From 39e77a61aca7285315f6a070979c001e66b43fc3 Mon Sep 17 00:00:00 2001
From: samiabat <samuelabatneh20@gmail.com>
Date: Wed, 9 Jul 2025 02:18:57 +0300
Subject: [PATCH] add allc

---
 GPT_SoVITS/inference_cli.py   |   6 +-
 GPT_SoVITS/inference_webui.py |   4 +-
 api.py                        | 246 +---------------------------------
 3 files changed, 9 insertions(+), 247 deletions(-)

diff --git a/GPT_SoVITS/inference_cli.py b/GPT_SoVITS/inference_cli.py
index 43004a21..05ae4e34 100644
--- a/GPT_SoVITS/inference_cli.py
+++ b/GPT_SoVITS/inference_cli.py
@@ -3,7 +3,7 @@ import os
 import soundfile as sf
 
 from tools.i18n.i18n import I18nAuto
-from GPT_SoVITS.inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav
+from GPT_SoVITS.inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav, test
 
 i18n = I18nAuto()
 
@@ -11,9 +11,13 @@ def synthesize(GPT_model_path, SoVITS_model_path, ref_audio_path, ref_text, ref_
                energy_scale=1.0, volume_scale=1.0, strain_effect=0.0):
     
     # Change model weights
+    print("Changing model weights about to be called...")
+    test()
     change_gpt_weights(gpt_path=GPT_model_path)
     change_sovits_weights(sovits_path=SoVITS_model_path)
 
+    print("Model weights changed successfully.")
+
     # Synthesize audio
     synthesis_result = get_tts_wav(ref_wav_path=ref_audio_path, 
                                    prompt_text=ref_text, 
diff --git a/GPT_SoVITS/inference_webui.py b/GPT_SoVITS/inference_webui.py
index 3ccf45ab..d62a6764 100644
--- a/GPT_SoVITS/inference_webui.py
+++ b/GPT_SoVITS/inference_webui.py
@@ -41,6 +41,8 @@ for i in range(3):
     if os.path.exists(pretrained_sovits_name[i]):_[-1].append(pretrained_sovits_name[i])
 pretrained_gpt_name,pretrained_sovits_name = _
 
+def test():
+    print("GPT_SoVITS/inference_cli.py is running")
 
 if os.path.exists(f"./weight.json"):
     pass
@@ -327,7 +329,7 @@ def change_gpt_weights(gpt_path):
 
 
 change_gpt_weights(gpt_path)
-os.environ["HF_ENDPOINT"]          = "https://hf-mirror.com"
+os.environ["HF_ENDPOINT"] = "https://hf-mirror.com"
 import torch,soundfile
 now_dir = os.getcwd()
 import soundfile
diff --git a/api.py b/api.py
index cf930a19..de7f04ed 100644
--- a/api.py
+++ b/api.py
@@ -1,146 +1,3 @@
-"""
-# api.py usage
-
-` python api.py -dr "123.wav" -dt "一二三。" -dl "zh" `
-
-## 执行参数:
-
-`-s` - `SoVITS模型路径, 可在 config.py 中指定`
-`-g` - `GPT模型路径, 可在 config.py 中指定`
-
-调用请求缺少参考音频时使用
-`-dr` - `默认参考音频路径`
-`-dt` - `默认参考音频文本`
-`-dl` - `默认参考音频语种, "中文","英文","日文","韩文","粤语,"zh","en","ja","ko","yue"`
-
-`-d` - `推理设备, "cuda","cpu"`
-`-a` - `绑定地址, 默认"127.0.0.1"`
-`-p` - `绑定端口, 默认9880, 可在 config.py 中指定`
-`-fp` - `覆盖 config.py 使用全精度`
-`-hp` - `覆盖 config.py 使用半精度`
-`-sm` - `流式返回模式, 默认不启用, "close","c", "normal","n", "keepalive","k"`
-·-mt` - `返回的音频编码格式, 流式默认ogg, 非流式默认wav, "wav", "ogg", "aac"`
-·-st` - `返回的音频数据类型, 默认int16, "int16", "int32"`
-·-cp` - `文本切分符号设定, 默认为空, 以",.，。"字符串的方式传入`
-
-`-hb` - `cnhubert路径`
-`-b` - `bert路径`
-
-## 调用:
-
-### 推理
-
-endpoint: `/`
-
-使用执行参数指定的参考音频:
-GET:
-    `http://127.0.0.1:9880?text=先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。&text_language=zh`
-POST:
-```json
-{
-    "text": "先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。",
-    "text_language": "zh"
-}
-```
-
-使用执行参数指定的参考音频并设定分割符号:
-GET:
-    `http://127.0.0.1:9880?text=先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。&text_language=zh&cut_punc=，。`
-POST:
-```json
-{
-    "text": "先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。",
-    "text_language": "zh",
-    "cut_punc": "，。",
-}
-```
-
-手动指定当次推理所使用的参考音频:
-GET:
-    `http://127.0.0.1:9880?refer_wav_path=123.wav&prompt_text=一二三。&prompt_language=zh&text=先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。&text_language=zh`
-POST:
-```json
-{
-    "refer_wav_path": "123.wav",
-    "prompt_text": "一二三。",
-    "prompt_language": "zh",
-    "text": "先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。",
-    "text_language": "zh"
-}
-```
-
-RESP:
-成功: 直接返回 wav 音频流， http code 200
-失败: 返回包含错误信息的 json, http code 400
-
-手动指定当次推理所使用的参考音频，并提供参数:
-GET:
-    `http://127.0.0.1:9880?refer_wav_path=123.wav&prompt_text=一二三。&prompt_language=zh&text=先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。&text_language=zh&top_k=20&top_p=0.6&temperature=0.6&speed=1&inp_refs="456.wav"&inp_refs="789.wav"`
-POST:
-```json
-{
-    "refer_wav_path": "123.wav",
-    "prompt_text": "一二三。",
-    "prompt_language": "zh",
-    "text": "先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。",
-    "text_language": "zh",
-    "top_k": 20,
-    "top_p": 0.6,
-    "temperature": 0.6,
-    "speed": 1,
-    "inp_refs": ["456.wav","789.wav"]
-}
-```
-
-RESP:
-成功: 直接返回 wav 音频流， http code 200
-失败: 返回包含错误信息的 json, http code 400
-
-
-### 更换默认参考音频
-
-endpoint: `/change_refer`
-
-key与推理端一样
-
-GET:
-    `http://127.0.0.1:9880/change_refer?refer_wav_path=123.wav&prompt_text=一二三。&prompt_language=zh`
-POST:
-```json
-{
-    "refer_wav_path": "123.wav",
-    "prompt_text": "一二三。",
-    "prompt_language": "zh"
-}
-```
-
-RESP:
-成功: json, http code 200
-失败: json, 400
-
-
-### 命令控制
-
-endpoint: `/control`
-
-command:
-"restart": 重新运行
-"exit": 结束运行
-
-GET:
-    `http://127.0.0.1:9880/control?command=restart`
-POST:
-```json
-{
-    "command": "restart"
-}
-```
-
-RESP: 无
-
-"""
-
-
 import argparse
 import os,re
 import sys
@@ -279,7 +136,7 @@ def get_sovits_weights(sovits_path):
     is_exist_s2gv3=os.path.exists(path_sovits_v3)
 
     version, model_version, if_lora_v3=get_sovits_version_from_path_fast(sovits_path)
-    logger.info(f"the version of version: {version}, model version: {model_version}, if lora v3: {if_lora_v3}")
+    logger.info(f"the version is: {version}, model version: {model_version}, if lora v3: {if_lora_v3}")
     if if_lora_v3==True and is_exist_s2gv3==False:
         logger.info("SoVITS V3 底模缺失，无法加载相应 LoRA 权重")
 
@@ -1021,53 +878,6 @@ change_gpt_sovits_weights(gpt_path = gpt_path, sovits_path = sovits_path)
 # --------------------------------
 app = FastAPI()
 
-@app.post("/set_model")
-async def set_model(request: Request):
-    json_post_raw = await request.json()
-    return change_gpt_sovits_weights(
-        gpt_path = json_post_raw.get("gpt_model_path"), 
-        sovits_path = json_post_raw.get("sovits_model_path")
-    )
-
-
-@app.get("/set_model")
-async def set_model(
-        gpt_model_path: str = None,
-        sovits_model_path: str = None,
-):
-    return change_gpt_sovits_weights(gpt_path = gpt_model_path, sovits_path = sovits_model_path)
-
-
-@app.post("/control")
-async def control(request: Request):
-    json_post_raw = await request.json()
-    return handle_control(json_post_raw.get("command"))
-
-
-@app.get("/control")
-async def control(command: str = None):
-    return handle_control(command)
-
-
-@app.post("/change_refer")
-async def change_refer(request: Request):
-    json_post_raw = await request.json()
-    return handle_change(
-        json_post_raw.get("refer_wav_path"),
-        json_post_raw.get("prompt_text"),
-        json_post_raw.get("prompt_language")
-    )
-
-
-@app.get("/change_refer")
-async def change_refer(
-        refer_wav_path: str = None,
-        prompt_text: str = None,
-        prompt_language: str = None
-):
-    return handle_change(refer_wav_path, prompt_text, prompt_language)
-
-
 @app.post("/")
 async def tts_endpoint(request: Request):
     json_post_raw = await request.json()
@@ -1092,60 +902,6 @@ import soundfile as sf
 import io
 from fastapi.responses import StreamingResponse
 
-@app.get("/version-4")
-async def version_4(
-    GPT_model_path = "GPT_SoVITS/pretrained_models/kurari-e40.ckpt",
-    SoVITS_model_path = "GPT_SoVITS/pretrained_models/kurari_e20_s1800_l32.pth",
-    ref_text: str = "おはよう〜。今日はどんな1日過ごすー？くらりはね〜いつでもあなたの味方だよ",
-    ref_language: str = "日文",
-    target_text: str = None,
-    text_language: str = "日文",
-    output_path: str = None,
-    character_name: str = "Kurari",
-    model_id: int = 14,
-):
-    # Create a temporary buffer to store the audio
-    audio_buffer = io.BytesIO()
-    # GPT_model_path, SoVITS_model_path, ref_audio_path, ref_text, ref_language, target_text, text_language, output_path
-    # Synthesize audio and get the result
-
-    path = "idols/kurari/kurari.wav" 
-    if character_name == "saotome":
-        path = "idols/saotome/saotome.wav"
-        GPT_model_path = "GPT_SoVITS/pretrained_models/saotome-e30.ckpt"
-        SoVITS_model_path = "GPT_SoVITS/pretrained_models/saotome_e9_s522_l32.pth"
-        ref_text = "今日は友達と一緒に映画を見に行く予定ですが、天気が悪くて少し心配です。"
-        ref_language = "日文"
-
-    synthesis_result = synthesize(
-        GPT_model_path = GPT_model_path,
-        SoVITS_model_path = SoVITS_model_path,
-        ref_audio_path = path,
-        ref_text = ref_text,
-        ref_language = ref_language,
-        target_text = target_text,
-        text_language = text_language,
-        output_path = output_path  # Don't save to file
-    )
-    
-    # Get the last audio data and sample rate from synthesis result
-    result_list = list(synthesis_result)
-    if result_list:
-        last_sampling_rate, last_audio_data = result_list[-1]
-        
-        # Write audio data to buffer
-        # sf.write(audio_buffer, last_audio_data, last_sampling_rate, )
-        sf.write(audio_buffer, last_audio_data, last_sampling_rate, format="wav")
-        audio_buffer.seek(0)
-        
-        # Return audio as streaming response
-        return StreamingResponse(
-            audio_buffer,
-            media_type="audio/wav",
-            headers={"Content-Disposition": "attachment; filename=output.wav"}
-        )
-    
-    return JSONResponse({"error": "Failed to generate audio"}, status_code=400)
 
 def version_4_cli(
     GPT_model_path = "GPT_SoVITS/pretrained_models/kurari-e40.ckpt",