(self._train_dataset)//4),1)#防止不保存
+        batch_size=self.config["train"]["batch_size"]//2 if self.config["train"].get("if_dpo",False)==True else self.config["train"]["batch_size"]
+        batch_size = max(min(batch_size,len(self._train_dataset)//4),1)#防止不保存
         sampler = DistributedBucketSampler(self._train_dataset, batch_size=batch_size)
         return DataLoader(
             self._train_dataset,
diff --git a/AR/data/dataset.py b/AR/data/dataset.py
index b1ea69e600414f71c9d208b4bea5a8b3e467f8bb..1a2ffef17cafa906cbc65c1c610b5bc8f5f6c3da 100644
--- a/AR/data/dataset.py
+++ b/AR/data/dataset.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/t2s_dataset.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/data/dataset.py
+# reference: https://github.com/lifeiteng/vall-e
 import pdb
 import sys
 
diff --git a/AR/models/__pycache__/__init__.cpython-310.pyc b/AR/models/__pycache__/__init__.cpython-310.pyc
index 92223f8cb3b9880b3c7635bb5252fec526fa5109..4e51e4de71e308f0192fd41b22642493a455a0f5 100644
Binary files a/AR/models/__pycache__/__init__.cpython-310.pyc and b/AR/models/__pycache__/__init__.cpython-310.pyc differ
diff --git a/AR/models/__pycache__/t2s_lightning_module.cpython-310.pyc b/AR/models/__pycache__/t2s_lightning_module.cpython-310.pyc
index dd7bf39204fa36dcd4833d4ff071f582724e5ef2..e36415d14eb568d2365781887d29780727b99160 100644
Binary files a/AR/models/__pycache__/t2s_lightning_module.cpython-310.pyc and b/AR/models/__pycache__/t2s_lightning_module.cpython-310.pyc differ
diff --git a/AR/models/__pycache__/t2s_model.cpython-310.pyc b/AR/models/__pycache__/t2s_model.cpython-310.pyc
index ff8241d16f85e578c38f3d110545a10293b5ae7b..671fcb278f953839bea57e0716a7d5511e0ef507 100644
Binary files a/AR/models/__pycache__/t2s_model.cpython-310.pyc and b/AR/models/__pycache__/t2s_model.cpython-310.pyc differ
diff --git a/AR/models/__pycache__/utils.cpython-310.pyc b/AR/models/__pycache__/utils.cpython-310.pyc
index 0541c7c3f1e27855800a33b024184d43da6ef71a..a21e8d468240a2bf7d19389c9122b8a538468bbb 100644
Binary files a/AR/models/__pycache__/utils.cpython-310.pyc and b/AR/models/__pycache__/utils.cpython-310.pyc differ
diff --git a/AR/models/t2s_lightning_module.py b/AR/models/t2s_lightning_module.py
index f9dfc648e06e05ba04a45069525e13381e0bd1f1..2dd3f392893f1ea08a6e848f2ff2d9be1a425f15 100644
--- a/AR/models/t2s_lightning_module.py
+++ b/AR/models/t2s_lightning_module.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/t2s_lightning_module.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_lightning_module.py
+# reference: https://github.com/lifeiteng/vall-e
 import os, sys
 
 now_dir = os.getcwd()
@@ -11,7 +12,6 @@ from AR.models.t2s_model import Text2SemanticDecoder
 from AR.modules.lr_schedulers import WarmupCosineLRSchedule
 from AR.modules.optim import ScaledAdam
 
-
 class Text2SemanticLightningModule(LightningModule):
     def __init__(self, config, output_dir, is_train=True):
         super().__init__()
@@ -35,7 +35,8 @@ class Text2SemanticLightningModule(LightningModule):
     def training_step(self, batch: Dict, batch_idx: int):
         opt = self.optimizers()
         scheduler = self.lr_schedulers()
-        loss, acc = self.model.forward(
+        forward=self.model.forward if self.config["train"].get("if_dpo",False)==True else self.model.forward_old
+        loss, acc = forward(
             batch["phoneme_ids"],
             batch["phoneme_ids_len"],
             batch["semantic_ids"],
diff --git a/AR/models/t2s_lightning_module_onnx.py b/AR/models/t2s_lightning_module_onnx.py
index bb9e30b9f914d86256bf98a28c8f2e3b37012762..487edb015203ebd70f9f6d3475ef892e28c57927 100644
--- a/AR/models/t2s_lightning_module_onnx.py
+++ b/AR/models/t2s_lightning_module_onnx.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/t2s_lightning_module.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_lightning_module.py
+# reference: https://github.com/lifeiteng/vall-e
 import os, sys
 
 now_dir = os.getcwd()
diff --git a/AR/models/t2s_model.py b/AR/models/t2s_model.py
index 083dc0998e227d08beeb347b552964b3f2969671..c8ad3d8252f08732ffeadbe244dc9dba5fd26f06 100644
--- a/AR/models/t2s_model.py
+++ b/AR/models/t2s_model.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/t2s_model.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_model.py
+# reference: https://github.com/lifeiteng/vall-e
 import torch
 from tqdm import tqdm
 
@@ -8,6 +9,9 @@ from AR.models.utils import (
     sample,
     logits_to_probs,
     multinomial_sample_one_no_sync,
+    dpo_loss,
+    make_reject_y, 
+    get_batch_logps
 )
 from AR.modules.embedding import SinePositionalEmbedding
 from AR.modules.embedding import TokenEmbedding
@@ -85,11 +89,104 @@ class Text2SemanticDecoder(nn.Module):
             ignore_index=self.EOS,
         )
 
+    def make_input_data(self, x, x_lens, y, y_lens, bert_feature):
+        x = self.ar_text_embedding(x)
+        x = x + self.bert_proj(bert_feature.transpose(1, 2))
+        x = self.ar_text_position(x)
+        x_mask = make_pad_mask(x_lens)
+
+        y_mask = make_pad_mask(y_lens)
+        y_mask_int = y_mask.type(torch.int64)
+        codes = y.type(torch.int64) * (1 - y_mask_int)
+
+        # Training
+        # AR Decoder
+        y, targets = self.pad_y_eos(codes, y_mask_int, eos_id=self.EOS)
+        x_len = x_lens.max()
+        y_len = y_lens.max()
+        y_emb = self.ar_audio_embedding(y)
+        y_pos = self.ar_audio_position(y_emb)
+
+        xy_padding_mask = torch.concat([x_mask, y_mask], dim=1)
+
+        ar_xy_padding_mask = xy_padding_mask
+
+        x_attn_mask = F.pad(
+            torch.zeros((x_len, x_len), dtype=torch.bool, device=x.device),
+            (0, y_len),
+            value=True,
+        )
+        
+        y_attn_mask = F.pad(
+            torch.triu(
+                torch.ones(y_len, y_len, dtype=torch.bool, device=x.device),
+                diagonal=1,
+            ),
+            (x_len, 0),
+            value=False,
+        )
+
+        xy_attn_mask = torch.concat([x_attn_mask, y_attn_mask], dim=0)
+        bsz, src_len = x.shape[0], x_len + y_len
+        _xy_padding_mask = (
+            ar_xy_padding_mask.view(bsz, 1, 1, src_len)
+            .expand(-1, self.num_head, -1, -1)
+            .reshape(bsz * self.num_head, 1, src_len)
+        )
+        xy_attn_mask = xy_attn_mask.logical_or(_xy_padding_mask)
+        new_attn_mask = torch.zeros_like(xy_attn_mask, dtype=x.dtype)
+        new_attn_mask.masked_fill_(xy_attn_mask, float("-inf"))
+        xy_attn_mask = new_attn_mask
+        # x 和完整的 y 一次性输入模型
+        xy_pos = torch.concat([x, y_pos], dim=1)
+
+        return xy_pos, xy_attn_mask, targets
+
     def forward(self, x, x_lens, y, y_lens, bert_feature):
         """
         x: phoneme_ids
         y: semantic_ids
         """
+
+        reject_y, reject_y_lens = make_reject_y(y, y_lens)
+
+        xy_pos, xy_attn_mask, targets = self.make_input_data(x, x_lens, y, y_lens, bert_feature)
+
+        xy_dec, _ = self.h(
+            (xy_pos, None),
+            mask=xy_attn_mask,
+        )
+        x_len = x_lens.max()
+        logits = self.ar_predict_layer(xy_dec[:, x_len:])
+
+        ###### DPO #############
+        reject_xy_pos, reject_xy_attn_mask, reject_targets = self.make_input_data(x, x_lens, reject_y, reject_y_lens, bert_feature)
+
+        reject_xy_dec, _ = self.h(
+            (reject_xy_pos, None),
+            mask=reject_xy_attn_mask,
+        )
+        x_len = x_lens.max()
+        reject_logits = self.ar_predict_layer(reject_xy_dec[:, x_len:])
+
+        # loss
+        # from feiteng: 每次 duration 越多, 梯度更新也应该更多, 所以用 sum
+
+        loss_1 = F.cross_entropy(logits.permute(0, 2, 1), targets, reduction="sum")
+        acc = self.ar_accuracy_metric(logits.permute(0, 2, 1).detach(), targets).item()
+
+        A_logits, R_logits = get_batch_logps(logits, reject_logits, targets, reject_targets)
+        loss_2, _, _ = dpo_loss(A_logits, R_logits, 0, 0, 0.2, reference_free=True)
+        
+        loss = loss_1 + loss_2
+
+        return loss, acc
+
+    def forward_old(self, x, x_lens, y, y_lens, bert_feature):
+        """
+        x: phoneme_ids
+        y: semantic_ids
+        """
         x = self.ar_text_embedding(x)
         x = x + self.bert_proj(bert_feature.transpose(1, 2))
         x = self.ar_text_position(x)
@@ -231,6 +328,7 @@ class Text2SemanticDecoder(nn.Module):
         prompts,  ####参考音频token
         bert_feature,
         top_k: int = -100,
+        top_p: int = 100,
         early_stop_num: int = -1,
         temperature: float = 1.0,
     ):
@@ -240,7 +338,7 @@ class Text2SemanticDecoder(nn.Module):
 
         # AR Decoder
         y = prompts
-        prefix_len = y.shape[1]
+        
         x_len = x.shape[1]
         x_attn_mask = torch.zeros((x_len, x_len), dtype=torch.bool)
         stop = False
@@ -256,47 +354,41 @@ class Text2SemanticDecoder(nn.Module):
             "first_infer": 1,
             "stage": 0,
         }
-        for idx in tqdm(range(1500)):
-            if cache["first_infer"] == 1:
-                y_emb = self.ar_audio_embedding(y)
-            else:
-                y_emb = torch.cat(
-                    [cache["y_emb"], self.ar_audio_embedding(y[:, -1:])], 1
-                )
-            cache["y_emb"] = y_emb
+        ###################  first step ##########################
+        if y is not None:
+            y_emb = self.ar_audio_embedding(y)
+            y_len = y_emb.shape[1]
+            prefix_len = y.shape[1]
             y_pos = self.ar_audio_position(y_emb)
-            # x 和逐渐增长的 y 一起输入给模型
-            if cache["first_infer"] == 1:
-                xy_pos = torch.concat([x, y_pos], dim=1)
-            else:
-                xy_pos = y_pos[:, -1:]
-            y_len = y_pos.shape[1]
-            ###以下3个不做缓存
-            if cache["first_infer"] == 1:
-                x_attn_mask_pad = F.pad(
+            xy_pos = torch.concat([x, y_pos], dim=1)
+            cache["y_emb"] = y_emb
+            ref_free = False
+        else:
+            y_emb = None
+            y_len = 0
+            prefix_len = 0
+            y_pos = None
+            xy_pos = x
+            y = torch.zeros(x.shape[0], 0, dtype=torch.int, device=x.device)
+            ref_free = True
+
+        x_attn_mask_pad = F.pad(
                     x_attn_mask,
                     (0, y_len),  ###xx的纯0扩展到xx纯0+xy纯1，(x,x+y)
                     value=True,
                 )
-                y_attn_mask = F.pad(  ###yy的右上1扩展到左边xy的0,(y,x+y)
-                    torch.triu(torch.ones(y_len, y_len, dtype=torch.bool), diagonal=1),
-                    (x_len, 0),
-                    value=False,
-                )
-                xy_attn_mask = torch.concat([x_attn_mask_pad, y_attn_mask], dim=0).to(
-                    y.device
-                )
-            else:
-                ###最右边一列（是错的）
-                # xy_attn_mask=torch.ones((1, x_len+y_len), dtype=torch.bool,device=xy_pos.device)
-                # xy_attn_mask[:,-1]=False
-                ###最下面一行（是对的）
-                xy_attn_mask = torch.zeros(
-                    (1, x_len + y_len), dtype=torch.bool, device=xy_pos.device
-                )
-            # pdb.set_trace()
-            ###缓存重头戏
-            # print(1111,xy_pos.shape,xy_attn_mask.shape,x_len,y_len)
+        y_attn_mask = F.pad(  ###yy的右上1扩展到左边xy的0,(y,x+y)
+            torch.triu(torch.ones(y_len, y_len, dtype=torch.bool), diagonal=1),
+            (x_len, 0),
+            value=False,
+        )
+        xy_attn_mask = torch.concat([x_attn_mask_pad, y_attn_mask], dim=0).to(
+            x.device
+        )
+        
+
+        for idx in tqdm(range(1500)):
+            
             xy_dec, _ = self.h((xy_pos, None), mask=xy_attn_mask, cache=cache)
             logits = self.ar_predict_layer(
                 xy_dec[:, -1]
@@ -305,8 +397,12 @@ class Text2SemanticDecoder(nn.Module):
             if(idx==0):###第一次跑不能EOS否则没有了
                 logits = logits[:, :-1]  ###刨除1024终止符号的概率
             samples = sample(
-                logits[0], y, top_k=top_k, top_p=1.0, repetition_penalty=1.35
+                logits[0], y, top_k=top_k, top_p=top_p, repetition_penalty=1.35, temperature=temperature
             )[0].unsqueeze(0)
+            # 本次生成的 semantic_ids 和之前的 y 构成新的 y
+            # print(samples.shape)#[1,1]#第一个1是bs
+            y = torch.concat([y, samples], dim=1) 
+
             if early_stop_num != -1 and (y.shape[1] - prefix_len) > early_stop_num:
                 print("use early stop num:", early_stop_num)
                 stop = True
@@ -315,13 +411,38 @@ class Text2SemanticDecoder(nn.Module):
                 # print(torch.argmax(logits, dim=-1)[0] == self.EOS, samples[0, 0] == self.EOS)
                 stop = True
             if stop:
-                if prompts.shape[1] == y.shape[1]:
+                # if prompts.shape[1] == y.shape[1]:
+                #     y = torch.concat([y, torch.zeros_like(samples)], dim=1)
+                #     print("bad zero prediction")
+                if y.shape[1]==0:
                     y = torch.concat([y, torch.zeros_like(samples)], dim=1)
                     print("bad zero prediction")
                 print(f"T2S Decoding EOS [{prefix_len} -> {y.shape[1]}]")
                 break
-            # 本次生成的 semantic_ids 和之前的 y 构成新的 y
-            # print(samples.shape)#[1,1]#第一个1是bs
-            y = torch.concat([y, samples], dim=1)
+            
+            ####################### update next step ###################################
             cache["first_infer"] = 0
-        return y, idx
+            if cache["y_emb"] is not None:
+                y_emb = torch.cat(
+                    [cache["y_emb"], self.ar_audio_embedding(y[:, -1:])], dim = 1
+                )
+                cache["y_emb"] = y_emb
+                y_pos = self.ar_audio_position(y_emb)
+                xy_pos = y_pos[:, -1:]
+            else:
+                y_emb = self.ar_audio_embedding(y[:, -1:])
+                cache["y_emb"] = y_emb
+                y_pos = self.ar_audio_position(y_emb)
+                xy_pos = y_pos
+            y_len = y_pos.shape[1]
+
+            ###最右边一列（是错的）
+            # xy_attn_mask=torch.ones((1, x_len+y_len), dtype=torch.bool,device=xy_pos.device)
+            # xy_attn_mask[:,-1]=False
+            ###最下面一行（是对的）
+            xy_attn_mask = torch.zeros(
+                (1, x_len + y_len), dtype=torch.bool, device=xy_pos.device
+            )
+        if ref_free:
+            return y[:, :-1], 0
+        return y[:, :-1], idx-1
diff --git a/AR/models/t2s_model_onnx.py b/AR/models/t2s_model_onnx.py
index 92f2d745af3a9a2eba012d59e45ae6d2af19c5d8..7834297d5561c87021c946cbe0671424b4a3466f 100644
--- a/AR/models/t2s_model_onnx.py
+++ b/AR/models/t2s_model_onnx.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/t2s_model.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_model.py
+# reference: https://github.com/lifeiteng/vall-e
 import torch
 from tqdm import tqdm
 
diff --git a/AR/models/utils.py b/AR/models/utils.py
index 25fe44636d9126030b34c734a4bd5d0205c98e58..9678c7e13d81a6e885187c86d9d11e49cf707957 100644
--- a/AR/models/utils.py
+++ b/AR/models/utils.py
@@ -1,7 +1,8 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/utils.py\
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/utils.py
+# reference: https://github.com/lifeiteng/vall-e
 import torch
 import torch.nn.functional as F
-
+from typing import Tuple
 
 def sequence_mask(length, max_length=None):
     if max_length is None:
@@ -114,7 +115,8 @@ def logits_to_probs(
     top_p: Optional[int] = None,
     repetition_penalty: float = 1.0,
 ):
-    previous_tokens = previous_tokens.squeeze()
+    if previous_tokens is not None:
+        previous_tokens = previous_tokens.squeeze()
     # print(logits.shape,previous_tokens.shape)
     # pdb.set_trace()
     if previous_tokens is not None and repetition_penalty != 1.0:
@@ -158,3 +160,70 @@ def sample(
     )
     idx_next = multinomial_sample_one_no_sync(probs)
     return idx_next, probs
+
+def dpo_loss(policy_chosen_logps: torch.FloatTensor,
+             policy_rejected_logps: torch.FloatTensor,
+             reference_chosen_logps: torch.FloatTensor,
+             reference_rejected_logps: torch.FloatTensor,
+             beta: float,
+             reference_free: bool = False) -> Tuple[torch.FloatTensor, torch.FloatTensor, torch.FloatTensor]:
+    pi_logratios = policy_chosen_logps - policy_rejected_logps
+    ref_logratios = reference_chosen_logps - reference_rejected_logps
+
+    if reference_free:
+        ref_logratios = 0
+
+    logits = pi_logratios - ref_logratios
+
+    losses = -F.logsigmoid(beta * logits)
+    chosen_rewards = beta * (policy_chosen_logps - reference_chosen_logps).detach()
+    rejected_rewards = beta * (policy_rejected_logps - reference_rejected_logps).detach()
+
+    return losses.mean(), chosen_rewards, rejected_rewards
+
+def get_batch_logps(logits_target: torch.FloatTensor, logits_reject: torch.FloatTensor, labels_target: torch.LongTensor, labels_reject: torch.LongTensor, average_log_prob: bool = False) -> Tuple[torch.FloatTensor, torch.FloatTensor]:
+
+    # dummy token; we'll ignore the losses on these tokens later
+
+    per_token_logps_target = torch.gather(logits_target.log_softmax(-1), dim=2, index=labels_target.unsqueeze(2)).squeeze(2)
+    per_token_logps_reject = torch.gather(logits_reject.log_softmax(-1), dim=2, index=labels_reject.unsqueeze(2)).squeeze(2)
+
+    return per_token_logps_target.sum(-1), per_token_logps_reject.sum(-1)
+
+def make_reject_y(y_o, y_lens):
+    def repeat_P(y):
+        range_idx, _ = torch.randint(0, len(y), size=(2,)).sort()
+        pre = y[:range_idx[0]]
+        shf = y[range_idx[1]:]
+        range_text = y[range_idx[0]:range_idx[1]]
+        new_y = torch.cat([pre, range_text, range_text, shf])
+        return new_y
+    def lost_P(y):
+        range_idx, _ = torch.randint(0, len(y), size=(2,)).sort()
+        pre = y[:range_idx[0]]
+        shf = y[range_idx[1]:]
+        range_text = y[range_idx[0]:range_idx[1]]
+        new_y = torch.cat([pre, shf])
+        return new_y
+    bs = len(y_lens)
+    reject_y = []
+    reject_y_lens = []
+    for b in range(bs):
+        process_item_idx = torch.randint(0, 1, size=(1, ))[0]
+        if process_item_idx == 0:
+            new_y = repeat_P(y_o[b])
+            reject_y.append(new_y)
+            reject_y_lens.append(len(new_y))
+        elif process_item_idx==1:
+            new_y = lost_P(y_o[b])
+            reject_y.append(new_y)
+            reject_y_lens.append(len(new_y))
+    max_length = max(reject_y_lens)
+    for b in range(bs):
+        pad_length = max_length - reject_y_lens[b]
+        reject_y[b] = torch.cat([reject_y[b], torch.zeros(pad_length, dtype=y_o.dtype, device=y_o.device)], dim=0)
+
+    reject_y = torch.stack(reject_y, dim = 0)
+    reject_y_lens = torch.tensor(reject_y_lens, device=y_lens.device)
+
+    return reject_y, reject_y_lens
diff --git a/AR/modules/__pycache__/__init__.cpython-310.pyc b/AR/modules/__pycache__/__init__.cpython-310.pyc
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diff --git a/AR/modules/__pycache__/transformer.cpython-310.pyc b/AR/modules/__pycache__/transformer.cpython-310.pyc
index de44f836fb9cf579f84ec7b5cfd9144293d6367a..607afca8c8f1497fe325371571f6cb1bea0ccdaf 100644
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diff --git a/AR/modules/lr_schedulers.py b/AR/modules/lr_schedulers.py
index 7dec462b7b825c991b5925858b42056091a98379..b8867467381cd58e14ad09ac4434512bc46186fc 100644
--- a/AR/modules/lr_schedulers.py
+++ b/AR/modules/lr_schedulers.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/model/lr_schedulers.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/modules/lr_schedulers.py
+# reference: https://github.com/lifeiteng/vall-e
 import math
 
 import torch
diff --git a/AR/modules/patched_mha_with_cache.py b/AR/modules/patched_mha_with_cache.py
index 57206703ca97a26ca14727cefa731eb0e508260b..7be241dadd378fc9312916f60433ba4b7aa7c764 100644
--- a/AR/modules/patched_mha_with_cache.py
+++ b/AR/modules/patched_mha_with_cache.py
@@ -5,8 +5,8 @@ from torch.nn.functional import (
     _none_or_dtype,
     _in_projection_packed,
 )
-
-# import torch
+from torch.nn import functional as F
+import torch
 # Tensor = torch.Tensor
 # from typing import Callable, List, Optional, Tuple, Union
 
@@ -448,9 +448,11 @@ def multi_head_attention_forward_patched(
         k = k.view(bsz, num_heads, src_len, head_dim)
         v = v.view(bsz, num_heads, src_len, head_dim)
 
+        # with torch.backends.cuda.sdp_kernel(enable_flash=True, enable_math=True, enable_mem_efficient=True):
         attn_output = scaled_dot_product_attention(
             q, k, v, attn_mask, dropout_p, is_causal
         )
+
         attn_output = (
             attn_output.permute(2, 0, 1, 3).contiguous().view(bsz * tgt_len, embed_dim)
         )
diff --git a/AR/modules/scaling.py b/AR/modules/scaling.py
index 80bb8374393073796d25cc985587d1904681dfaf..9256a8cbf342b6a259c48fb8821fed0492c649fd 100644
--- a/AR/modules/scaling.py
+++ b/AR/modules/scaling.py
@@ -13,7 +13,7 @@
 # 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.
-#import logging
+import logging
 import math
 import random
 from typing import Optional
diff --git a/AR/text_processing/phonemizer.py b/AR/text_processing/phonemizer.py
index 9fcf5c09f24ee81436d7765d1430ecf508a524bd..9c5f58fb74da836764cc9d71b8556e979f2b2830 100644
--- a/AR/text_processing/phonemizer.py
+++ b/AR/text_processing/phonemizer.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/text_processing/phonemizer.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/text_processing/phonemizer.py
+# reference: https://github.com/lifeiteng/vall-e
 import itertools
 import re
 from typing import Dict
diff --git a/AR/text_processing/symbols.py b/AR/text_processing/symbols.py
index c57e2d4133964bea9617081ea8f15b034e3833fb..7d754a78b1fd5b3d89768585e1891404bb318118 100644
--- a/AR/text_processing/symbols.py
+++ b/AR/text_processing/symbols.py
@@ -1,4 +1,5 @@
-# modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/text_processing/symbols.py
+# modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/text_processing/symbols.py
+# reference: https://github.com/lifeiteng/vall-e
 PAD = "_"
 PUNCTUATION = ';:,.!?¡¿—…"«»“” '
 LETTERS = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"
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diff --git a/MODELS/Y1/Y1.ckpt b/MODELS/Y1/Y1.ckpt
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--- a/MODELS/Y1/Y1.pth
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deleted file mode 100644
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diff --git a/MODELS/Y2/Y2.ckpt b/MODELS/Y2/Y2.ckpt
deleted file mode 100644
index 0602e483dcd7e1a2697562f0c8bc11c992ce781c..0000000000000000000000000000000000000000
--- a/MODELS/Y2/Y2.ckpt
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--- a/MODELS/Y2/Y2.pth
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diff --git a/MODELS/Z1/A (28).mp3 b/MODELS/Z1/A (28).mp3
deleted file mode 100644
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diff --git a/MODELS/Z1/Z1.ckpt b/MODELS/Z1/Z1.ckpt
deleted file mode 100644
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--- a/MODELS/Z1/Z1.ckpt
+++ /dev/null
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-version https://git-lfs.github.com/spec/v1
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diff --git a/MODELS/Z1/Z1.pth b/MODELS/Z1/Z1.pth
deleted file mode 100644
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--- a/MODELS/Z1/Z1.pth
+++ /dev/null
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-size 84929843
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deleted file mode 100644
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deleted file mode 100644
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--- a/MODELS/Z2/Z2.ckpt
+++ /dev/null
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diff --git a/MODELS/Z2/Z2.pth b/MODELS/Z2/Z2.pth
deleted file mode 100644
index d1afeffbdb6fd915f42229598e129179668987de..0000000000000000000000000000000000000000
--- a/MODELS/Z2/Z2.pth
+++ /dev/null
@@ -1,3 +0,0 @@
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-size 84931197
diff --git a/MODELS/Z2/s1.mp3 b/MODELS/Z2/s1.mp3
deleted file mode 100644
index c1442846afbc4603a41be5bcd5684434169fff1f..0000000000000000000000000000000000000000
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diff --git a/MODELS/Z2/s2.mp3 b/MODELS/Z2/s2.mp3
deleted file mode 100644
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diff --git a/MODELS/Z2/s3.mp3 b/MODELS/Z2/s3.mp3
deleted file mode 100644
index 7fe707ffc34205a4edab0335d82b651d5f798de9..0000000000000000000000000000000000000000
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diff --git a/README.md b/README.md
index 9eb82f62d6b7829b8e78f1500063175539d8aa87..2e9e9e0323209702fc66490836518a59578ec8f3 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,14 @@
 ---
 title: Multi Voice TTS(English/Chinese/Japanese)
-emoji: 🌖
+emoji: 😆🌖😀
 colorFrom: purple
 colorTo: gray
 sdk: gradio
 sdk_version: 4.19.0
 app_file: app.py
 pinned: false
+license: mit
+short_description: '[中文/English/日本語]multilingual text-to-speech'
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/__pycache__/download.cpython-310.pyc b/__pycache__/download.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..80ae597b4af8427385111e4a58ccbb111a0a94b9
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diff --git a/__pycache__/info.cpython-310.pyc b/__pycache__/info.cpython-310.pyc
index 7ef70756b55d62ccb9d8bbea8297d89d9828d193..4eeb522064db56c0e3d592393b205bb2886dcb34 100644
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diff --git a/__pycache__/my_utils.cpython-310.pyc b/__pycache__/my_utils.cpython-310.pyc
index 4632e693b5cfc4130a115bf9f186b0d75434e87b..a2a95ee0e108e6add70ef60c0a2d39e0dff7870a 100644
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diff --git a/__pycache__/utils.cpython-310.pyc b/__pycache__/utils.cpython-310.pyc
index c541230907a679da02d749777e94c34de49a1d5b..cb6f7df07b9f5670a053420fd31db131ee9e36cb 100644
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diff --git a/app.py b/app.py
index 2f400355ea3ac394202ee975785283d02568288e..abced3c8022f71d5b5b89e4639731c2997f6cd6a 100644
--- a/app.py
+++ b/app.py
@@ -729,35 +729,35 @@ with gr.Blocks(theme='Kasien/ali_theme_custom') as app:
    If you like this space, please click the ❤️ at the top of the page..如喜欢，请点一下页面顶部的❤️<br>
   </p>''')
 
-    gr.Markdown("""* This space is based on the text-to-speech generation solution [GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) . 
+    gr.Markdown("""* This space is based on the text-to-speech generation solution GPT-SoVITS . 
     You can visit the repo's github homepage to learn training and inference.<br>
-    本空间基于文字转语音生成方案[GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) . 你可以前往项目的github主页学习如何推理和训练。 
+    本空间基于文字转语音生成方案 GPT-SoVITS . 你可以前往项目的github主页学习如何推理和训练。 
     * ⚠️Generating voice is very slow due to using HuggingFace's free CPU in this space. 
     For faster generation, click the Colab icon below to use this space in Colab,
     which will significantly improve the speed.<br>
     由于本空间使用huggingface的免费CPU进行推理，因此速度很慢，如想快速生成，请点击下方的Colab图标，
     前往Colab使用已获得更快的生成速度。
-    <br>Colabの使用を強くお勧めします。より速い生成速度が得られます。 """)   
+    <br>Colabの使用を強くお勧めします。より速い生成速度が得られます。 
+    * The model's corresponding language is its native language, but in fact, 
+    each model can speak three languages.<br>模型对应的语言是其母语，但实际上，
+    每个模型都能说三种语言<br>モデルに対応する言語はその母国語ですが、実際には、各モデルは3つの言語を話すことができます。""")   
     gr.HTML('''<a href="https://colab.research.google.com/drive/1fTuPZ4tZsAjS-TrhQWMCb7KRdnU8aF6j" target="_blank"><img src="https://camo.githubusercontent.com/dd83d4a334eab7ada034c13747d9e2237182826d32e3fda6629740b6e02f18d8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f6c61622d4639414230303f7374796c653d666f722d7468652d6261646765266c6f676f3d676f6f676c65636f6c616226636f6c6f723d353235323532" alt="colab"></a>
 ''')
 
-    gr.Markdown('''* The model's corresponding language is its native language, but in fact, 
-    each model can speak three languages.<br>模型对应的语言是其母语，但实际上，
-    每个模型都能说三种语言<br>モデルに対応する言語はその母国語ですが、実際には、各モデルは3つの言語を話すことができます。''')
     default_voice_wav, default_voice_wav_words, default_language, _, default_model_name, _, default_tone_sample_path = update_model("Trump")
     english_models = [name for name, _ in models_by_language["English"]]
     chinese_models = [name for name, _ in models_by_language["中文"]]
     japanese_models = [name for name, _ in models_by_language["日本語"]]
     with gr.Row():
         english_choice = gr.Radio(english_models, label="EN|English Model",value="Trump",scale=3)
-        chinese_choice = gr.Radio(chinese_models, label="CN|中文模型",scale=3)
+        chinese_choice = gr.Radio(chinese_models, label="CN|中文模型",scale=2)
         japanese_choice = gr.Radio(japanese_models, label="JP|日本語モデル",scale=4)
 
     plsh='Text must match the selected language option to prevent errors, for example, if English is input but Chinese is selected for generation.\n文字一定要和语言选项匹配，不然要报错，比如输入的是英文，生成语言选中文'
     limit='Max 70 words. Excess will be ignored./单次最多处理120字左右，多余的会被忽略'
 
     gr.HTML('''
-    <b>Input text/输入文字</b>''')
+    <b>输入文字</b>''')
     with gr.Row():
         model_name = gr.Textbox(label="Seleted Model/已选模型", value=default_model_name, scale=1) 
         text = gr.Textbox(label="Input some text for voice generation/输入想要生成语音的文字", lines=5,scale=8,
@@ -803,14 +803,14 @@ with gr.Blocks(theme='Kasien/ali_theme_custom') as app:
         
     
     gr.HTML('''
-    <b>Start generating/开始生成</b>''')
+    <b>开始生成</b>''')
     with gr.Row():
         main_button = gr.Button("✨Generate Voice", variant="primary", scale=1)
         output = gr.Audio(label="💾Download it by clicking ⬇️", scale=3)
         #info = gr.Textbox(label="INFO", visible=True, readonly=True, scale=1)
 
     gr.HTML('''
-    Quickly generate with Colab/使用Colab快速生成：<a href="https://colab.research.google.com/drive/1fTuPZ4tZsAjS-TrhQWMCb7KRdnU8aF6j" target="_blank"><img src="https://camo.githubusercontent.com/dd83d4a334eab7ada034c13747d9e2237182826d32e3fda6629740b6e02f18d8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f436f6c61622d4639414230303f7374796c653d666f722d7468652d6261646765266c6f676f3d676f6f676c65636f6c616226636f6c6f723d353235323532" alt="colab"></a>
+    Generation is slower, please be patient and wait/合成比较慢，请耐心等待<br>
     If it generated silence, please try again./如果生成了空白声音，请重试
     <br><br><br><br>
     <h1 style="font-size: 25px;">Clone custom Voice/克隆自定义声音</h1>
diff --git a/download.py b/download.py
new file mode 100644
index 0000000000000000000000000000000000000000..08af29e5857a87896a818b2d3b1ec4c98e80c328
--- /dev/null
+++ b/download.py
@@ -0,0 +1,47 @@
+import requests
+import zipfile
+import os
+import shutil
+from tqdm import tqdm
+
+def download():
+    url = 'https://huggingface.co/Ailyth/Text_to_Speech_MODELS/resolve/main/tts_models.zip?download=true'
+    output = 'temp.zip'
+    current_dir = os.path.dirname(os.path.abspath(__file__))
+
+    info_py_path = os.path.join(current_dir, 'info.py')
+    models_dir = os.path.join(current_dir, 'MODELS')
+    if os.path.exists(info_py_path) and os.path.exists(models_dir):
+        print('Files already exist, skipping download.')
+        return
+
+    print('✨ Downloading models')
+    response = requests.head(url)
+    total_size = int(response.headers.get('content-length', 0))
+
+    block_size = 1024  
+    progress = tqdm(total=total_size, unit='iB', unit_scale=True)
+    with requests.get(url, stream=True) as r:
+        with open(output, 'wb') as f:
+            for chunk in r.iter_content(chunk_size=8192):
+                if chunk:
+                    f.write(chunk)
+                    progress.update(len(chunk))
+    progress.close()
+
+    with zipfile.ZipFile(output, 'r') as zip_ref:
+        total_files = len(zip_ref.infolist())
+        print('Installing')
+        extract_progress = tqdm(total=total_files, unit='file', leave=False)
+        for file_info in zip_ref.infolist():
+            try:
+                zip_ref.extract(file_info, path=current_dir)
+            except zipfile.error as e:
+                print(f"Error extracting {file_info.filename}: {e}")
+            extract_progress.update()
+        extract_progress.close()
+
+    os.remove(output)
+
+if __name__ == '__main__':
+    download()
\ No newline at end of file
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diff --git a/feature_extractor/__pycache__/whisper_enc.cpython-310.pyc b/feature_extractor/__pycache__/whisper_enc.cpython-310.pyc
index c7b7b64f4c8eaa6b7d8163cb071eb4377a500ef4..3bbcefa7ef2ca7fe4e64dde4fdf1c6381ca5554a 100644
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diff --git a/info.py b/info.py
deleted file mode 100644
index b85a5a6fbc8d0bebb32b5cd5e1bb5ca60d0a1a86..0000000000000000000000000000000000000000
--- a/info.py
+++ /dev/null
@@ -1,558 +0,0 @@
-models = {
-    "Trump": {
-        "gpt_weight": "MODELS/22/22.ckpt",
-        "sovits_weight": "MODELS/22/22.pth",
-        "default_language": "English",
-        "tones": {
-            "tone3": {
-              "sample": "MODELS/22/s3.mp3",
-                "example_voice_wav": "MODELS/22/speed.mp3",
-                "example_voice_wav_words": "My father was a worker, and he loved to work. He'd work on Saturdays, he'd work on Sundays, he just liked it.",
-            },
-            "tone2": {
-                 "sample": "MODELS/22/s2.mp3",
-                "example_voice_wav": "MODELS/22/slow_calm.mp3",
-                "example_voice_wav_words": "for ourselves, and for our allies.",
-            },
-            "tone1": {
-                 "sample": "MODELS/22/s1.mp3",
-                "example_voice_wav": "MODELS/22/passion.mp3",
-                "example_voice_wav_words": "Because when you're doing something that you love, like I do, of course I love my business, but this is a little bit different. Who thought this was going to happen?",
-            },
-        },
-    },
-
-    "Vader": {
-        "gpt_weight": "MODELS/31/31.ckpt",
-        "sovits_weight": "MODELS/31/31.pth",
-        "default_language": "English",
-        "tones": {
-            "tone1": {
-               "sample": "MODELS/31/s1.mp3",
-                "example_voice_wav": "MODELS/31/1.mp3",
-                "example_voice_wav_words": "A dying frenzy. You purchase moments with blood.",
-            },
-            "tone2": {
-               "sample": "MODELS/31/s2.mp3",
-                "example_voice_wav": "MODELS/31/148.mp3",
-                "example_voice_wav_words": "Face me. Now you face true power.",
-            },
-            "tone3": {
-               "sample": "MODELS/31/s3.mp3",
-                "example_voice_wav": "MODELS/31/96.mp3",
-                "example_voice_wav_words": "Soon. Prepare to engage.",
-            },
-        },
-    },
-
-    "Boba": {
-        "gpt_weight": "MODELS/33/33.ckpt",
-        "sovits_weight": "MODELS/33/33.pth",
-        "default_language": "English",
-        "tones": {
-            "tone1": {
-               "sample": "MODELS/33/s1.mp3",
-                "example_voice_wav": "MODELS/33/1.mp3",
-                "example_voice_wav_words": "Primitive. Animal. Not until we're through.",
-            },
-            "tone2": {
-              "sample": "MODELS/33/s2.mp3",
-                "example_voice_wav": "MODELS/33/56.mp3",
-                "example_voice_wav_words": "There they are! Charging weapons. Weapons online.",
-            },
-            "tone3": {
-               "sample": "MODELS/33/s3.mp3",
-                "example_voice_wav": "MODELS/33/103.mp3",
-                "example_voice_wav_words": "You almost had me. Almost. Interesting tactic.",
-            },
-        },
-    },
-
-     "Sylph": {
-        "gpt_weight": "MODELS/B2/B2.ckpt",
-        "sovits_weight": "MODELS/B2/B2.pth",
-        "default_language": "English",
-        "tones": {
-            "tone1": {
-              "sample": "MODELS/B2/s1.mp3",
-                "example_voice_wav": "MODELS/B2/1.mp3",
-                "example_voice_wav_words": "The first type of lashes we'll be using today is the Little Devil. It is a type of flare individual lash.",
-            },
-            "tone2": {
-              "sample": "MODELS/B2/s2.mp3",
-                "example_voice_wav": "MODELS/B2/16.mp3",
-                "example_voice_wav_words": "Take out an eyelid tape using a tweezer or your hands. Place the front of the tape slightly above your natural eye fold.",
-            },
-            "tone3": {
-              "sample": "MODELS/B2/s3.mp3",
-                "example_voice_wav": "MODELS/B2/212.mp3",
-                "example_voice_wav_words": "and own your style. Until we meet again next time!",
-            },
-        },
-    },
-
-     "Corone": {
-        "gpt_weight": "MODELS/B3/B3.ckpt",
-        "sovits_weight": "MODELS/B3/B3.pth",
-        "default_language": "English",
-        "tones": {
-            "tone1": {
-              "sample": "MODELS/B3/s1.mp3",
-                "example_voice_wav": "MODELS/B3/3.mp3",
-                "example_voice_wav_words": "Pursue the echoes of blood, and I will channel them into your strength.",
-            },
-            "tone2": {
-              "sample": "MODELS/B3/s2.mp3",
-                "example_voice_wav": "MODELS/B3/16.mp3",
-                "example_voice_wav_words": "Ah, the little ones, inhabitants of the dream.",
-            },
-            "tone3": {
-              "sample": "MODELS/B3/s3.mp3",
-                "example_voice_wav": "MODELS/B3/42.mp3",
-                "example_voice_wav_words": "The hunt begins again. Are you cold, oh good hunter?",
-            },
-        },
-    },
-
-     "Emperor": {
-        "gpt_weight": "MODELS/32/32.ckpt",
-        "sovits_weight": "MODELS/32/32.pth",
-        "default_language": "English",
-        "tones": {
-            "tone1": {
-               "sample": "MODELS/32/s1.mp3",
-                "example_voice_wav": "MODELS/32/1.mp3",
-                "example_voice_wav_words": "Senator Organa, it has been a long time.",
-            },
-            "tone2": {
-               "sample": "MODELS/32/s2.mp3",
-                "example_voice_wav": "MODELS/32/4.mp3",
-                "example_voice_wav_words": "I wish. So unfortunate.",
-            },
-            "tone3": {
-               "sample": "MODELS/32/s3.mp3",
-                "example_voice_wav": "MODELS/32/65.mp3",
-                "example_voice_wav_words": "How many years did you spend deceived? The dark side will blind you forever!",
-            },
-        },
-    },
-
-    "Blacksmith": {
-        "gpt_weight": "MODELS/D1/D1.ckpt",
-        "sovits_weight": "MODELS/D1/D1.pth",
-        "default_language": "English",
-        "tones": {
-            "tone1": {
-               "sample": "MODELS/D1/s1.mp3",
-                "example_voice_wav": "MODELS/D1/1.mp3",
-                "example_voice_wav_words": "Show respect! This is a holy place!",
-            },
-            "tone2": {
-                "sample": "MODELS/D1/s2.mp3",
-                "example_voice_wav": "MODELS/D1/29.mp3",
-                "example_voice_wav_words": "Yeah, sign of beast men, no doubt.",
-            },
-            "tone3": {
-                "sample": "MODELS/D1/s3.mp3",
-                "example_voice_wav": "MODELS/D1/96.mp3",
-                "example_voice_wav_words": "I'm not an imbecile. I've learned when to speak.",
-            },
-        },
-    },
-
-
-    "Pawn": {
-        "gpt_weight": "MODELS/21/21.ckpt",
-        "sovits_weight": "MODELS/21/21.pth",
-        "default_language": "English",
-        "tones": {
-            "tone1": {
-                "sample": "MODELS/21/s1.mp3",
-                "example_voice_wav": "MODELS/21/1.mp3",
-                "example_voice_wav_words": "There's an enemy wagon loaded with coin and weapons. We need to capture it.",
-            },
-            "tone2": {
-                "sample": "MODELS/21/s2.mp3",
-                "example_voice_wav": "MODELS/21/11.mp3",
-                "example_voice_wav_words": "I have the artifact you seek, but I think I'll be keeping it. So long.",
-            },
-            "tone3": {
-                "sample": "MODELS/21/s3.mp3",
-                "example_voice_wav": "MODELS/21/191.mp3",
-                "example_voice_wav_words": "I don't have time for this. I can get rough with you if I have to.",
-            },
-        },
-    },
-
-    "月": {
-        "gpt_weight": "MODELS/Y1/Y1.ckpt",
-        "sovits_weight": "MODELS/Y1/Y1.pth",
-        "default_language": "中文",
-        "tones": {
-                "tone1": {
-                      "sample": "MODELS/Y1/s1.mp3",
-                    "example_voice_wav": "MODELS/Y1/query.mp3",
-                    "example_voice_wav_words": "但是子秋明明是神子啊？",
-                },
-                "tone2": {
-                  "sample": "MODELS/Y1/s2.mp3",
-                    "example_voice_wav": "MODELS/Y1/25.mp3",
-                    "example_voice_wav_words": "我常常想,若将来能遇到一个人",
-                },
-                "tone3": {
-                  "sample": "MODELS/Y1/s3.mp3",
-                    "example_voice_wav": "MODELS/Y1/39.mp3",
-                    "example_voice_wav_words": "才鼓起勇气说，结果你怎么这么容易就说出来了呀",
-                },
-        },
-    },
-
-    "TC_Nikki": {
-        "gpt_weight": "MODELS/N1/N1.ckpt",
-        "sovits_weight": "MODELS/N1/N1.pth",
-        "default_language": "中文",
-        "tones": {
-                "tone3": {
-                    "sample": "MODELS/N1/s1.mp3",
-                    "example_voice_wav": "MODELS/N1/2_33.mp3",
-                    "example_voice_wav_words": "他怎么又更新了，有什么想法，直接告诉我就好了。",
-                },
-                "tone2": {
-                   "sample": "MODELS/N1/s2.mp3",
-                    "example_voice_wav": "MODELS/N1/3_10.mp3",
-                    "example_voice_wav_words": "不过还有很多没有完成的事呢。",
-                },
-                "tone1": {
-                   "sample": "MODELS/N1/s3.mp3",
-                    "example_voice_wav": "MODELS/N1/3_28.mp3",
-                    "example_voice_wav_words": "跟能够自己画设计图的铅笔，梦里不会感觉到痛。",
-                },
-        },
-    },
-
-     "云": {
-        "gpt_weight": "MODELS/K2/K2.ckpt",
-        "sovits_weight": "MODELS/K2/K2.pth",
-        "default_language": "中文",
-        "tones": {
-                "tone1": {
-                   "sample": "MODELS/K2/s1.mp3",
-                    "example_voice_wav": "MODELS/K2/1.mp3",
-                    "example_voice_wav_words": "小灌木很快就停止了生长，开始做好了开花的准备。",
-                },
-                "tone2": {
-                   "sample": "MODELS/K2/s2.mp3",
-                    "example_voice_wav": "MODELS/K2/0013064.mp3",
-                    "example_voice_wav_words": "诶呀，开玩笑的，外面这么冷，不要命啦",
-                },
-                "tone3": {
-                   "sample": "MODELS/K2/s3.mp3",
-                    "example_voice_wav": "MODELS/K2/0013073.mp3",
-                    "example_voice_wav_words": "啊，所以今天的食谱是，毛血旺和水煮肉片。",
-                },
-        },
-    },
-
-    "Xiu": {
-        "gpt_weight": "MODELS/Y2/Y2.ckpt",
-        "sovits_weight": "MODELS/Y2/Y2.pth",
-        "default_language": "中文",
-        "tones": {
-                "tone1": {
-                   "sample": "MODELS/Y2/s1.mp3",
-                    "example_voice_wav": "MODELS/Y2/1.mp3",
-                    "example_voice_wav_words": "敖旭对共生之术了如指掌，我怕他为了对付我而向师姐下手。",
-                },
-                "tone2": {
-                    "sample": "MODELS/Y2/s2.mp3",
-                    "example_voice_wav": "MODELS/Y2/22.mp3",
-                    "example_voice_wav_words": "相亲相爱，形影不离",
-                },
-                "tone3": {
-                    "sample": "MODELS/Y2/s3.mp3",
-                    "example_voice_wav": "MODELS/Y2/7.mp3",
-                    "example_voice_wav_words": "江州望月影清书,积雪寻梅欲驻足",
-                },
-        },
-    },
-
-    "方言腔1": {
-        "gpt_weight": "MODELS/Mandarin/TJ/TJ.ckpt",
-        "sovits_weight": "MODELS/Mandarin/TJ/TJ.pth",
-        "default_language": "中文",
-        "tones": {
-                "tone1": {
-                   "sample": "MODELS/Mandarin/TJ/A0003_S004_0_G0001_1.WAV.mp3",
-                    "example_voice_wav": "MODELS/Mandarin/TJ/A0003_S004_0_G0001_1.WAV.mp3",
-                    "example_voice_wav_words": "咱今个儿，咱今个儿，咱聊聊这个旅游吧。好吗？",
-                },
-                "tone2": {
-                    "sample": "MODELS/Mandarin/TJ/A0003_S004_0_G0001_61.WAV.mp3",
-                    "example_voice_wav": "MODELS/Mandarin/TJ/A0003_S004_0_G0001_61.WAV.mp3",
-                    "example_voice_wav_words": "分不出来是早点。午饭。晚饭",
-                },
-                "tone3": {
-                    "sample": "MODELS/Mandarin/TJ/A0003_S006_0_G0001_189.WAV.mp3",
-                    "example_voice_wav": "MODELS/Mandarin/TJ/A0003_S006_0_G0001_189.WAV.mp3",
-                    "example_voice_wav_words": "你看你看中国这踢球，妈的球到你妈就多少人追，都追不上",
-                },
-        },
-    },
-
-
-      "方言腔2": {
-        "gpt_weight": "MODELS/Mandarin/ZZ/ZZ.ckpt",
-        "sovits_weight": "MODELS/Mandarin/ZZ/ZZ.pth",
-        "default_language": "中文",
-        "tones": {
-                "tone1": {
-                   "sample": "MODELS/Mandarin/ZZ/A0001_S001_0_G0001_10.WAV.mp3",
-                    "example_voice_wav": "MODELS/Mandarin/ZZ/A0001_S001_0_G0001_10.WAV.mp3",
-                    "example_voice_wav_words": "那你说那小嘞是不是都是谁家盖房子用那一种小嘞。",
-                },
-                "tone2": {
-                    "sample": "MODELS/Mandarin/ZZ/A0001_S003_0_G0001_2.WAV.mp3",
-                    "example_voice_wav": "MODELS/Mandarin/ZZ/A0001_S003_0_G0001_2.WAV.mp3",
-                    "example_voice_wav_words": "我听人家说，你是，学音乐嘞。",
-                },
-                "tone3": {
-                    "sample": "MODELS/Mandarin/ZZ/A0001_S003_0_G0001_14.WAV.mp3",
-                    "example_voice_wav": "MODELS/Mandarin/ZZ/A0001_S003_0_G0001_14.WAV.mp3",
-                    "example_voice_wav_words": "它不是管儿，它不是管儿，它就是，嗯，哎呀，不知道咋形容，圆咧。",
-                },
-        },
-    },
-
-
-
-    "白い悪魔": {
-        "gpt_weight": "MODELS/G1/G1.ckpt",
-        "sovits_weight": "MODELS/G1/G1.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-                "sample": "MODELS/G1/s1.mp3",
-                "example_voice_wav": "MODELS/G1/18.mp3",
-                "example_voice_wav_words": "モビルスーツならば格闘戦も!サーベルで!ザーッ!見える!",
-            },
-            "tone2": {
-              "sample": "MODELS/G1/s2.mp3",
-                "example_voice_wav": "MODELS/G1/30.mp3",
-                "example_voice_wav_words": "敵を一掃した!こいつの戦闘力もなかなかだな!",
-            },
-            "tone3": {
-                "sample": "MODELS/G1/s3.mp3",
-                "example_voice_wav": "MODELS/G1/62.mp3",
-                "example_voice_wav_words": "悪くないな、さすがはゼータガンダムを元にしただけのことはある",
-            },
-        },
-    },
-
-    "赤い彗星": {
-        "gpt_weight": "MODELS/G2/G2.ckpt",
-        "sovits_weight": "MODELS/G2/G2.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-              "sample": "MODELS/G2/s1.mp3",
-                "example_voice_wav": "MODELS/G2/53.mp3",
-                "example_voice_wav_words": "直接攻撃を行う次第である 地球連邦政府がスイートウォーターの試験を認めなければ",
-            },
-            "tone2": {
-               "sample": "MODELS/G2/s2.mp3",
-                "example_voice_wav": "MODELS/G2/62.mp3",
-                "example_voice_wav_words": "何だと、こざかしい!こざかしい真似を!うあああああ",
-            },
-            "tone3": {
-               "sample": "MODELS/G2/s3.mp3",
-                "example_voice_wav": "MODELS/G2/31.mp3",
-                "example_voice_wav_words": "いい加減にしろ 敵のパターンは読めた一気に行くぞ",
-            },
-        },
-    },
-
-     "うみ": {
-        "gpt_weight": "MODELS/B1/B1.ckpt",
-        "sovits_weight": "MODELS/B1/B1.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-               "sample": "MODELS/B1/s1.mp3",
-                "example_voice_wav": "MODELS/B1/1.mp3",
-                "example_voice_wav_words": "大変ありがたきこと。 提督様の指揮のおかげです。",
-            },
-            "tone2": {
-              "sample": "MODELS/B1/s2.mp3",
-                "example_voice_wav": "MODELS/B1/120.mp3",
-                "example_voice_wav_words": "ていとく様、美味しいです。ありがとう、存じます。",
-            },
-            "tone3": {
-              "sample": "MODELS/B1/s3.mp3",
-                "example_voice_wav": "MODELS/B1/24.mp3",
-                "example_voice_wav_words": "肩と肝、話しません!",
-            },
-        },
-    },
-
-      "よろずや": {
-        "gpt_weight": "MODELS/L1/L1.ckpt",
-        "sovits_weight": "MODELS/L1/L1.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-                "sample": "MODELS/L1/s1.mp3",
-                "example_voice_wav": "MODELS/L1/1.mp3",
-                "example_voice_wav_words": "寺院を各種取り揃えております",
-            },
-            "tone2": {
-               "sample": "MODELS/L1/s2.mp3",
-                "example_voice_wav": "MODELS/L1/4.mp3",
-                "example_voice_wav_words": "冒険で手に入れたトレジャーと アイテムの交換ができちゃいます!",
-            },
-            "tone3": {
-               "sample": "MODELS/L1/s3.mp3",
-                "example_voice_wav": "MODELS/L1/66.mp3",
-                "example_voice_wav_words": "雪山の氷を仕入れる、氷魚!ぷぷぷぷ",
-            },
-        },
-    },
-
-      "エルレイ": {
-        "gpt_weight": "MODELS/F1/F1.ckpt",
-        "sovits_weight": "MODELS/F1/F1.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-                "sample": "MODELS/F1/s1.mp3",
-                "example_voice_wav": "MODELS/F1/6.mp3",
-                "example_voice_wav_words": "に。喜んだな、人類。いいぞ。",
-            },
-            "tone2": {
-                "sample": "MODELS/F1/s2.mp3",
-                "example_voice_wav": "MODELS/F1/80.mp3",
-                "example_voice_wav_words": "いざお弁当を作る 母は強し",
-            },
-            "tone3": {
-                "sample": "MODELS/F1/s3.mp3",
-                "example_voice_wav": "MODELS/F1/57.mp3",
-                "example_voice_wav_words": "あ゛あ゛あ゛",
-            },
-        },
-    },
-
-    "だき": {
-        "gpt_weight": "MODELS/B4/B4.ckpt",
-        "sovits_weight": "MODELS/B4/B4.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-                "sample": "MODELS/B4/s1.mp3",
-                "example_voice_wav": "MODELS/B4/3.mp3",
-                "example_voice_wav_words": "また怒られてしまうわ死んだ人はね",
-            },
-            "tone2": {
-                "sample": "MODELS/B4/s2.mp3",
-                "example_voice_wav": "MODELS/B4/53.mp3",
-                "example_voice_wav_words": "こんな風にすれば勝てるって",
-            },
-            "tone3": {
-                "sample": "MODELS/B4/s3.mp3",
-                "example_voice_wav": "MODELS/B4/92.mp3",
-                "example_voice_wav_words": "泣かぬなら、かごに爪をほととぎす。",
-            },
-        },
-    },
-
-      "迷惑": {
-        "gpt_weight": "MODELS/R1/R1.ckpt",
-        "sovits_weight": "MODELS/R1/R1.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-               "sample": "MODELS/R1/s1.mp3",
-                "example_voice_wav": "MODELS/R1/1.mp3",
-                "example_voice_wav_words": "こんな便乗商法なんて、お客様を舐めてるとしか思えないわよ!",
-            },
-            "tone2": {
-              "sample": "MODELS/R1/s2.mp3",
-                "example_voice_wav": "MODELS/R1/25.mp3",
-                "example_voice_wav_words": "え、大杉だって?か、買ってくれないの?",
-            },
-            "tone3": {
-              "sample": "MODELS/R1/s3.mp3",
-                "example_voice_wav": "MODELS/R1/26.mp3",
-                "example_voice_wav_words": "じゃ、じゃあしょうがないから、真心を込めて",
-            },
-        },
-    },
-
-     "DK": {
-        "gpt_weight": "MODELS/G3/G3.ckpt",
-        "sovits_weight": "MODELS/G3/G3.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-               "sample": "MODELS/G3/s1.mp3",
-                "example_voice_wav": "MODELS/G3/1.mp3",
-                "example_voice_wav_words": "不動の学年トップかぁ 僕はついに君を追い越せなかったなぁ",
-            },
-            "tone2": {
-               "sample": "MODELS/G3/s2.mp3",
-                "example_voice_wav": "MODELS/G3/122.mp3",
-                "example_voice_wav_words": "ある意味忘れられない文化祭だな",
-            },
-            "tone3": {
-               "sample": "MODELS/G3/s3.mp3",
-                "example_voice_wav": "MODELS/G3/120.mp3",
-                "example_voice_wav_words": "あ、そうだあの時だな 僕も忘れられないよ",
-            },
-        },
-    },
-
-     "ヴァルキリー": {
-        "gpt_weight": "MODELS/Z2/Z2.ckpt",
-        "sovits_weight": "MODELS/Z2/Z2.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-               "sample": "MODELS/Z2/s1.mp3",
-                "example_voice_wav": "MODELS/Z2/1.mp3",
-                "example_voice_wav_words": "今回作ったムサシコシュラエも 無骨ながらお気に入りかな",
-            },
-            "tone2": {
-               "sample": "MODELS/Z2/s2.mp3",
-                "example_voice_wav": "MODELS/Z2/7.mp3",
-                "example_voice_wav_words": "よしよし、おさかべひめも出てきたか。しかもサバゲーなんて良い趣味してる!",
-            },
-            "tone3": {
-               "sample": "MODELS/Z2/s3.mp3",
-                "example_voice_wav": "MODELS/Z2/56.mp3",
-                "example_voice_wav_words": "いざ、決戦の島へ!よーし、乗ってくか!",
-            },
-        },
-    },
-
-      "ジエン": {
-        "gpt_weight": "MODELS/X1/X1.ckpt",
-        "sovits_weight": "MODELS/X1/X1.pth",
-        "default_language": "日本語",
-        "tones": {
-            "tone1": {
-               "sample": "MODELS/X1/s1.mp3",
-                "example_voice_wav": "MODELS/X1/29.mp3",
-                "example_voice_wav_words": "なんだかワクワクしてきたもん わくわくが止まんないも",
-            },
-            "tone2": {
-               "sample": "MODELS/X1/s2.mp3",
-                "example_voice_wav": "MODELS/X1/48.mp3",
-                "example_voice_wav_words": "ライン!大変なんだもん!カルナ!どうしたらいいもん!",
-            },
-            "tone3": {
-               "sample": "MODELS/X1/s3.mp3",
-                "example_voice_wav": "MODELS/X1/91.mp3",
-                "example_voice_wav_words": "ん?急に言われても困るんだもん!",
-            },
-        },
-    },
-
-}
\ No newline at end of file
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