Issues for gradio

[ashutoshbk]

python gradio_demo.py --trex2_api_token 328483asjdfhsa

Note: this token number is fake, I am using real one

when i draw bouding box and click on Run T-Rext then follwing error is occurs

`(t_rex) C:\Users\ashut\Documents\Work\T-Rex\T-Rex>python gradio_demo.py --trex2_api_token 328483asjdfhsa
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
IMPORTANT: You are using gradio version 4.22.0, however version 4.29.0 is available, please upgrade.

IMPORTANT: You are using gradio version 4.22.0, however version 4.29.0 is available, please upgrade.

IMPORTANT: You are using gradio version 4.22.0, however version 4.29.0 is available, please upgrade.

Exception in callback _ProactorBasePipeTransport._call_connection_lost(None)
handle: <Handle _ProactorBasePipeTransport._call_connection_lost(None)>
Traceback (most recent call last):
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\asyncio\events.py", line 81, in _run
self._context.run(self._callback, *self._args)
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\asyncio\proactor_events.py", line 162, in _call_connection_lost
self._sock.shutdown(socket.SHUT_RDWR)
ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host
Traceback (most recent call last):
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\site-packages\gradio\queueing.py", line 501, in call_prediction
output = await route_utils.call_process_api(
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\site-packages\gradio\route_utils.py", line 258, in call_process_api
output = await app.get_blocks().process_api(
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\site-packages\gradio\blocks.py", line 1710, in process_api
result = await self.call_function(
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\site-packages\gradio\blocks.py", line 1250, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\site-packages\anyio_backends_asyncio.py", line 2177, in run_sync_in_worker_thread
return await future
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\site-packages\anyio_backends_asyncio.py", line 859, in run
result = context.run(func, *args)
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\site-packages\gradio\utils.py", line 693, in wrapper
response = f(*args, **kwargs)
File "gradio_demo.py", line 293, in inference
trex2_results = trex2.interactve_inference([prompts])
File "C:\Users\ashut\Documents\Work\T-Rex\T-Rex\trex\model_wrapper.py", line 91, in interactve_inference
image=self.get_image_url(prompt["prompt_image"]),
File "C:\Users\ashut\Documents\Work\T-Rex\T-Rex\trex\model_wrapper.py", line 357, in get_image_url
url = self.client.upload_file(tmp_file_path)
File "C:\Users\ashut\Anaconda3\envs\t_rex\lib\site-packages\dds_cloudapi_sdk\client.py", line 76, in upload_file
with open(local_path, "rb") as fp:
PermissionError: [Errno 13] Permission denied: 'C:\Users\ashut\AppData\Local\Temp\tmpzy8utpaz.png'
`

[Mountchicken]

This indicates that the program cannot access the temp image. You can change the temp file path to somewhere with read permission
https://github.com/IDEA-Research/T-Rex/blob/trex2/trex/model_wrapper.py#L351-L358

[ashutoshbk]

Okay, Thanks. I will check

[ashutoshbk]

Thank you @Mountchicken , It's working now properly. If you don't mind can you tell me which dataset you used to train T-Rex?

[Mountchicken]

it's listed in the paper