本地适配的部分，包括重新配置gpt/sovits模型，重新配置config等

GPT_SoVITS/text/ja_userdic/userdict.md5

@@ -0,0 +1 @@
+878b3caf4d1cd7c2927c26e85072a2f5

config.py

@@ -15,6 +15,8 @@ cnhubert_path = "GPT_SoVITS/pretrained_models/chinese-hubert-base"
 bert_path = "GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large"
 pretrained_sovits_path = "GPT_SoVITS/pretrained_models/s2G488k.pth"
 pretrained_gpt_path = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"
+# pretrained_sovits_path = "GPT_SoVITS/pretrained_models/Aris_e16_s272.pth.pth"
+# pretrained_gpt_path = "GPT_SoVITS/pretrained_models/Aris_e15.ckpt"
 
 exp_root = "logs"
 python_exec = sys.executable or "python"

test.py

@@ -0,0 +1,24 @@
+import requests
+
+# API地址（本地运行时）
+url = "http://127.0.0.1:9880"
+
+# 请求体
+payload = {
+    "refer_wav_path": "Arona_Academy_In_2.ogg.wav",         # 替换为你的参考音频路径
+    "prompt_text": "様々な授業やイベントが準備されているので、ご希望のスケジュールを選んでください！",            # 参考音频中的文字
+    "prompt_language": "ja",             # 语言
+    "text": "你好。你好。你好。你好。你好。你好。你好。你好。你好。你好。你好。",
+    "text_language": "zh"
+}
+
+# 发送 POST 请求
+response = requests.post(url, json=payload)
+
+# 检查返回
+if response.status_code == 200:
+    with open("output.wav", "wb") as f:
+        f.write(response.content)
+    print("生成成功，保存为 output.wav")
+else:
+    print(f"生成失败: {response.status_code}, 返回信息: {response.text}")