Adapted recording functionality to new cli

.gitignore

@@ -94,4 +94,4 @@ ENV/
 # Created files by program
 /data/
 /train/
-/logs/
+/log/

speecht/record_utils.py

@@ -87,8 +87,8 @@ def record(self):
  it without getting chopped off.
  """
  stream = self._pyaudio.open(format=self.format, channels=1, rate=self.rate,
- input=True, output=True,
- frames_per_buffer=self.chunk_size)
+  input=True, output=True,
+  frames_per_buffer=self.chunk_size)
 
  num_silent = 0
  snd_started = False

speecht/recording.py

@@ -18,6 +18,7 @@
 from speecht.evaluation import Evaluation
 from speecht.speech_input import SingleInputLoader
 from speecht.speech_model import create_default_model
+import speecht.vocabulary
 
 from speecht import preprocessing
 
@@ -35,12 +36,12 @@ def run(self):
  speech_input_loader = SingleInputLoader(self.flags.input_size)
 
  sample_rate = 16000
- recorder = AudioRecorder(rate=sample_rate)
+ recorder = AudioRecorder(rate=sample_rate, chunk_size=4 * 1024)
 
  with tf.Session() as sess:
 
  model = create_default_model(self.flags, self.flags.input_size, speech_input_loader)
- model.restore(sess, self.flags.run_data_dir)
+ model.restore(sess, self.flags.run_train_dir)
 
  while True:
  print('Recording audio')
@@ -64,6 +65,6 @@ def run(self):
  decoded_ids_paths = [Evaluation.extract_decoded_ids(path) for path in decoded]
  for decoded_path in decoded_ids_paths:
  decoded_ids = next(decoded_path)
- decoded_str = vocabulary.ids_to_sentence(decoded_ids)
+ decoded_str = speecht.vocabulary.ids_to_sentence(decoded_ids)
  print('decoded: {}'.format(decoded_str))