Update inference_gradio.py

inference_gradio.py

@@ -37,16 +37,16 @@ REPO_ROOT = Path(__file__).resolve().parent
 
 # HF location for pretrained assets (used as a fallback when local files are missing)
 HF_PRETRAINED_ROOT = "hf://LEMAS-Project/LEMAS-TTS/pretrained_models"
-CKPTS_ROOT = HF_PRETRAINED_ROOT / "ckpts"
+CKPTS_ROOT = os.path.join(HF_PRETRAINED_ROOT, "ckpts")
 
 # 1) 指向你仓库里的 libespeak-ng.so
-ESPEAK_LIB = HF_PRETRAINED_ROOT / "espeak-ng-lib" / "libespeak-ng.so"
+ESPEAK_LIB = os.path.join(HF_PRETRAINED_ROOT, "espeak-ng-lib", "libespeak-ng.so")
 os.environ["PHONEMIZER_ESPEAK_LIBRARY"] = str(ESPEAK_LIB)
 
 # 2) 指向你仓库里的 espeak-ng-data
-ESPEAK_DATA_DIR = HF_PRETRAINED_ROOT / "espeak-ng-data"
-os.environ["ESPEAK_DATA_PATH"] = str(ESPEAK_DATA_DIR)
-os.environ["ESPEAKNG_DATA_PATH"] = str(ESPEAK_DATA_DIR)
+ESPEAK_DATA_DIR = os.path.join(HF_PRETRAINED_ROOT, "espeak-ng-data")
+os.environ["ESPEAK_DATA_PATH"] = ESPEAK_DATA_DIR
+os.environ["ESPEAKNG_DATA_PATH"] = ESPEAK_DATA_DIR
 
 
 class UVR5:
@@ -88,8 +88,8 @@ class UVR5:
         return output_audio.squeeze().T.numpy(), 44100
 
 denoise_model = UVR5(
-    model_dir=HF_PRETRAINED_ROOT / "uvr5",
-    code_dir=REPO_ROOT / "uvr5",
+    model_dir=os.path.join(HF_PRETRAINED_ROOT, "uvr5"),
+    code_dir=str(REPO_ROOT / "uvr5"),
 )
 
 def load_wav(audio_info, sr=16000, channel=1):
@@ -479,13 +479,13 @@ with gr.Blocks(title="LEMAS-TTS Inference") as app:
 
     # Examples
     def _resolve_example(name: str) -> str:
-        local = HF_PRETRAINED_ROOT / "data" / "test_examples" / name
-        if local.is_file():
-            return str(local)
+        local = os.path.join(HF_PRETRAINED_ROOT, "data", "test_examples", name)
+        if os.path.isfile(local):
+            return local
         remote_map = {
-            "en.wav": f"{HF_PRETRAINED_ROOT}/data/test_examples/en.wav",
-            "es.wav": f"{HF_PRETRAINED_ROOT}/data/test_examples/es.wav",
-            "pt.wav": f"{HF_PRETRAINED_ROOT}/data/test_examples/pt.wav",
+            "en.wav": os.path.join(HF_PRETRAINED_ROOT, "data", "test_examples", "en.wav"),
+            "es.wav": os.path.join(HF_PRETRAINED_ROOT, "data", "test_examples", "es.wav"),
+            "pt.wav": os.path.join(HF_PRETRAINED_ROOT, "data", "test_examples", "pt.wav"),
         }
         url = remote_map.get(name)
         return str(cached_path(url)) if url is not None else ""
@@ -596,7 +596,7 @@ def main(port, host, share, api):
         server_port=port,
         share=share,
         show_api=api,
-        allowed_paths=[str(HF_PRETRAINED_ROOT / "data")],
+        allowed_paths=[str(os.path.join(HF_PRETRAINED_ROOT, "data"))],
     )