Unable to deploy using anaconda with environment.yml

Hi,

I have an app deployed using requirement.txt and it is working fine. Now, I want an additional feature in my app, which requires me to use a package only available in Anaconda. After switching to environment.yml, I am experiencing problems in deploying the app although it works fine locally.

I replicated the issue with a simple app (github link) just importing streamlit from conda-forge channel. I am getting β€œinstaller returned a non-zero exit code” error.

I am getting a different error if I include pip and some other packages (streamlit and pytorch) to be installed by pip in the environment.yml. This time it dowloads and installs the required packages. Although streamlit can be imported in the main app file, pytorch can’t be imported and the app returns β€œModuleNotFoundError”. Following is the entire log:


[     UTC     ] Logs for mb3636-test-streamlit-conda-streamlit-app-xjir25.streamlit.app/
────────────────────────────────────────────────────────────────────────────────────────
[11:41:14] πŸ–₯ Provisioning machine...
[11:41:19] πŸŽ› Preparing system...
[11:41:25] β›“ Spinning up manager process...
[11:41:32] 🎈 Inflating balloons...
[11:41:29] πŸš€ Starting up repository: 'test-streamlit-conda', branch: 'master', main module: 'streamlit_app.py'
[11:41:29] πŸ™ Cloning repository...
[11:41:30] πŸ™ Cloning into '/app/test-streamlit-conda'...

[11:41:30] πŸ™ Cloned repository!
[11:41:30] πŸ™ Pulling code changes from Github...
[11:41:31] πŸ“¦ Processing dependencies...
Collecting package metadata (repodata.json): ...working... [2022-11-14 11:42:41.078038] done
Solving environment: ...working... [2022-11-14 11:42:45.776758] done

Downloading and Extracting Packages

wheel-0.38.4         | 32 KB     |            |   0% [2022-11-14 11:42:45.962482] 
wheel-0.38.4         | 32 KB     | ########## | 100% [2022-11-14 11:42:45.962741] 
wheel-0.38.4         | 32 KB     | ########## | 100% [2022-11-14 11:42:45.963021] 

openssl-1.1.1o       | 2.1 MB    |            |   0% [2022-11-14 11:42:46.063620] 
openssl-1.1.1o       | 2.1 MB    | ######6    |  66% [2022-11-14 11:42:46.319026] 
openssl-1.1.1o       | 2.1 MB    | ########## | 100% [2022-11-14 11:42:46.319331] 

ca-certificates-2022 | 150 KB    |            |   0% [2022-11-14 11:42:46.363861] 
ca-certificates-2022 | 150 KB    | ########## | 100% [2022-11-14 11:42:46.364187] 

certifi-2022.9.24    | 155 KB    |            |   0% [2022-11-14 11:42:46.418541] 
certifi-2022.9.24    | 155 KB    | ########## | 100% [2022-11-14 11:42:46.418843] 
Verifying transaction: ...working... [2022-11-14 11:42:46.848406] done
Installing pip dependencies: ...working... [2022-11-14 11:43:46.893634] Ran pip subprocess with arguments:
['/home/appuser/.conda/bin/python', '-m', 'pip', 'install', '-U', '-r', '/app/test-streamlit-conda/condaenv.j0bcqmpz.requirements.txt']
Pip subprocess output:
Collecting streamlit
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Collecting packaging>=14.1
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Collecting validators>=0.2
  Downloading validators-0.20.0.tar.gz (30 kB)
  Preparing metadata (setup.py): started
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Collecting importlib-metadata>=1.4
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Collecting numpy
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Collecting pydeck>=0.1.dev5
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Collecting watchdog
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Collecting click>=7.0
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Collecting nvidia-cuda-nvrtc-cu11==11.7.99
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Collecting nvidia-cublas-cu11==11.10.3.66
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Collecting nvidia-cuda-runtime-cu11==11.7.99
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Collecting nvidia-cudnn-cu11==8.5.0.96
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Collecting wheel
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Collecting jinja2
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Collecting gitdb<5,>=4.0.1
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Building wheels for collected packages: validators
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  Stored in directory: /tmp/pip-ephem-wheel-cache-s97ro0je/wheels/5c/6a/fd/17a2b6f8d376e336d46414eeaf656327fd973158159b059046
Successfully built validators
Installing collected packages: pytz, commonmark, zipp, wheel, watchdog, urllib3, tzdata, typing-extensions, tornado, toolz, toml, smmap, six, setuptools, semver, pyrsistent, pyparsing, pympler, pygments, protobuf, pillow, nvidia-cuda-nvrtc-cu11, numpy, MarkupSafe, idna, entrypoints, decorator, click, charset-normalizer, certifi, cachetools, blinker, attrs, validators, rich, requests, pytz-deprecation-shim, python-dateutil, pyarrow, packaging, nvidia-cuda-runtime-cu11, nvidia-cublas-cu11, jsonschema, jinja2, importlib-metadata, gitdb, tzlocal, pydeck, pandas, nvidia-cudnn-cu11, gitpython, torch, altair, streamlit
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done
#
# To activate this environment, use
#
#     $ conda activate base
#
# To deactivate an active environment, use
#
#     $ conda deactivate

Retrieving notices: ...working... [2022-11-14 11:43:47.039103] done
[11:44:18] 🐍 Python dependencies were installed from /app/test-streamlit-conda/environment.yml using conda.
Check if streamlit is installed

──────────────────────────────── Installing Streamlit ──────────────────────────────────

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Building wheels for collected packages: validators
  Building wheel for validators (setup.py): started
  Building wheel for validators (setup.py): finished with status 'done'
  Created wheel for validators: filename=validators-0.20.0-py3-none-any.whl size=19579 sha256=92eced29e1281cadf7a6c5d7ded5095a924443c2ea18c4277d11ad8dd144994f
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Successfully built validators
Installing collected packages: pytz, commonmark, zipp, watchdog, urllib3, tzdata, typing-extensions, tornado, toolz, toml, smmap, six, semver, pyrsistent, pyparsing, pympler, pygments, protobuf, pillow, numpy, MarkupSafe, idna, entrypoints, decorator, click, charset-normalizer, certifi, cachetools, blinker, attrs, validators, rich, requests, pytz-deprecation-shim, python-dateutil, pyarrow, packaging, jsonschema, jinja2, importlib-metadata, gitdb, tzlocal, pydeck, pandas, gitpython, altair, streamlit
Successfully installed MarkupSafe-2.1.1 altair-4.2.0 attrs-22.1.0 blinker-1.5 cachetools-5.2.0 certifi-2022.9.24 charset-normalizer-2.1.1 click-8.1.3 commonmark-0.9.1 decorator-5.1.1 entrypoints-0.4 gitdb-4.0.9 gitpython-3.1.29 idna-3.4 importlib-metadata-5.0.0 jinja2-3.1.2 jsonschema-4.17.0 numpy-1.23.4 packaging-21.3 pandas-1.5.1 pillow-9.3.0 protobuf-3.20.3 pyarrow-10.0.0 pydeck-0.8.0 pygments-2.13.0 pympler-1.0.1 pyparsing-3.0.9 pyrsistent-0.19.2 python-dateutil-2.8.2 pytz-2022.6 pytz-deprecation-shim-0.1.0.post0 requests-2.28.1 rich-12.6.0 semver-2.13.0 six-1.16.0 smmap-5.0.0 streamlit-1.14.1 toml-0.10.2 toolz-0.12.0 tornado-6.2 typing-extensions-4.4.0 tzdata-2022.6 tzlocal-4.2 urllib3-1.26.12 validators-0.20.0 watchdog-2.1.9 zipp-3.10.0
WARNING: You are using pip version 22.0.3; however, version 22.3.1 is available.
You should consider upgrading via the '/home/appuser/venv/bin/python -m pip install --upgrade pip' command.

────────────────────────────────────────────────────────────────────────────────────────

[11:44:36] πŸ“¦ Processed dependencies!

Collecting usage statistics. To deactivate, set browser.gatherUsageStats to False.




2022-11-14 11:44:57.408 Uncaught app exception
Traceback (most recent call last):
  File "/home/appuser/venv/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 563, in _run_script
    exec(code, module.__dict__)
  File "/app/test-streamlit-conda/streamlit_app.py", line 2, in <module>
    import torch
ModuleNotFoundError: No module named 'torch'
1 Like

Hi @mb3636 :wave:

This looks like a bug in how Community Cloud installs Python dependencies from environment.yml

Even a simple one like this fails:

channels:
  - pytorch
dependencies:
  - pytorch

The logs say:

[16:12:43] 🐍 Python dependencies were installed from /app/test-streamlit-conda/environment.yml using conda.

But when the app runs, the logs say:

2022-11-14 16:13:38.532 Uncaught app exception

Traceback (most recent call last):

  File "/home/appuser/venv/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 563, in _run_script

    exec(code, module.__dict__)

  File "/app/test-streamlit-conda/streamlit_app.py", line 2, in <module>

    import torch

ModuleNotFoundError: No module named 'torch'

I will raise this issue internally. Thank you for reporting!

For now, the workaround is to use requirements.txt instead, containing:

streamlit
torch
1 Like

Thanks for the reply @snehankekre.

It seems the installation works fine from pytorch channel but not from conda-forge channel.
Unfortunately, I have to use conda because I need a package that is only available in anaconda from conda-forge channel.

Please let me know if I can provide any help in this issue as I would love to be involved in making this awesome project better.

Hours were spent grappling with the .yml, and switching to a simple .txt in the format you described worked immediately! Thank you!!

1 Like

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