added run script and changed setup

.travis.yml

@@ -48,7 +48,8 @@ jobs:
     - export ${!TRAVIS*}
     - sphinx-versioning push docs gh-pages .
   - stage: deploy
-    install: skip
+    install:
+    - pip install pypandoc==1.4
     script: skip
     deploy:
       provider: pypi

Makefile

@@ -9,6 +9,8 @@ help:
 	@echo "        Check style with flake8."
 	@echo "    test"
 	@echo "        Run py.test"
+	@echo "    check-readme"
+	@echo "        Check if the readme can be converted from md to rst for pypi"
 
 clean:
 	find . -name '*.pyc' -exec rm -f {} +
@@ -27,3 +29,7 @@ test: clean
 
 livedocs:
 	cd docs && make livehtml
+
+check-readme:
+	# if this runs through we can be sure the readme is properly shown on pypi
+	python setup.py check --restructuredtext --strict

rasa_nlu/extractors/duckling_extractor.py

@@ -82,6 +82,8 @@ def create(cls, config):
         # type: (RasaNLUConfig) -> DucklingExtractor
 
         dims = config["duckling_dimensions"]
+
+        config.get({})
         if dims:
             unknown_dimensions = [dim
                                   for dim in dims

rasa_nlu/run.py

@@ -0,0 +1,55 @@
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+from __future__ import unicode_literals
+
+import json
+import logging
+import os
+
+import six
+from builtins import input
+
+from rasa_nlu.config import RasaNLUConfig
+from rasa_nlu.model import Interpreter
+
+logger = logging.getLogger(__name__)
+
+
+def create_argparser():  # pragma: no cover
+    import argparse
+    parser = argparse.ArgumentParser(
+            description='run a Rasa NLU model locally on the command line '
+                        'for manual testing')
+
+    parser.add_argument('-c', '--config', required=True,
+                        help="config file")
+
+    parser.add_argument('-m', '--model', required=True,
+                        help="path to model")
+    return parser
+
+
+def run_cmdline(config, model_path, component_builder=None):
+    interpreter = Interpreter.load(model_path, config, component_builder)
+
+    logger.info("NLU model loaded. Type a message and press enter to parse it.")
+    while True:
+        text = input().strip()
+        if six.PY2:
+            # in python 2 input doesn't return unicode values
+            text = text.decode("utf-8")
+        r = interpreter.parse(text)
+        print(json.dumps(r, indent=2))
+
+
+if __name__ == '__main__':  # pragma: no cover
+    parser = create_argparser()
+    args = parser.parse_args()
+
+    nlu_config = RasaNLUConfig(args.config, os.environ, vars(args))
+    logging.basicConfig(level=nlu_config['log_level'])
+
+    run_cmdline(nlu_config, args.model)
+
+    logger.info("Finished evaluation")

setup.py

@@ -1,7 +1,16 @@
-from setuptools import setup
+from setuptools import setup, find_packages
+import io
 
-__version__ = None  # Avoids IDE errors, but actual version is read from version.py
-exec(open('rasa_nlu/version.py').read())
+# Avoids IDE errors, but actual version is read from version.py
+__version__ = None
+exec (open('rasa_nlu/version.py').read())
+
+try:
+    import pypandoc
+    readme = pypandoc.convert_file('README.md', 'rst')
+except (IOError, ImportError):
+    with io.open('README.md', encoding='utf-8') as f:
+        readme = f.read()
 
 tests_requires = [
     "pytest",
@@ -41,18 +50,12 @@
 
 setup(
     name='rasa_nlu',
-    packages=[
-        'rasa_nlu',
-        'rasa_nlu.utils',
-        'rasa_nlu.classifiers',
-        'rasa_nlu.emulators',
-        'rasa_nlu.extractors',
-        'rasa_nlu.featurizers',
-        'rasa_nlu.tokenizers',
-        'rasa_nlu.training_data',
-        'rasa_nlu.training_data.formats'
-    ],
+    packages = find_packages(exclude=['contrib', 'docs', 'tests']),
     classifiers=[
+        "Development Status :: 4 - Beta",
+        "Intended Audience :: Developers",
+        "License :: OSI Approved :: Apache Software License",
+        # supported python versions
         "Programming Language :: Python :: 2.7",
         "Programming Language :: Python :: 3.4",
         "Programming Language :: Python :: 3.5",
@@ -64,17 +67,19 @@
     extras_require=extras_requires,
     include_package_data=True,
     description="Rasa NLU a natural language parser for bots",
-    author='Alan Nichol',
-    author_email='alan@rasa.ai',
+    long_description=readme,
+    author='Rasa Technologies GmbH',
+    author_email='hi@rasa.ai',
+    license='Apache 2.0',
     url="https://rasa.com",
-    keywords=["nlp", "machine-learning", "machine-learning-library", "bot",
-              "bots",
-              "botkit", "rasa", "conversational-agents",
-              "conversational-ai",
-              "chatbot", "chatbot-framework", "bot-framework"],
-    download_url="https://github.com/RasaHQ/rasa_nlu/archive/{}.tar.gz".format(__version__)
+    keywords="nlp machine-learning machine-learning-library bot bots "
+             "botkit rasa conversational-agents conversational-ai chatbot"
+             "chatbot-framework bot-framework",
+    download_url="https://github.com/RasaHQ/rasa_nlu/archive/{}.tar.gz"
+                 "".format(__version__)
 )
 
 print("\nWelcome to Rasa NLU!")
-print("If any questions please visit documentation page https://rasahq.github.io/rasa_nlu")
+print("If any questions please visit documentation "
+      "page https://rasahq.github.io/rasa_nlu")
 print("or join community chat on https://gitter.im/RasaHQ/rasa_nlu")