Allow relative import

README.md

@@ -40,6 +40,10 @@ Either install from PyPI using pip:
 
 `pip install hebpipe`
 
+And run as a module:
+
+`python -m hebpipe example_in.txt`
+
 Or install manually: 
 
   * Clone this repository into the directory that the script should run in (git clone https://github.com/amir-zeldes/HebPipe)

hebpipe/heb_pipe.py

@@ -7,12 +7,21 @@
 from glob import glob
 
 from rftokenizer import RFTokenizer
-from lib.xrenner import Xrenner
-from lib._version import __version__
-from lib.tt2conll import conllize
-from lib.append_column import inject_col
-from lib.sent_split import toks_to_sents
-from lib.whitespace_tokenize import tokenize as whitespace_tokenize
+try:  # Module usage
+	from .lib.xrenner import Xrenner
+	from .lib._version import __version__
+	from .lib.tt2conll import conllize
+	from .lib.append_column import inject_col
+	from .lib.sent_split import toks_to_sents
+	from .lib.whitespace_tokenize import tokenize as whitespace_tokenize
+except ImportError:  # direct script usage
+	from lib.xrenner import Xrenner
+	from lib._version import __version__
+	from lib.tt2conll import conllize
+	from lib.append_column import inject_col
+	from lib.sent_split import toks_to_sents
+	from lib.whitespace_tokenize import tokenize as whitespace_tokenize
+
 
 PY3 = sys.version_info[0] > 2
 
@@ -617,7 +626,10 @@ def run_hebpipe():
 	dotok = opts.tokenize
 
 	if not opts.quiet:
-		from lib import timing
+		try:
+			from .lib import timing
+		except ImportError:  # direct script usage
+			from lib import timing
 
 	files = glob(opts.files)
 

hebpipe/lib/_version.py

@@ -1,7 +1,7 @@
 #!/usr/bin/python
 # -*- coding: utf-8 -*-
 
-__version__ = "1.0.0.1"
+__version__ = "1.0.0.2"
 __author__ = "Amir Zeldes"
 __copyright__ = "Copyright 2018-2020, Amir Zeldes"
 __license__ = "Apache 2.0 License"

setup.py

@@ -3,15 +3,15 @@
 setup(
   name = 'hebpipe',
   packages = find_packages(),
-  version = '1.0.0.1',
+  version = '1.0.0.2',
   description = 'A pipeline for Hebrew NLP',
   author = 'Amir Zeldes',
   author_email = 'amir.zeldes@georgetown.edu',
   package_data = {'':['README.md','LICENSE.md','requirements.txt'],'hebpipe':['lib/*','data/*','bin/*','models/*']},
    install_requires=['numpy','pandas','scipy','joblib','xgboost==0.81','rftokenizer','depedit','xmltodict'],
   url = 'https://github.com/amir-zeldes/HebPipe',
   license='Apache License, Version 2.0',
-  download_url = 'https://github.com/amir-zeldes/HebPipe/releases/tag/v1.0.0.1',
+  download_url = 'https://github.com/amir-zeldes/HebPipe/releases/tag/v1.0.0.2',
   keywords = ['NLP', 'Hebrew', 'segmentation', 'tokenization', 'tagging', 'parsing','morphology','POS'],
   classifiers = ['Programming Language :: Python',
 'Programming Language :: Python :: 2',