Fetching metadata from the HF Docker repository... 
Update app.py
88ab2dc verified - 1.52 kB Duplicate from streamlit/streamlit-template-space
- 599 Bytes Update Dockerfile
- 1.02 kB Create EDGE_PLAN.md
- 1.62 kB Create ERROR_ANALYSIS.md
- 958 Bytes Update README.md
- 4.91 kB Update app.py
arvyax_model.pkl Detected Pickle imports (13)
- "numpy.dtype",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "None.dtype",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "numpy._core.multiarray.scalar",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.pipeline.Pipeline",
- "sklearn.compose._column_transformer._RemainderColsList",
- "numpy.float64"
How to fix it?
3.04 MB Upload 5 files le_intensity.pkl Detected Pickle imports (4)
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.ndarray",
- "sklearn.preprocessing._label.LabelEncoder"
How to fix it?
367 Bytes Upload 5 files le_state.pkl Detected Pickle imports (6)
- "numpy.dtype",
- "None.dtype",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "sklearn.preprocessing._label.LabelEncoder",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
533 Bytes Upload 5 files model_intensity.pkl Detected Pickle imports (13)
- "numpy._core.multiarray._reconstruct",
- "sklearn.pipeline.Pipeline",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "numpy.dtype",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "None.dtype",
- "numpy.ndarray",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.float64",
- "sklearn.compose._column_transformer._RemainderColsList",
- "numpy._core.multiarray.scalar",
- "sklearn.preprocessing._encoders.OneHotEncoder"
How to fix it?
6.64 MB Upload 5 files - 5.25 kB Upload 5 files
- 49 Bytes Update requirements.txt
