问题描述
我正在尝试将用 Python 编写的 Streamlit 应用程序部署到 Heroku.我的整个目录是 4.73 MB，其中 4.68 MB 是我的 ML 模型.我的 requirements.txt 看起来像这样:
I'm trying to deploy a Streamlit app written in python to Heroku. My whole directory is 4.73 MB, where 4.68 MB is my ML model. My requirements.txt looks like this:
absl-py==0.9.0
altair==4.0.1
astor==0.8.1
attrs==19.3.0
backcall==0.1.0
base58==2.0.0
bleach==3.1.3
blinker==1.4
boto3==1.12.29
botocore==1.15.29
cachetools==4.0.0
certifi==2019.11.28
chardet==3.0.4
click==7.1.1
colorama==0.4.3
cycler==0.10.0
decorator==4.4.2
defusedxml==0.6.0
docutils==0.15.2
entrypoints==0.3
enum-compat==0.0.3
future==0.18.2
gast==0.2.2
google-auth==1.11.3
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.27.2
h5py==2.10.0
idna==2.9
importlib-metadata==1.5.2
ipykernel==5.2.0
ipython==7.13.0
ipython-genutils==0.2.0
ipywidgets==7.5.1
jedi==0.16.0
Jinja2==2.11.1
jmespath==0.9.5
joblib==0.14.1
jsonschema==3.2.0
jupyter-client==6.1.1
jupyter-core==4.6.3
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.2.1
MarkupSafe==1.1.1
matplotlib==3.2.1
mistune==0.8.4
nbconvert==5.6.1
nbformat==5.0.4
notebook==6.0.3
numpy==1.18.2
oauthlib==3.1.0
opencv-python==4.2.0.32
opt-einsum==3.2.0
pandas==1.0.3
pandocfilters==1.4.2
parso==0.6.2
pathtools==0.1.2
pickleshare==0.7.5
Pillow==7.0.0
prometheus-client==0.7.1
prompt-toolkit==3.0.4
protobuf==3.11.3
pyasn1==0.4.8
pyasn1-modules==0.2.8
pydeck==0.3.0b2
Pygments==2.6.1
pyparsing==2.4.6
pyrsistent==0.16.0
python-dateutil==2.8.0
pytz==2019.3
pywinpty==0.5.7
pyzmq==19.0.0
requests==2.23.0
requests-oauthlib==1.3.0
rsa==4.0
s3transfer==0.3.3
scikit-learn==0.22.2.post1
scipy==1.4.1
Send2Trash==1.5.0
six==1.14.0
sklearn==0.0
streamlit==0.56.0
tensorboard==2.1.1
tensorflow==2.1.0
tensorflow-estimator==2.1.0
termcolor==1.1.0
terminado==0.8.3
testpath==0.4.4
toml==0.10.0
toolz==0.10.0
tornado==5.1.1
traitlets==4.3.3
tzlocal==2.0.0
urllib3==1.25.8
validators==0.14.2
watchdog==0.10.2
wcwidth==0.1.9
webencodings==0.5.1
Werkzeug==1.0.0
widgetsnbextension==3.5.1
wincertstore==0.2
wrapt==1.12.1
zipp==3.1.0
当我将我的应用推送到 Heroku 时，消息是:
When I push my app to Heroku, the message is:
remote: -----> Discovering process types
remote: Procfile declares types -> web
remote:
remote: -----> Compressing...
remote: ! Compiled slug size: 623.5M is too large (max is 500M).
remote: ! See: http://devcenter.heroku.com/articles/slug-size
remote:
remote: ! Push failed
我的 slug 尺寸怎么会太大?是大小的要求吗?那么到底如何使用 tensorflow 将 python 应用程序部署到 Heroku 呢?感谢您的帮助！
How can my slug size be too large? Is it the size of the requirements? Then how is it possible to deploy a python app using tensorflow to Heroku after all?Thanks for the help!
推荐答案
我已经在这里回答了这个问题.
I have already answered this here.
事实证明 Tensorflow 2.0 模块非常大(超过 500MB，Heroku 的限制)，因为它支持 GPU.由于 Heroku 不支持 GPU，因此安装支持 GPU 的模块没有意义.
Turns out the Tensorflow 2.0 module is very large (more than 500MB, the limit for Heroku) because of its GPU support. Since Heroku doesn't support GPU, it doesn't make sense to install the module with GPU support.
只需在您的要求中将 tensorflow 替换为 tensorflow-cpu.
Simply replace tensorflow with tensorflow-cpu in your requirements.
这对我有用，希望对你也有用！
This worked for me, hope it works for you too!
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