chore: import upstream snapshot with attribution

python/example/test_words.py

@@ -0,0 +1,31 @@
+#!/usr/bin/env python3
+
+import wave
+import sys
+
+from vosk import Model, KaldiRecognizer
+
+wf = wave.open(sys.argv[1], "rb")
+if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
+    print("Audio file must be WAV format mono PCM.")
+    sys.exit(1)
+
+model = Model(lang="en-us")
+
+# You can also specify the possible word or phrase list as JSON list,
+# the order doesn't have to be strict
+rec = KaldiRecognizer(model,
+    wf.getframerate(),
+    '["oh one two three", "four five six", "seven eight nine zero", "[unk]"]')
+
+while True:
+    data = wf.readframes(4000)
+    if len(data) == 0:
+        break
+    if rec.AcceptWaveform(data):
+        print(rec.Result())
+        rec.SetGrammar('["one zero one two three oh", "four five six", "seven eight nine zero", "[unk]"]')
+    else:
+        print(rec.PartialResult())
+
+print(rec.FinalResult())