Fix integration CI: use HuggingFace hub, increase timeout

- Auto-detect CI environment and use HuggingFace instead of ModelScope
  (GitHub Actions has better connectivity to HuggingFace)
- Increase load_model RPC timeout from 300s to 600s
- Locally still defaults to ModelScope for China users

Generated with [Claude Code](https://claude.ai/code)
via [Happy](https://happy.engineering)

Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>

Author: 3 people

src/funasr_server/client.py

@@ -223,7 +223,7 @@ def load_model(
             params["spk_model"] = spk_model
         if device:
             params["device"] = device
-        return self._rpc_call("load_model", params, timeout=300)
+        return self._rpc_call("load_model", params, timeout=600)
 
     def unload_model(self, name: str = "default") -> dict:
         """Unload a model and free memory."""

tests/test_integration.py

@@ -15,6 +15,7 @@
 """
 
 import math
+import os
 import struct
 import tempfile
 import wave
@@ -24,6 +25,9 @@
 
 from funasr_server import FunASR
 
+# Use HuggingFace in CI (GitHub Actions), ModelScope locally (China)
+_HUB = "hf" if os.environ.get("CI") else "ms"
+
 
 # Mark all tests in this module as integration tests
 pytestmark = pytest.mark.integration
@@ -110,6 +114,7 @@ def test_load_vad_model(self, client):
         result = client.load_model(
             model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
             name="vad",
+            hub=_HUB,
         )
         assert result["status"] == "loaded"
         assert result["name"] == "vad"
@@ -169,6 +174,7 @@ def test_load_asr_model(self, client):
         result = client.load_model(
             model="iic/SenseVoiceSmall",
             name="asr",
+            hub=_HUB,
         )
         assert result["status"] == "loaded"
         assert result["name"] == "asr"