Fix torch.load compatibility and pin Python 3.10 for HF Space

- Add weights_only=False to torch.load (required since PyTorch 2.6)
- Set python_version: "3.10" in Space config to avoid Python 3.13
compatibility issues with gradio/huggingface_hub

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

README.md

@@ -5,6 +5,7 @@ colorFrom: blue
 colorTo: green
 sdk: gradio
 sdk_version: "4.44.0"
+python_version: "3.10"
 app_file: app.py
 pinned: false
 license: mit

inference/pipeline.py

@@ -424,7 +424,7 @@ def _load_weights(model: torch.nn.Module,
                 f"  Error: {e}"
             )
 
-    state_dict = torch.load(weights_path, map_location='cpu')
+    state_dict = torch.load(weights_path, map_location='cpu', weights_only=False)
     # Filter out training-only keys (e.g. ManifoldMixup), same logic as backend.py
     model_dict = model.state_dict()
     filtered = {k: v for k, v in state_dict.items()

push_hf_space.sh

@@ -30,6 +30,7 @@ if ! git lfs version >/dev/null 2>&1; then
   exit 1
 fi
 git lfs install
+git config lfs.https://hf.co/spaces/yxdong0320/SELD_Streaming_RC_demo.git/info/lfs.locksverify false
 
 echo "==> Updating ignore rules..."
 touch .gitignore