Add nazoru-input in mozc-nazoru/

mozc-nazoru/bin/nazoru-input

@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# Copyright 2018 Google LLC
+#
+# 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.
+
+from __future__ import print_function
+from nazoru.led import LED_BLUE, LED_RED
+LED_RED.blink(1)
+
+import argparse
+import os
+from nazoru import get_default_graph_path
+from nazoru.core import create_keyboard_recorder, Bluetooth, NazoruPredictor
+
+def main():
+  FLAGS = None
+  parser = argparse.ArgumentParser()
+  parser.add_argument('-g', '--graph',
+                      type=str,
+                      default=get_default_graph_path(),
+                      help='Path to a trained model which is generated by ' +
+                           'nazoru-training.')
+  parser.add_argument('-v', '--verbose', action='store_true')
+  FLAGS, unparsed = parser.parse_known_args()
+
+  LED_RED.blink(0.3)
+
+  bt_connection = Bluetooth()
+  try:
+    recorder = create_keyboard_recorder(verbose=FLAGS.verbose)
+  except IOError as e:
+    LED_RED.off()
+    LED_BLUE.off()
+    raise e
+  predictor = NazoruPredictor(FLAGS.graph)
+
+  LED_RED.off()
+  LED_BLUE.blink(1)
+
+  print('Ready. Please input your scrrible.')
+  while True:
+    data, command = recorder.record()
+    if command is not None:
+      print('command: %s' % command)
+      bt_connection.command(command)
+      continue
+    if data is None:
+      print('done.')
+      break
+
+    LED_RED.on()
+    result = predictor.predict_top_n(data, 5)
+    LED_RED.off()
+
+    print('\n=== RESULTS ===')
+    for item in result:
+      print(u'%s (%s): %.5f' % (item[0], item[1], item[2]))
+    print('===============\n')
+
+    most_likely_result = result[0]
+    print(u'%s (%s)' % (most_likely_result[0], most_likely_result[1]))
+    bt_connection.send(most_likely_result[1])
+
+if __name__ == '__main__':
+  main()