blob: 4fed738a4f4eb0819b743767cfcc696396340afe [file] [log] [blame]
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Python demo tool for BertNLClassifier."""
import inspect
import os.path as _os_path
import subprocess
import sys
from absl import app
from absl import flags
FLAGS = flags.FLAGS
flags.DEFINE_string('model_path', None, 'Model Path')
flags.DEFINE_string('text', None, 'Text to Predict')
# Required flag.
flags.mark_flag_as_required('model_path')
flags.mark_flag_as_required('text')
_BERT_NL_CLASSIFIER_NATIVE_PATH = _os_path.join(
_os_path.dirname(inspect.getfile(inspect.currentframe())),
'../bert_nl_classifier_demo')
def classify(model_path, text):
"""Classifies input text into different categories.
Args:
model_path: path to model
text: input text
"""
# Run the detection tool:
subprocess.run([
_BERT_NL_CLASSIFIER_NATIVE_PATH + ' --model_path=' + model_path +
' --text="' + text + '"'
],
shell=True,
check=True)
def run_main(argv):
del argv # Unused.
classify(FLAGS.model_path, FLAGS.text)
# Simple wrapper to make the code pip-friendly
def main():
app.run(main=run_main, argv=sys.argv)
if __name__ == '__main__':
main()