lenML · WLimin · Jul 30, 2025 · zhzLuke96 · Jul 30, 2025 · WLimin
diff --git a/modules/api/Api.py b/modules/api/Api.py
@@ -98,7 +98,7 @@ async def _set_cors_headers(response: Response, origin: str = None):
             if allow_credentials:
                 response.headers["Access-Control-Allow-Credentials"] = "true"
 
-        @self.app.middleware("http")
+#         @self.app.middleware("http")
         async def cors_handler(request: Request, call_next):
             response: Response = await call_next(request)
 

diff --git a/modules/config.py b/modules/config.py
@@ -1,3 +1,4 @@
+import os
 import sys
 
 import torch
@@ -17,9 +18,9 @@
         "python_version": ".".join([str(x) for x in sys.version_info[0:3]]),
         "torch_version": getattr(torch, "__long_version__", torch.__version__),
         # "gradio_version":gr.__version__,
-        "git_tag": git.git_tag(),
-        "git_branch": git.branch_name(),
-        "git_commit": git.commit_hash(),
+        "git_tag": os.environ.get("V_GIT_TAG") or git.git_tag(),
+        "git_branch": os.environ.get("V_GIT_BRANCH") or git.branch_name(),
+        "git_commit": os.environ.get("V_GIT_COMMIT") or git.commit_hash(),
         "ffmpeg_version": ffmpeg.ffmpeg_version(),
     }
 )
diff --git a/modules/core/models/tts/CosyVoiceModel.py b/modules/core/models/tts/CosyVoiceModel.py
@@ -100,7 +100,7 @@ def load(
             # instruct = True if "-Instruct" in str(model_dir) else False
             instruct = True
 
-            with open(model_dir / "cosyvoice.yaml", "r") as f:
+            with open(model_dir / "cosyvoice2.yaml", "r") as f:
                 configs = load_hyperpyyaml(f, overrides=self.hp_overrides)
 
             frontend = CosyVoiceFrontEnd(

diff --git a/modules/core/pipeline/factory.py b/modules/core/pipeline/factory.py
@@ -120,7 +120,7 @@ def create(cls, ctx: TTSPipelineContext) -> TTSPipeline:
             return cls.create_fishspeech_pipeline(ctx)
         elif model_id == "cosyvoice":
             return cls.create_cosyvoice_pipeline(ctx)
-        elif model_id == "firered":
+        elif model_id == "fireredtts":
             return cls.create_fire_red_tts_pipeline(ctx)
         elif model_id == "f5" or model_id == "f5tts":
             return cls.create_f5_tts_pipeline(ctx)

diff --git a/modules/devices/devices.py b/modules/devices/devices.py
@@ -201,9 +201,14 @@ def get_cpu_memory():
 
 
 def get_gpu_memory():
-    total_memory = torch.cuda.get_device_properties(0).total_memory
-    reserved_memory = torch.cuda.memory_reserved(0)
-    allocated_memory = torch.cuda.memory_allocated(0)
+    if torch.cuda.is_available():
+        total_memory = torch.cuda.get_device_properties(0).total_memory
+        reserved_memory = torch.cuda.memory_reserved(0)
+        allocated_memory = torch.cuda.memory_allocated(0)
+    else:
+        total_memory = 0
+        reserved_memory = 0
+        allocated_memory = 0
     free_memory = total_memory - reserved_memory
     return MemUsage(
         device=cuda,

diff --git a/modules/repos_static/ChatTTS/ChatTTS/core.py b/modules/repos_static/ChatTTS/ChatTTS/core.py
@@ -63,7 +63,7 @@ def download_models(
         self,
         source: Literal["huggingface", "local", "custom"] = "local",
         force_redownload=False,
-        custom_path: Optional[torch.serialization.FILE_LIKE] = None,
+        custom_path: Optional[torch.serialization.FileLike] = None,
     ) -> Optional[str]:
         if source == "local":
             download_path = os.getcwd()
@@ -121,7 +121,7 @@ def load(
         source: Literal["huggingface", "local", "custom"] = "local",
         force_redownload=False,
         compile: bool = False,
-        custom_path: Optional[torch.serialization.FILE_LIKE] = None,
+        custom_path: Optional[torch.serialization.FileLike] = None,
         device: Optional[torch.device] = None,
         coef: Optional[torch.Tensor] = None,
         use_flash_attn=False,

diff --git a/modules/repos_static/ChatTTS/ChatTTS/model/tokenizer.py b/modules/repos_static/ChatTTS/ChatTTS/model/tokenizer.py
@@ -16,7 +16,7 @@
 class Tokenizer:
     def __init__(
         self,
-        tokenizer_path: torch.serialization.FILE_LIKE,
+        tokenizer_path: torch.serialization.FileLike,
     ):
         """
         tokenizer: BertTokenizerFast = torch.load(

diff --git a/modules/repos_static/FireRedTTS/fireredtts/modules/codec/speaker.py b/modules/repos_static/FireRedTTS/fireredtts/modules/codec/speaker.py
@@ -1037,7 +1037,7 @@ def __init__(self, ckpt_path, device="cuda"):
             global_context=True,
             batch_norm=True,
         )
-        model.load_state_dict(torch.load(ckpt_path), strict=True)
+        model.load_state_dict(torch.load(ckpt_path, map_location=torch.device(device)), strict=True)
         model.eval()
         self.model = model
         self.model.to(device)

diff --git a/modules/repos_static/GPT_SoVITS/GPT_SoVITS/text/LangSegmenter/langsegmenter.py b/modules/repos_static/GPT_SoVITS/GPT_SoVITS/text/LangSegmenter/langsegmenter.py
@@ -12,7 +12,7 @@
 
 fast_langdetect.infer._default_detector = fast_langdetect.infer.LangDetector(
     fast_langdetect.infer.LangDetectConfig(
-        cache_dir=Path(__file__).parent.parent.parent / "pretrained_models" / "fast_langdetect"
+        cache_dir="models/gpt_sovits_v4/fast_langdetect"
     )
 )