Kernel dies when importing spacy on HuggingFace Spaces

[anammari]

How to reproduce the behaviour

import spacy

Your Environment

• Operating System: Linux as a Docker container
• Python Version Used: 3.10
• spaCy Version Used: tried 3.5.0 and 3.5.3
• Environment Information: HuggingFace Space
• Dockerfile to build the image: Dockerfile

Additional info

Running "!pip show spacy" in Jupyter works fine and produces the following output:

Name: spacy
Version: 3.5.0
Summary: Industrial-strength Natural Language Processing (NLP) in Python
Home-page: https://spacy.io/
Author: Explosion
Author-email: [[email protected]](mailto:[email protected])
License: MIT
Location: /home/jovyan/.local/lib/python3.10/site-packages
Requires: catalogue, cymem, jinja2, langcodes, murmurhash, numpy, packaging, pathy, preshed, pydantic, requests, setuptools, smart-open, spacy-legacy, spacy-loggers, srsly, thinc, tqdm, typer, wasabi
Required-by:

HuggingFace Space build logs:

===== Build Queued at 2023-05-23 02:19:32 / Commit SHA: 401d51e =====

--> FROM docker.io/jupyter/base-notebook@sha256:8afc52876bd43ac19e8c9eec47d4bde9459e9c03f6375e839edea4fb5424fbef
DONE 0.0s

--> RUN python3 -m pip install --user --no-cache-dir --upgrade pip &&     conda install -c conda-forge sentencepiece==0.1.95 &&     python3 -m pip install --user --no-cache-dir -r requirements.txt &&     python3 -m pip install --user --no-cache-dir --force-reinstall spacy==3.5.0
CACHED

--> COPY requirements.txt .
CACHED

--> COPY --from=builder /home/jovyan/.local/ /home/jovyan/.local
DONE 55.0s

DONE 69.5s

--> COPY notebooks .
DONE 5.6s

--> COPY docker/run_voila .
DONE 0.0s

--> RUN jupyter nbextension enable --py --sys-prefix widgetsnbextension && jupyter nbextension install --py --symlink --sys-prefix ipympl && jupyter nbextension enable --py --sys-prefix ipympl && jupyter nbextension install --py --symlink --sys-prefix ipysheet && jupyter nbextension enable --py --sys-prefix ipysheet && jupyter nbextension enable --py --sys-prefix voila
Enabling notebook extension jupyter-js-widgets/extension...
      - Validating: OK
Installing /home/jovyan/.local/lib/python3.10/site-packages/ipympl/nbextension -> jupyter-matplotlib
Symlinking: /opt/conda/share/jupyter/nbextensions/jupyter-matplotlib -> /home/jovyan/.local/lib/python3.10/site-packages/ipympl/nbextension
- Validating: OK

    To initialize this nbextension in the browser every time the notebook (or other app) loads:
    
          jupyter nbextension enable ipympl --py --sys-prefix
    
Enabling notebook extension jupyter-matplotlib/extension...
      - Validating: OK
Installing /home/jovyan/.local/lib/python3.10/site-packages/ipysheet/static -> ipysheet
Symlinking: /opt/conda/share/jupyter/nbextensions/ipysheet -> /home/jovyan/.local/lib/python3.10/site-packages/ipysheet/static
- Validating: OK

    To initialize this nbextension in the browser every time the notebook (or other app) loads:
    
          jupyter nbextension enable ipysheet --py --sys-prefix
    
Enabling notebook extension ipysheet/extension...
      - Validating: OK
Enabling notebook extension voila/extension...
      - Validating: OK
DONE 1.9s

--> Pushing image
DONE 7.7s

--> Exporting cache
DONE 5.2s

===== Application Startup at 2023-05-23 02:21:38 =====

nohup: failed to run command './run_voila': Permission denied
/opt/conda/lib/python3.10/site-packages/traitlets/traitlets.py:3437: FutureWarning: --tornado_settings={'headers': {'Content-Security-Policy': 'frame-ancestors *'}} for dict-traits is deprecated in traitlets 5.0. You can pass --tornado_settings <key=value> ... multiple times to add items to a dict.
  warn(
/opt/conda/lib/python3.10/site-packages/traitlets/traitlets.py:3437: FutureWarning: --cookie_options={'SameSite': 'None', 'Secure': True} for dict-traits is deprecated in traitlets 5.0. You can pass --cookie_options <key=value> ... multiple times to add items to a dict.
  warn(
[W 02:23:21.813 NotebookApp] Config option `max_memory` not recognized by `NotebookApp`.
[W 02:23:21.912 NotebookApp] Config option `max_memory` not recognized by `NotebookApp`.
[W 02:23:21.913 NotebookApp] Config option `max_memory` not recognized by `NotebookApp`.
[W 02:23:21.914 NotebookApp] Config option `max_memory` not recognized by `NotebookApp`.
[I 02:23:22.213 NotebookApp] Writing notebook server cookie secret to /home/jovyan/.local/share/jupyter/runtime/notebook_cookie_secret
[W 02:23:34.615 NotebookApp] Loading JupyterLab as a classic notebook (v6) extension.
[W 2023-05-23 02:23:34.712 LabApp] 'ip' has moved from NotebookApp to ServerApp. This config will be passed to ServerApp. Be sure to update your config before our next release.
[W 2023-05-23 02:23:34.712 LabApp] 'port' has moved from NotebookApp to ServerApp. This config will be passed to ServerApp. Be sure to update your config before our next release.
[W 2023-05-23 02:23:34.712 LabApp] 'token' has moved from NotebookApp to ServerApp. This config will be passed to ServerApp. Be sure to update your config before our next release.
[W 02:23:34.712 NotebookApp] Error loading server extension jupyterlab
    Traceback (most recent call last):
      File "/opt/conda/lib/python3.10/site-packages/notebook/notebookapp.py", line 2050, in init_server_extensions
        func(self)
      File "/opt/conda/lib/python3.10/site-packages/jupyterlab/serverextension.py", line 32, in load_jupyter_server_extension
        extension.update_config(serverapp.config)
      File "/opt/conda/lib/python3.10/site-packages/notebook_shim/shim.py", line 141, in update_config
        shimmed_config = self.shim_config_from_notebook_to_jupyter_server(
      File "/opt/conda/lib/python3.10/site-packages/notebook_shim/shim.py", line 232, in shim_config_from_notebook_to_jupyter_server
        raise TraitError("Trait, {}, not found.".format(trait_name))
    traitlets.traitlets.TraitError: Trait, max_memory, not found.
[I 02:23:36.917 NotebookApp] Serving notebooks from local directory: /home/jovyan
[I 02:23:36.917 NotebookApp] Jupyter Notebook 6.5.4 is running at:
[I 02:23:36.917 NotebookApp] http://s-aammari-jupyter-stacks-voila-89e97-596c65c968-gljn2:7860/?token=...
[I 02:23:36.917 NotebookApp]  or http://127.0.0.1:7860/?token=...
[I 02:23:36.917 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[W 02:24:58.143 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:24:58.143 NotebookApp] Forbidden
[W 02:24:58.143 NotebookApp] 403 GET /api/sessions?_=1684808375088 (10.16.30.23) 1.070000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[W 02:24:58.144 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:24:58.144 NotebookApp] Forbidden
[W 02:24:58.144 NotebookApp] 403 GET /api/terminals?_=1684808375089 (10.16.32.186) 0.530000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[W 02:25:57.696 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:25:57.696 NotebookApp] Forbidden
[W 02:25:57.696 NotebookApp] 403 GET /api/sessions?_=1684808375090 (10.16.32.186) 0.950000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[W 02:25:57.697 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:25:57.697 NotebookApp] Forbidden
[W 02:25:57.697 NotebookApp] 403 GET /api/terminals?_=1684808375091 (10.16.32.186) 0.600000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[W 02:26:57.692 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:26:57.693 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:26:57.693 NotebookApp] Forbidden
[W 02:26:57.693 NotebookApp] 403 GET /api/terminals?_=1684808375093 (10.16.30.23) 1.180000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[W 02:26:57.693 NotebookApp] Forbidden
[W 02:26:57.693 NotebookApp] 403 GET /api/sessions?_=1684808375092 (10.16.30.23) 0.870000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[W 02:27:57.691 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:27:57.691 NotebookApp] Forbidden
[W 02:27:57.692 NotebookApp] 403 GET /api/sessions?_=1684808375094 (10.16.32.186) 1.140000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[W 02:27:57.692 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:27:57.692 NotebookApp] Forbidden
[W 02:27:57.692 NotebookApp] 403 GET /api/terminals?_=1684808375095 (10.16.30.23) 0.630000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[W 02:28:41.199 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:28:41.199 NotebookApp] Forbidden
[W 02:28:41.199 NotebookApp] 403 GET /api/sessions?_=1684808375096 (10.16.30.23) 0.980000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[W 02:28:41.200 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:28:41.200 NotebookApp] Forbidden
[W 02:28:41.200 NotebookApp] 403 GET /api/terminals?_=1684808375097 (10.16.30.23) 0.590000ms referer=https://aammari-jupyter-stacks-voila.hf.space/tree?__theme=light
[I 02:28:45.622 NotebookApp] 302 GET /?__theme=light (10.16.32.186) 0.550000ms
[W 02:28:45.846 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:28:45.847 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[I 02:28:45.847 NotebookApp] 302 GET /tree?__theme=light (10.16.30.23) 0.900000ms
[W 02:28:46.075 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:28:46.075 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:28:46.075 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:28:46.558 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:28:46.809 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:28:51.803 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[W 02:28:51.803 NotebookApp] Clearing invalid/expired login cookie username-aammari-jupyter-stacks-voila-hf-space
[I 02:28:51.804 NotebookApp] 302 POST /login?next=%2Ftree%3F__theme%3Dlight (10.16.32.186) 1.060000ms
[I 02:31:29.017 NotebookApp] Writing notebook-signing key to /home/jovyan/.local/share/jupyter/notebook_secret
[W 02:31:29.018 NotebookApp] Notebook zero-shot-classification-pbsp-page4-smart-demo-trainer-eval-hf.ipynb is not trusted
[W 02:31:29.019 NotebookApp] Could not find a kernel named 'argilla', will use  'python3'
[I 02:31:29.223 NotebookApp] Kernel started: 13ad2aa2-09c8-44f5-a4f2-534afb2f075a, name: python3
[E 02:32:23.412 NotebookApp] Kernel died while waiting for execute reply.
[E 02:32:23.413 NotebookApp] Error at server while executing cell: {'cell_type': 'code', 'execution_count': 1, 'id': 'a8d844ea', 'metadata': {'hide_input': False, 'trusted': False, 'execution': {'iopub.status.busy': '2023-05-23T02:31:46.013612Z', 'iopub.execute_input': '2023-05-23T02:31:46.013759Z'}}, 'outputs': [], 'source': "import os\nfrom ipywidgets import interact\nimport ipywidgets as widgets\nfrom IPython.display import display, clear_output, Javascript, HTML, Markdown\nimport matplotlib.pyplot as plt\nimport matplotlib.ticker as mtick\nimport json\nimport spacy\nfrom spacy import displacy\nimport nltk\nfrom nltk import sent_tokenize\nfrom sklearn.feature_extraction import text\nfrom pprint import pprint\nimport re\nfrom sentence_transformers import SentenceTransformer, util\nimport pandas as pd\nimport argilla as rg\nfrom argilla.metrics.text_classification import f1\nfrom argilla.training import ArgillaTrainer\nfrom setfit import SetFitModel\nimport joblib\nimport random\nfrom typing import Dict\nimport warnings\nwarnings.filterwarnings('ignore')\n%matplotlib inline\nfrom tqdm import tqdm\nimport time\nfor i in tqdm(range(75), disable=True):\n    time.sleep(1)"}
    Traceback (most recent call last):
      File "/home/jovyan/.local/lib/python3.10/site-packages/voila/notebook_renderer.py", line 263, in _jinja_cell_generator
        output_cell = await self.executor.execute_cell(
      File "/home/jovyan/.local/lib/python3.10/site-packages/voila/execute.py", line 69, in execute_cell
        result = await self.async_execute_cell(cell, cell_index, store_history)
      File "/opt/conda/lib/python3.10/site-packages/nbclient/client.py", line 1005, in async_execute_cell
        raise DeadKernelError("Kernel died") from None
    nbclient.exceptions.DeadKernelError: Kernel died
[I 02:32:23.416 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports
[E 02:32:36.213 NotebookApp] Error at server while executing cell: {'cell_type': 'code', 'execution_count': 1, 'id': '96b83a1d', 'metadata': {'trusted': False, 'execution': {'iopub.status.busy': '2023-05-23T02:32:33.013738Z', 'iopub.execute_input': '2023-05-23T02:32:33.111517Z', 'shell.execute_reply': '2023-05-23T02:32:36.114112Z', 'iopub.status.idle': '2023-05-23T02:32:36.211595Z'}}, 'outputs': [{'output_type': 'error', 'ename': 'NameError', 'evalue': "name 'SetFitModel' is not defined", 'traceback': ['\x1b[0;31m---------------------------------------------------------------------------\x1b[0m', '\x1b[0;31mNameError\x1b[0m                                 Traceback (most recent call last)', 'Cell \x1b[0;32mIn[1], line 3\x1b[0m\n\x1b[1;32m      1\x1b[0m \x1b[38;5;66;03m#initializations\x1b[39;00m\n\x1b[1;32m      2\x1b[0m model_s_name \x1b[38;5;241m=\x1b[39m \x1b[38;5;124m"\x1b[39m\x1b[38;5;124msetfit-zero-shot-classification-pbsp-p4-specific\x1b[39m\x1b[38;5;124m"\x1b[39m\n\x1b[0;32m----> 3\x1b[0m model_s \x1b[38;5;241m=\x1b[39m \x1b[43mSetFitModel\x1b[49m\x1b[38;5;241m.\x1b[39mfrom_pretrained(\x1b[38;5;124mf\x1b[39m\x1b[38;5;124m"\x1b[39m\x1b[38;5;124maammari/\x1b[39m\x1b[38;5;132;01m{\x1b[39;00mmodel_s_name\x1b[38;5;132;01m}\x1b[39;00m\x1b[38;5;124m"\x1b[39m)\n\x1b[1;32m      4\x1b[0m model_m_name \x1b[38;5;241m=\x1b[39m \x1b[38;5;124m"\x1b[39m\x1b[38;5;124msetfit-zero-shot-classification-pbsp-p4-meas\x1b[39m\x1b[38;5;124m"\x1b[39m\n\x1b[1;32m      5\x1b[0m model_m \x1b[38;5;241m=\x1b[39m SetFitModel\x1b[38;5;241m.\x1b[39mfrom_pretrained(\x1b[38;5;124mf\x1b[39m\x1b[38;5;124m"\x1b[39m\x1b[38;5;124maammari/\x1b[39m\x1b[38;5;132;01m{\x1b[39;00mmodel_m_name\x1b[38;5;132;01m}\x1b[39;00m\x1b[38;5;124m"\x1b[39m)\n', "\x1b[0;31mNameError\x1b[0m: name 'SetFitModel' is not defined"]}], 'source': '#initializations\nmodel_s_name = "setfit-zero-shot-classification-pbsp-p4-specific"\nmodel_s = SetFitModel.from_pretrained(f"aammari/{model_s_name}")\nmodel_m_name = "setfit-zero-shot-classification-pbsp-p4-meas"\nmodel_m = SetFitModel.from_pretrained(f"aammari/{model_m_name}")\nmodel_a_name = "setfit-zero-shot-classification-pbsp-p4-achiev"\nmodel_a = SetFitModel.from_pretrained(f"aammari/{model_a_name}")\nmodel_r_name = "setfit-zero-shot-classification-pbsp-p4-rel"\nmodel_r = SetFitModel.from_pretrained(f"aammari/{model_r_name}")\nmodel_t_name = "setfit-zero-shot-classification-pbsp-p4-time"\nmodel_t = SetFitModel.from_pretrained(f"aammari/{model_t_name}")\n\n# argilla\nrg.init(\n    api_url=os.environ["ARGILLA_API_URL"],\n    api_key=os.environ["ARGILLA_API_KEY"]\n)'}
    Traceback (most recent call last):
      File "/opt/conda/lib/python3.10/asyncio/tasks.py", line 234, in __step
        result = coro.throw(exc)
      File "/opt/conda/lib/python3.10/site-packages/nbclient/client.py", line 778, in _async_poll_for_reply
        msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout))
      File "/opt/conda/lib/python3.10/site-packages/jupyter_core/utils/__init__.py", line 182, in ensure_async
        result = await obj
      File "/home/jovyan/.local/lib/python3.10/site-packages/jupyter_client/channels.py", line 224, in get_msg
        ready = await self.socket.poll(timeout)
      File "/opt/conda/lib/python3.10/asyncio/tasks.py", line 304, in __wakeup
        future.result()
    asyncio.exceptions.CancelledError
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/opt/conda/lib/python3.10/site-packages/nbclient/client.py", line 1001, in async_execute_cell
        exec_reply = await self.task_poll_for_reply
      File "/opt/conda/lib/python3.10/asyncio/futures.py", line 285, in __await__
        yield self  # This tells Task to wait for completion.
      File "/opt/conda/lib/python3.10/asyncio/tasks.py", line 304, in __wakeup
        future.result()
      File "/opt/conda/lib/python3.10/asyncio/futures.py", line 196, in result
        raise exc
    asyncio.exceptions.CancelledError
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/home/jovyan/.local/lib/python3.10/site-packages/voila/notebook_renderer.py", line 263, in _jinja_cell_generator
        output_cell = await self.executor.execute_cell(
      File "/home/jovyan/.local/lib/python3.10/site-packages/voila/execute.py", line 69, in execute_cell
        result = await self.async_execute_cell(cell, cell_index, store_history)
      File "/opt/conda/lib/python3.10/site-packages/nbclient/client.py", line 1058, in async_execute_cell
        await self._check_raise_for_error(cell, cell_index, exec_reply)
      File "/opt/conda/lib/python3.10/site-packages/nbclient/client.py", line 914, in _check_raise_for_error
        raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)
    nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
    ------------------
    #initializations
    model_s_name = "setfit-zero-shot-classification-pbsp-p4-specific"
    model_s = SetFitModel.from_pretrained(f"aammari/{model_s_name}")
    model_m_name = "setfit-zero-shot-classification-pbsp-p4-meas"
    model_m = SetFitModel.from_pretrained(f"aammari/{model_m_name}")
    model_a_name = "setfit-zero-shot-classification-pbsp-p4-achiev"
    model_a = SetFitModel.from_pretrained(f"aammari/{model_a_name}")
    model_r_name = "setfit-zero-shot-classification-pbsp-p4-rel"
    model_r = SetFitModel.from_pretrained(f"aammari/{model_r_name}")
    model_t_name = "setfit-zero-shot-classification-pbsp-p4-time"
    model_t = SetFitModel.from_pretrained(f"aammari/{model_t_name}")
    
    # argilla
    rg.init(
        api_url=os.environ["ARGILLA_API_URL"],
        api_key=os.environ["ARGILLA_API_KEY"]
    )
    ------------------
    
    
    ---------------------------------------------------------------------------
    NameError                                 Traceback (most recent call last)
    Cell In[1], line 3
          1 #initializations
          2 model_s_name = "setfit-zero-shot-classification-pbsp-p4-specific"
    ----> 3 model_s = SetFitModel.from_pretrained(f"aammari/{model_s_name}")
          4 model_m_name = "setfit-zero-shot-classification-pbsp-p4-meas"
          5 model_m = SetFitModel.from_pretrained(f"aammari/{model_m_name}")
    
    NameError: name 'SetFitModel' is not defined
    
[I 02:32:49.952 NotebookApp] Starting buffering for 13ad2aa2-09c8-44f5-a4f2-534afb2f075a:03fa779b-dcc0-469a-93c8-f0ff199d3423
[I 02:32:49.969 NotebookApp] Kernel shutdown: 13ad2aa2-09c8-44f5-a4f2-534afb2f075a
[W 02:33:14.193 NotebookApp] Notebook zero-shot-classification-pbsp-page4-smart-demo-trainer-eval-hf.ipynb is not trusted
[I 02:33:14.913 NotebookApp] Kernel started: 2bd953ae-d78a-4947-ba65-829114b67127, name: python3
[I 02:34:52.137 NotebookApp] 302 GET /?__theme=light (10.16.30.23) 0.390000ms
[I 02:34:52.212 NotebookApp] 302 GET /tree?__theme=light (10.16.30.23) 0.490000ms
[I 02:36:29.903 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports
WARNING:root:kernel 2bd953ae-d78a-4947-ba65-829114b67127 restarted
[I 02:52:03.437 NotebookApp] Starting buffering for 2bd953ae-d78a-4947-ba65-829114b67127:66fcb3d1dc5b418e83e010382dfc5af7
[I 02:52:07.201 NotebookApp] 302 GET /?__theme=light (10.16.30.23) 0.410000ms
[I 02:52:13.366 NotebookApp] Kernel shutdown: 2bd953ae-d78a-4947-ba65-829114b67127
[I 04:11:49.322 NotebookApp] 302 GET /?__theme=system (10.16.30.23) 0.440000ms
[I 04:11:49.407 NotebookApp] 302 GET /tree?__theme=system (10.16.30.23) 0.500000ms
[I 04:11:52.428 NotebookApp] 302 GET /?__theme=system (10.16.32.186) 0.410000ms
[I 04:11:52.512 NotebookApp] 302 GET /tree?__theme=system (10.16.32.186) 0.640000ms
[I 04:44:19.732 NotebookApp] 302 GET / (10.16.32.186) 0.430000ms
[I 09:59:25.622 NotebookApp] 302 GET / (10.16.10.79) 0.460000ms
[I 12:04:38.649 NotebookApp] 302 GET /?__theme=light (10.16.30.23) 0.400000ms
[I 12:04:38.764 NotebookApp] 302 GET /tree?__theme=light (10.16.30.23) 0.480000ms
[I 21:37:02.781 NotebookApp] 302 GET / (10.16.30.23) 1.680000ms
[I 23:29:25.424 NotebookApp] 302 GET /?__theme=light (10.16.30.23) 0.380000ms
[I 23:29:25.667 NotebookApp] 302 GET /tree?__theme=light (10.16.30.23) 0.580000ms
[I 23:29:31.202 NotebookApp] 302 POST /login?next=%2Ftree%3F__theme%3Dlight (10.16.10.79) 1.710000ms

HuggingFace Space container logs:

[W 23:34:14.611 NotebookApp] Notebook openai-pbsp-page3-early-warning-signs-eval-trainer-demo-hf.ipynb is not trusted
[I 23:34:15.513 NotebookApp] Kernel started: b45251ed-f055-46b9-b545-e7603a5124dd, name: python3
[I 23:35:42.371 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports
WARNING:root:kernel b45251ed-f055-46b9-b545-e7603a5124dd restarted

[vinbo8]

Based on these logs, it looks like the cell you're trying to run has more commands in it than just import spacy. Could you isolate and run just this one command and then paste logs?

[anammari]

@vin-ivar I've already done that and shared in the original issue the screenshot which shows only import spacy in the notebook cell

Here's the container logs after running that cell:

[I 23:57:14.397 NotebookApp] KernelRestarter: restarting kernel (1/5), keep random ports
WARNING:root:kernel 0ad0c24b-8b03-48f6-8a13-40d5f3c2e010 restarted

I have even tried the same command import spacy in a JupyterLab HF Space and received a similar error (the kernel died):

As this JupyterLab HF space is not mine, I don't have access to its logs. However this Space is listed by HuggingFace in their documentation as an example Docker space, so it should be a trusted one.

[vinbo8]

This looks like it could be an issue with the amount of RAM you have available, or an interaction with some other library that you have installed. SpaCy by itself should work fine - here's an example of a demo on HF Spaces.