Hi! I am trying to deploy my app on streamlit.
Locally my app is worring. But while deploying on streamlit I have the following error:
The service has encountered an error while checking the health of the Streamlit app: Get “http://localhost:8501/script-health-check”: EOF
Any help is appreciated.
Thank you.
Welcome to the community, @nitishka! We’re thrilled to have you join us! 
The error message you’re seeing, “The service has encountered an error while checking the health of the Streamlit app: Get ‘http://localhost:8501/script-health-check’: EOF,” typically indicates a problem with the Streamlit app that prevents it from starting up properly on Streamlit Cloud.
This can be due to a variety of reasons, but first, I would suggest you check these 2 things:
Also, have you managed to make your app work locally?
Best,
Charly
Hello,
Thank you very much for your response.
Unfortunately, I haven’t been able to find a solution. 
Best regards,
Natalia
Thanks, @nitishka.
Can you try to delete your app from Streamlit Cloud and redeploy to see whether that solves the issue?
It would also be useful to get the full error log trace to better diagnose this.
Best,
Charly
I deleted the app and redeployed it, but the issue still remains.
Full Log :
[ UTC ] Logs for appfi-project-lbdtxzycff2kytcsjurg2j.streamlit.app/
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[09:06:02] 🖥 Provisioning machine...
[09:06:02] 🎛 Preparing system...
[09:06:02] ⛓ Spinning up manager process...
[09:06:07] 🚀 Starting up repository: 'streamlit_fi-project', branch: 'main', main module: 'streamlit_app.py'
[09:06:07] 🐙 Cloning repository...
[09:06:09] 🐙 Cloning into '/mount/src/streamlit_fi-project'...
Warning: Permanently added the ED25519 host key for IP address '140.82.113.3' to the list of known hosts.
[09:06:09] 🐙 Cloned repository!
[09:06:09] 🐙 Pulling code changes from Github...
[09:06:10] 📦 Processing dependencies...
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Building wheels for collected packages: scikit-learn
Building wheel for scikit-learn (pyproject.toml): started
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Building wheel for scikit-learn (pyproject.toml): finished with status 'done'
Created wheel for scikit-learn: filename=scikit_learn-1.3.0-cp312-cp312-linux_x86_64.whl size=11939716 sha256=90643e3e378a659ddbd48b778eca3b568c9387ff08da22ae71402f92a44b7552
Stored in directory: /tmp/pip-ephem-wheel-cache-4e2fz2l2/wheels/dc/e7/56/cae51184980f4c0f7bc63c40ccecad85060b79f19452e19b14
Successfully built scikit-learn
Installing collected packages: pytz, watchdog, urllib3, tzdata, typing-extensions, tornado, toolz, toml, threadpoolctl, tenacity, smmap, six, rpds-py, pyparsing, pygments, protobuf, pillow, packaging, numpy, mdurl, MarkupSafe, kiwisolver, joblib, idna, fonttools, cycler, click, charset-normalizer, certifi, cachetools, blinker, attrs, scipy, requests, referencing, python-dateutil, pyarrow, plotly, markdown-it-py, jinja2, gitdb, contourpy, scikit-learn, rich, pydeck, pandas, matplotlib, jsonschema-specifications, gitpython, seaborn, jsonschema, altair, streamlit
Successfully installed MarkupSafe-2.1.5 altair-5.3.0 attrs-23.2.0 blinker-1.7.0 cachetools-5.3.3 certifi-2024.2.2 charset-normalizer-3.3.2 click-8.1.7 contourpy-1.2.1 cycler-0.12.1 fonttools-4.50.0 gitdb-4.0.11 gitpython-3.1.43 idna-3.6 jinja2-3.1.3 joblib-1.3.2 jsonschema-4.21.1 jsonschema-specifications-2023.12.1 kiwisolver-1.4.5 markdown-it-py-3.0.0 matplotlib-3.8.0 mdurl-0.1.2 numpy-1.26.4 packaging-23.2 pandas-2.2.1 pillow-10.3.0 plotly-5.19.0 protobuf-4.25.3 pyarrow-15.0.2 pydeck-0.8.1b0 pygments-2.17.2 pyparsing-3.1.2 python-dateutil-2.9.0.post0 pytz-2024.1 referencing-0.34.0 requests-2.31.0 rich-13.7.1 rpds-py-0.18.0 scikit-learn-1.3.0 scipy-1.13.0 seaborn-0.13.2 six-1.16.0 smmap-5.0.1 streamlit-1.32.2 tenacity-8.2.3 threadpoolctl-3.4.0 toml-0.10.2 toolz-0.12.1 tornado-6.4 typing-extensions-4.10.0 tzdata-2024.1 urllib3-2.2.1 watchdog-4.0.0
Checking if Streamlit is installed
Found Streamlit version 1.32.2 in the environment
────────────────────────────────────────────────────────────────────────────────────────
[09:15:58] 🐍 Python dependencies were installed from /mount/src/streamlit_fi-project/requirements.txt using pip.
Check if streamlit is installed
Streamlit is already installed
[09:16:00] 📦 Processed dependencies!
[09:16:20] ❗️ The service has encountered an error while checking the health of the Streamlit app: Get "http://localhost:8501/script-health-check": EOF
Thanks, @nitishka. It might indeed relate to exceeding the maximum memory allowance in Streamlit Cloud, which could explain why it’s working well locally but not in Cloud.
As a debugging step, I would suggest trying with smaller files and seeing whether that works in the Cloud.
Also, please check this post for reference, where a user has been facing the same issue as yours:
Let me know 
Charly
Also FYI, each app is guaranteed 1 GB of memory, but you usually won’t see a resource-related error until you get closer to 3 GB of memory.
Best,
Charly
Thanks a lot @Charly_Wargnier for your help. It works in the Cloud with smaller files.
Best regards,
Natalia
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