I have tried everything when deploying my Streamlit app but can’t. I want to deploy this repo here: GitHub - yhernandez55/Streamlit_Projects Like the first project works fine just that the second and third don’t. The second project has this error: AttributeError: ‘XGBModel’ object has no attribute ‘device’. As said in the manage app section while I get this error in the page itself: AttributeError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you’re on Streamlit Cloud, click on ‘Manage app’ in the lower right of your app).
Traceback:
File "/mount/src/streamlit_projects/YanellyHernandez.py", line 22, in <module>
Flight_Prediction.show_flight_prediction() # Call the function from Flight_Prediction.py
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^File "/mount/src/streamlit_projects/Flight_Prediction.py", line 46, in show_flight_prediction
xgb_model.set_params(tree_method='hist') # Ensuring CPU mode
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^File "/home/adminuser/venv/lib/python3.11/site-packages/xgboost/sklearn.py", line 834, in set_params
parameters = self.get_xgb_params()
^^^^^^^^^^^^^^^^^^^^^File "/home/adminuser/venv/lib/python3.11/site-packages/xgboost/sklearn.py", line 868, in get_xgb_params
params: Dict[str, Any] = self.get_params()
^^^^^^^^^^^^^^^^^File "/home/adminuser/venv/lib/python3.11/site-packages/xgboost/sklearn.py", line 851, in get_params
params.update(cp.__class__.get_params(cp, deep))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^File "/home/adminuser/venv/lib/python3.11/site-packages/xgboost/sklearn.py", line 848, in get_params
params = super().get_params(deep)
^^^^^^^^^^^^^^^^^^^^^^^^File "/home/adminuser/venv/lib/python3.11/site-packages/sklearn/base.py", line 244, in get_params
value = getattr(self, key)
^^^^^^^^^^^^^^^^^^
```. And for the third project I get this error: LookupError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).
Traceback:
File "/mount/src/streamlit_projects/YanellyHernandez.py", line 24, in <module>
Wine_Prediction.show_wine_predictions() # Call the function from Wine_Prediction.py
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mount/src/streamlit_projects/Wine_Prediction.py", line 84, in show_wine_predictions
preprocessed_review = preprocess_text(input_review)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mount/src/streamlit_projects/Wine_Prediction.py", line 53, in preprocess_text
tokens = word_tokenize(text) # Tokenize
^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/__init__.py", line 142, in word_tokenize
sentences = [text] if preserve_line else sent_tokenize(text, language)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/__init__.py", line 119, in sent_tokenize
tokenizer = _get_punkt_tokenizer(language)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/__init__.py", line 105, in _get_punkt_tokenizer
return PunktTokenizer(language)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/punkt.py", line 1744, in __init__
self.load_lang(lang)
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/punkt.py", line 1749, in load_lang
lang_dir = find(f"tokenizers/punkt_tab/{lang}/")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/data.py", line 579, in find
raise LookupError(resource_not_found) and the info in the manage app is this: LookupError:
**********************************************************************
Resource e[93mpunkt_tabe[0m not found.
Please use the NLTK Downloader to obtain the resource:
e[31m>>> import nltk
>>> nltk.download('punkt_tab')
e[0m
For more information see: https://www.nltk.org/data.html
Attempted to load e[93mtokenizers/punkt_tab/english/e[0m
Searched in:
- '/home/appuser/nltk_data'
- '/home/adminuser/venv/nltk_data'
- '/home/adminuser/venv/share/nltk_data'
- '/home/adminuser/venv/lib/nltk_data'
- '/usr/share/nltk_data'
- '/usr/local/share/nltk_data'
- '/usr/lib/nltk_data'
- '/usr/local/lib/nltk_data'
**********************************************************************
2025-01-18 09:41:17.319 Uncaught app execution
Traceback (most recent call last):
File "/home/adminuser/venv/lib/python3.11/site-packages/streamlit/runtime/scriptrunner/exec_code.py", line 88, in exec_func_with_error_handling
result = func()
^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 579, in code_to_exec
exec(code, module.__dict__).
also i am running it in conda environment of python 3.11.5
File "/mount/src/streamlit_projects/YanellyHernandez.py", line 24, in <module>
Wine_Prediction.show_wine_predictions() # Call the function from Wine_Prediction.py
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mount/src/streamlit_projects/Wine_Prediction.py", line 84, in show_wine_predictions
preprocessed_review = preprocess_text(input_review)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mount/src/streamlit_projects/Wine_Prediction.py", line 53, in preprocess_text
tokens = word_tokenize(text) # Tokenize
^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/__init__.py", line 142, in word_tokenize
sentences = [text] if preserve_line else sent_tokenize(text, language)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/__init__.py", line 119, in sent_tokenize
tokenizer = _get_punkt_tokenizer(language)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/__init__.py", line 105, in _get_punkt_tokenizer
return PunktTokenizer(language)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/punkt.py", line 1744, in __init__
self.load_lang(lang)
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/tokenize/punkt.py", line 1749, in load_lang
lang_dir = find(f"tokenizers/punkt_tab/{lang}/")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/nltk/data.py", line 579, in find
raise LookupError(resource_not_found)
LookupError:
**********************************************************************
Resource punkt_tab not found.
Please use the NLTK Downloader to obtain the resource:
>>> import nltk
>>> nltk.download('punkt_tab')
For more information see: https://www.nltk.org/data.html
Attempted to load tokenizers/punkt_tab/english/
Searched in:
- '/home/appuser/nltk_data'
- '/home/adminuser/venv/nltk_data'
- '/home/adminuser/venv/share/nltk_data'
- '/home/adminuser/venv/lib/nltk_data'
- '/usr/share/nltk_data'
- '/usr/local/share/nltk_data'
- '/usr/lib/nltk_data'
- '/usr/local/lib/nltk_data'
**********************************************************************
also i am running it in conda environment of python 3.11.5