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If I run the app through a Docker container the app fails with get the following error message when I try to visualize any dataset. If I run the app outside the docker container it works fine.
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Traceback (most recent call last):
File "/home/user/.local/lib/python3.11/site-packages/gradio/queueing.py", line 527, in process_events
response = await route_utils.call_process_api(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/gradio/route_utils.py", line 261, in call_process_api
output = await app.get_blocks().process_api(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/gradio/blocks.py", line 1788, in process_api
result = await self.call_function(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/gradio/blocks.py", line 1340, in call_function
prediction = await anyio.to_thread.run_sync(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 2144, in run_sync_in_worker_thread
return await future
^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/anyio/_backends/_asyncio.py", line 851, in run
result = context.run(func, *args)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/gradio/utils.py", line 759, in wrapper
response = f(*args, **kwargs)
^^^^^^^^^^^^^^^^^^
File "/home/user/app/app.py", line 53, in show_dataset
dataset = load_dataset(dataset_id, split="train", streaming=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/load.py", line 2587, in load_dataset
builder_instance = load_dataset_builder(
^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/load.py", line 2259, in load_dataset_builder
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/load.py", line 1910, in dataset_module_factory
raise e1 from None
File "/home/user/.local/lib/python3.11/site-packages/datasets/load.py", line 1892, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/load.py", line 1237, in get_module
dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/info.py", line 464, in from_dataset_card_data
dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/info.py", line 395, in _from_yaml_dict
yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/features/features.py", line 1910, in _from_yaml_list
return cls.from_dict(from_yaml_inner(yaml_data))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/features/features.py", line 1750, in from_dict
obj = generate_from_dict(dic)
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/features/features.py", line 1392, in generate_from_dict
return {key: generate_from_dict(value) for key, value in obj.items()}
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/features/features.py", line 1392, in <dictcomp>
return {key: generate_from_dict(value) for key, value in obj.items()}
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.11/site-packages/datasets/features/features.py", line 1398, in generate_from_dict
raise ValueError(f"Feature type '{_type}' not found. Available feature types: {list(_FEATURE_TYPES.keys())}")
ValueError: Feature type 'VideoFrame' not found. Available feature types: ['Value', 'ClassLabel', 'Translation', 'TranslationVariableLanguages', 'Sequence', 'Array2D', 'Array3D', 'Array4D', 'Array5D', 'Audio', 'Image']
Steps to reproduce
git clone https://github.com/rerun-io/python-example-huggingface/
cd python-example-huggingface
docker build . -t example-huggingface
docker run --rm --net=host example-huggingface
Then go to 0.0.0.0:7860, select lerobot/pusht, episode index 1 and click on "Show dataset"
The text was updated successfully, but these errors were encountered:
If I run the app through a Docker container the app fails with get the following error message when I try to visualize any dataset. If I run the app outside the docker container it works fine.
Steps to reproduce
Then go to 0.0.0.0:7860, select lerobot/pusht, episode index 1 and click on "Show dataset"
The text was updated successfully, but these errors were encountered: