Machine Learning Model After Deployed on Streamlit Coumminity Cloud is Giving Wrong Prediction

Community Cloud
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I created a spam prediction machine learning model and for creating an interface i went to pycharm and wrote app.py code and there are two other files which is vectorizer.pkl and model.pkl used in the app.py file and on terminal i wrote streamlit run app.py and it took me to the local host 8501 browser, now everything worked fine it made right predictions. I wanted to make this app public to share the link on github. I went to streamlit community cloud made an account linked it with my github and deployed the app. The github respo has all the necessary file including the notebook with the whole ml model, app.py, model.pkl,requirements.txt, vectorizer.pkl. now the problem is the app deployed using the public link is giving a different prediction( that is it is saying Not Spam instead of saying Spam) for the exact same input. I’m attaching the output here please tell me what to do.

github link : Spam-Gaurd/app.py at main · ardra1111/Spam-Gaurd · GitHub
streamlit cloud app link: https://spam-gaurd-ir5t9kbcsjpdkus4cveywj.streamlit.app/

attaching images of local host 8051 and stream lit community cloud deployed:

Spam prediction result on app deployed on community cloud
Spam prediction result on app deployed on community cloud1909×951 44.7 KB

spam prediction result on local host 8501
spam prediction result on local host 85011915×940 39.5 KB

1 Like
2

Hi @Ardra_Ajay . Once check in the cloud that what the variable named result is giving. May be it’s returning some thing that’s why it’s directly going to else part .
Happy Streamlit-ing :balloon:

1 Like
3

This is what’s being shown when I click the manage app

[     UTC     ] Logs for spam-gaurd-ardra1111.streamlit.app/

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

[12:29:00] 🚀 Starting up repository: 'spam-gaurd', branch: 'main', main module: 'app.py'

[12:29:00] 🐙 Cloning repository...

[12:29:02] 🐙 Cloning into '/mount/src/spam-gaurd'...
Warning: Permanently added the ED25519 host key for IP address '192.30.255.112' to the list of known hosts.

[12:29:02] 🐙 Cloned repository!

[12:29:02] 🐙 Pulling code changes from Github...

[12:29:03] 📦 Processing dependencies...



──────────────────────────────────────── pip ───────────────────────────────────────────



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WARNING: You are using pip version 22.0.3; however, version 24.0 is available.

You should consider upgrading via the '/home/adminuser/venv/bin/python -m pip install --upgrade pip' command.

Checking if Streamlit is installed

Found Streamlit version 1.31.0 in the environment



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[12:29:42] 🐍 Python dependencies were installed from /mount/src/spam-gaurd/requirements.txt using pip.

Check if streamlit is installed

Streamlit is already installed

[12:29:44] 📦 Processed dependencies!







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[nltk_data] Downloading package stopwords to

[nltk_data]     /home/appuser/nltk_data...

[nltk_data]   Unzipping corpora/stopwords.zip.

/home/adminuser/venv/lib/python3.9/site-packages/sklearn/base.py:376: InconsistentVersionWarning: Trying to unpickle estimator TfidfTransformer from version 1.3.2 when using version 1.4.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:

https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations

  warnings.warn(

/home/adminuser/venv/lib/python3.9/site-packages/sklearn/base.py:376: InconsistentVersionWarning: Trying to unpickle estimator TfidfVectorizer from version 1.3.2 when using version 1.4.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:

https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations

  warnings.warn(

/home/adminuser/venv/lib/python3.9/site-packages/sklearn/base.py:376: InconsistentVersionWarning: Trying to unpickle estimator ExtraTreeClassifier from version 1.3.2 when using version 1.4.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:

https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations

  warnings.warn(

/home/adminuser/venv/lib/python3.9/site-packages/sklearn/base.py:376: InconsistentVersionWarning: Trying to unpickle estimator ExtraTreesClassifier from version 1.3.2 when using version 1.4.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:

https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations

  warnings.warn(

[nltk_data] Downloading package punkt to /home/appuser/nltk_data...

[nltk_data]   Package punkt is already up-to-date!

[nltk_data] Downloading package stopwords to

[nltk_data]     /home/appuser/nltk_data...

[nltk_data]   Package stopwords is already up-to-date!

[nltk_data] Downloading package punkt to /home/appuser/nltk_data...

[nltk_data]   Package punkt is already up-to-date!

[nltk_data] Downloading package stopwords to

[nltk_data]     /home/appuser/nltk_data...

[nltk_data]   Package stopwords is already up-to-date!

[nltk_data] Downloading package punkt to /home/appuser/nltk_data...

[nltk_data]   Package punkt is already up-to-date!

[nltk_data] Downloading package stopwords to

[nltk_data]     /home/appuser/nltk_data...

[nltk_data]   Package stopwords is already up-to-date!

[nltk_data] Downloading package punkt to /home/appuser/nltk_data...

[nltk_data]   Package punkt is already up-to-date!

[nltk_data] Downloading package stopwords to

[nltk_data]     /home/appuser/nltk_data...

[nltk_data]   Package stopwords is already up-to-date!
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4

There are warnings about the model having been saved with a different version of scikit-learn and a link pointing to more info on the risks of doing so:

While models saved using one version of scikit-learn might load in other versions, this is entirely unsupported and inadvisable. It should also be kept in mind that operations performed on such data could give different and unexpected results.

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