optim app.py

README.md

@@ -238,8 +238,8 @@ voxcpm --help
 
 ### Web Demo
 
-```bash                        
+```bash
-python app.py --model-dir /path/to/VoxCPM2 --port 8808  # use a local model directory, open http://localhost:8808
+python app.py --port 8808  # then open in browser: http://localhost:8808
 ```
 
 ### 🚢 Production Deployment (Nano-vLLM)

README_zh.md

@@ -238,7 +238,7 @@ voxcpm --help
 ### Web Demo
 
 ```bash
-python app.py --model-dir /path/to/VoxCPM2 --port 8808  # 指定本地模型路径，然后打开 http://localhost:8808
+python app.py --port 8808  # 然后在浏览器打开 http://localhost:8808
 ```
 
 ### 🚢 生产部署（Nano-vLLM）

app.py

@@ -9,8 +9,6 @@ from funasr import AutoModel
 from pathlib import Path
 
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
-if os.environ.get("HF_REPO_ID", "").strip() == "":
-    os.environ["HF_REPO_ID"] = "openbmb/VoxCPM2"
 
 import voxcpm
 
@@ -221,7 +219,7 @@ _APP_THEME = gr.themes.Soft(
 # ---------- Model ----------
 
 class VoxCPMDemo:
-    def __init__(self, model_dir: Optional[str] = None) -> None:
+    def __init__(self, model_id: str = "openbmb/VoxCPM2") -> None:
         self.device = "cuda" if torch.cuda.is_available() else "cpu"
         logger.info(f"Running on device: {self.device}")
 
@@ -234,36 +232,13 @@ class VoxCPMDemo:
         )
 
         self.voxcpm_model: Optional[voxcpm.VoxCPM] = None
-        self.explicit_model_dir = model_dir
+        self._model_id = model_id
-
-    def _resolve_model_dir(self) -> str:
-        if self.explicit_model_dir and os.path.isdir(self.explicit_model_dir):
-            return self.explicit_model_dir
-        env_model_dir = os.environ.get("VOXCPM_MODEL_DIR", "").strip()
-        if env_model_dir and os.path.isdir(env_model_dir):
-            return env_model_dir
-        repo_id = os.environ.get("HF_REPO_ID", "").strip()
-        if len(repo_id) > 0:
-            target_dir = os.path.join("models", repo_id.replace("/", "__"))
-            if not os.path.isdir(target_dir):
-                try:
-                    from huggingface_hub import snapshot_download
-                    os.makedirs(target_dir, exist_ok=True)
-                    logger.info(f"Downloading model from HF repo '{repo_id}' to '{target_dir}' ...")
-                    snapshot_download(repo_id=repo_id, local_dir=target_dir, local_dir_use_symlinks=False)
-                except Exception as e:
-                    logger.warning(f"HF download failed: {e}. Falling back to 'models'.")
-                    return "models"
-            return target_dir
-        return "models"
 
     def get_or_load_voxcpm(self) -> voxcpm.VoxCPM:
         if self.voxcpm_model is not None:
             return self.voxcpm_model
-        logger.info("Model not loaded, initializing...")
+        logger.info(f"Loading model: {self._model_id}")
-        model_dir = self._resolve_model_dir()
+        self.voxcpm_model = voxcpm.VoxCPM.from_pretrained(self._model_id, optimize=True)
-        logger.info(f"Using model dir: {model_dir}")
-        self.voxcpm_model = voxcpm.VoxCPM(voxcpm_model_path=model_dir, optimize=True)
         logger.info("Model loaded successfully.")
         return self.voxcpm_model
 
@@ -507,9 +482,9 @@ def run_demo(
     server_name: str = "0.0.0.0",
     server_port: int = 8808,
     show_error: bool = True,
-    model_dir: Optional[str] = None,
+    model_id: str = "openbmb/VoxCPM2",
 ):
-    demo = VoxCPMDemo(model_dir=model_dir)
+    demo = VoxCPMDemo(model_id=model_id)
     interface = create_demo_interface(demo)
     interface.queue(max_size=10, default_concurrency_limit=1).launch(
         server_name=server_name,
@@ -524,7 +499,10 @@ def run_demo(
 if __name__ == "__main__":
     import argparse
     parser = argparse.ArgumentParser()
-    parser.add_argument("--model-dir", type=str, default=None, help="Path to VoxCPM2 checkpoint directory")
+    parser.add_argument(
+        "--model-id", type=str, default="openbmb/VoxCPM2",
+        help="Local path or HuggingFace repo ID (default: openbmb/VoxCPM2)",
+    )
     parser.add_argument("--port", type=int, default=8808, help="Server port")
     args = parser.parse_args()
-    run_demo(model_dir=args.model_dir, server_port=args.port)
+    run_demo(model_id=args.model_id, server_port=args.port)