chore: import upstream snapshot with attribution

tests/test_cli.py

@@ -0,0 +1,41 @@
+import io
+import sys
+import types
+from contextlib import redirect_stdout
+from unittest.mock import patch
+
+from funasr import cli
+
+
+class DummyAutoModel:
+    instances = []
+
+    def __init__(self, **kwargs):
+        self.kwargs = kwargs
+        self.instances.append(self)
+
+    def generate(self, **kwargs):
+        return [{"text": "hello"}]
+
+
+def test_cli_passes_hub_to_auto_model(tmp_path):
+    audio_path = tmp_path / "sample.wav"
+    audio_path.write_bytes(b"not a real wav")
+    fake_torch = types.SimpleNamespace(
+        cuda=types.SimpleNamespace(is_available=lambda: False),
+    )
+
+    DummyAutoModel.instances = []
+    argv = ["funasr", "--hub", "hf", str(audio_path)]
+
+    with (
+        patch.object(sys, "argv", argv),
+        patch.dict(sys.modules, {"torch": fake_torch}),
+        patch("funasr.AutoModel", DummyAutoModel),
+        redirect_stdout(io.StringIO()) as stdout,
+    ):
+        cli.main()
+
+    assert DummyAutoModel.instances[0].kwargs["hub"] == "hf"
+    assert stdout.getvalue().strip() == "hello"
+