INFO numexpr.utils: NumExpr defaulting to 8 threads.

[KeertiAdapa]

crop_streamlit.md

[gabbygab1233]

Hi, I try to pull this repository and it works fine for me. Can you please elaborate more on the problem? running the "streamlit run app.py" cause you an error? or while installing the dependencies?

[KeertiAdapa]

running the app.py caused a problem. when debugged I'm getting an error stating: " INFO numexpr.utils: NumExpr defaulting to 8 threads." Is this error related to installing any dependencies

[gabbygab1233]

Try uninstall the numexpr and update ur python version to 3.8 then update all the dependencies and install again the numexpr

plotly==4.5.0 pandas_profiling==2.3.0 streamlit==0.79.0 matplotlib==3.3.0 pandas==1.0.5 seaborn==0.10.1 numpy==1.18.5 scikit_learn==1.0.2

I prefer to show me the screenshot of error instead of text.

[KeertiAdapa]

Okay sir, we once again try installing it.

Attached the screenshot too sir [

](url)

[gabbygab1233]

Don't run it on Jupyter notebook. Try to run it on ur cmd or terminal.

streamlit run app.py

[KeertiAdapa]

Thanks a lot sir! Site is working now. But not predicting the crop

.

[ghost]

2022-05-10 10:40:24.357 Traceback (most recent call last): File "C:\Users\2019PECCS117\AppData\Local\Programs\Python\Python310\lib\site-packages\streamlit\scriptrunner\script_runner.py", line 475, in _run_script exec(code, module.dict) File "C:\Users\2019PECCS117\Desktop\Crop-Recommender-main\app.py", line 77, in main() File "C:\Users\2019PECCS117\Desktop\Crop-Recommender-main\app.py", line 55, in main prediction = loaded_model.predict(single_pred) File "C:\Users\2019PECCS117\AppData\Local\Programs\Python\Python310\lib\site-packages\sklearn\utils\metaestimators.py", line 113, in out = lambda *args, *kwargs: self.fn(obj, args, kwargs) # noqa File "C:\Users\2019PECCS117\AppData\Local\Programs\Python\Python310\lib\site-packages\sklearn\pipeline.py", line 470, in predict return self.steps[-1][1].predict(Xt, predict_params) File "C:\Users\2019PECCS117\AppData\Local\Programs\Python\Python310\lib\site-packages\sklearn\naive_bayes.py", line 83, in predict jll = self._joint_log_likelihood(X) File "C:\Users\2019PECCS117\AppData\Local\Programs\Python\Python310\lib\site-packages\sklearn\naive_bayes.py", line 489, in _joint_log_likelihood nij = -0.5 np.sum(np.log(2.0 np.pi * self.var[i, :])) AttributeError: 'GaussianNB' object has no attribute 'var_'

how to rectify #it

[gabbygab1233]

Hi, try to train and use other model.

[gabbygab1233]

@gqgserver

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