Kamal Moha

Getting this same error; **TypeError: BaseModel.fuse() got an unexpected keyword argument 'verbose'** I have trained a custom Dataset on YOLOv9 following the official colab notebook. After training, I wanted to...

Hi @zifeiYv, yes you're right `localhost` points to my local environment while Google colab is pointing to Google servers. But after intensive research, I have managed to expose my local...

Hi @willsmanley, I have used your solution(with minor edits) to upload the recording of the session to Google Cloud Storage(GCPUpload). ``` track_egress_request = TrackEgressRequest( room_name=room_name, track_id=track_id, file=livekit.api.DirectFileOutput( filepath=f"{room_name}/agent-{unique_time}.ogg", gcp=livekit.api.GCPUpload( credentials=file_contents,...

@DouweM As suggested, I have now used `_is_text_like_media_type` and `_inline_text_file_part` in `DocumentUrl` and `BinaryContent`. Check now

@DouweM I have already implemented the suggestion in https://github.com/pydantic/pydantic-ai/pull/3269/files#r2471009741 which is about having the method `_is_text_like_media_type` in `BinaryContent` and `DocumentUrl`.I have already done that, please double check. If not satisfied,...

@DouweM Please guide me on how to successfully test the function `test_google_model_json_document_url_input` in `tests/models/test_google.py` I'm a little unclear on how to run the test for that function and how to...

@DouweM In my latest commit, I have modified `messages.py`, `google.py` and `openai.py`. I'm happy to share that now both openai and google models can understand/interpret JSON documents using `DocumentUrl`. I'm...