nvidia-riva / nvidia-riva/python-clients
Method not found
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- Dominant language
- Python
- Stars
- 142
- Forks
- 52
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Description
Hello, I am following the ASR tutorial using Python and Riva from NVIDIA tutorial asr on a Mac OS system and using Jupyter Notebook.
However, I am encountering an issue with the offline_recognize function:
response = asr_service.offline_recognize(data, offline_config)
I am getting the following error:
---------------------------------------------------------------------------
_InactiveRpcError Traceback (most recent call last)
Cell In[10], line 1
----> 1 response = asr_service.offline_recognize(data, offline_config)
File /usr/local/lib/python3.11/site-packages/riva/client/asr.py:380, in ASRService.offline_recognize(self, audio_bytes, config, future)
378 request = rasr.RecognizeRequest(config=config, audio=audio_bytes)
379 func = self.stub.Recognize.future if future else self.stub.Recognize
--> 380 return func(request, metadata=self.auth.get_auth_metadata())
File /usr/local/lib/python3.11/site-packages/grpc/_channel.py:1161, in _UnaryUnaryMultiCallable.__call__(self, request, timeout, metadata, credentials, wait_for_ready, compression)
1146 def __call__(
1147 self,
1148 request: Any,
(...)
1153 compression: Optional[grpc.Compression] = None,
1154 ) -> Any:
1155 (
1156 state,
1157 call,
1158 ) = self._blocking(
1159 request, timeout, metadata, credentials, wait_for_ready, compression
1160 )
-> 1161 return _end_unary_response_blocking(state, call, False, None)
File /usr/local/lib/python3.11/site-packages/grpc/_channel.py:1004, in _end_unary_response_blocking(state, call, with_call, deadline)
1002 return state.response
1003 else:
-> 1004 raise _InactiveRpcError(state)
_InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
status = StatusCode.UNIMPLEMENTED
details = "Method not found!"
debug_error_string = "UNKNOWN:Error received from peer {created_time:"2023-11-16T10:57:11.537789+07:00", grpc_status:12, grpc_message:"Method not found!"}"
server.py
import asyncio
import grpc
import sample_pb2
import sample_pb2_grpc
from grpc_reflection.v1alpha import reflection
class GreeterServicer(sample_pb2_grpc.GreeterServicer):
async def SayHello(self, request, context):
return sample_pb2.HelloReply(message=f"Hello, {request.name}!")
async def serve():
server = grpc.aio.server()
# Enable reflection
SERVICE_NAMES = (
sample_pb2.DESCRIPTOR.services_by_name['Greeter'].full_name,
reflection.SERVICE_NAME,
)
reflection.enable_server_reflection(SERVICE_NAMES, server)
sample_pb2_grpc.add_GreeterServicer_to_server(GreeterServicer(), server)
server.add_insecure_port("[::]:50051")
print("Server started on port 50051")
await server.start()
await server.wait_for_termination()
if __name__ == "__main__":
asyncio.run(serve())
Are there any suggestions or specific solutions to address this issue, especially considering the use of Mac OS and Jupyter Notebook?"
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading tutorials/ASR.ipynb and the offline_recognize call, then compare it with the supplied server.py and the gRPC service and method it registers. Reproduce the UNIMPLEMENTED “Method not found!” response in the stated Python 3.11/Jupyter setup; done means identifying a supported configuration or documenting the required change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- grpc, jupyter-notebook, macos, python
- Domain
- api, backend
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100