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rhino_demo_file.py
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rhino_demo_file.py
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#
# Copyright 2018-2023 Picovoice Inc.
#
# You may not use this file except in compliance with the license. A copy of the license is located in the "LICENSE"
# file accompanying this source.
#
# 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.
#
import argparse
import struct
import wave
import pvrhino
def read_file(file_name, sample_rate):
wav_file = wave.open(file_name, mode="rb")
channels = wav_file.getnchannels()
sample_width = wav_file.getsampwidth()
num_frames = wav_file.getnframes()
if wav_file.getframerate() != sample_rate:
raise ValueError("Audio file should have a sample rate of %d. got %d" % (sample_rate, wav_file.getframerate()))
if sample_width != 2:
raise ValueError("Audio file should be 16-bit. got %d" % sample_width)
if channels == 2:
print("Picovoice processes single-channel audio but stereo file is provided. Processing left channel only.")
samples = wav_file.readframes(num_frames)
wav_file.close()
frames = struct.unpack('h' * num_frames * channels, samples)
return frames[::channels]
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'--access_key',
help='AccessKey obtained from Picovoice Console (https://console.picovoice.ai/)',
required=True)
parser.add_argument(
'--wav_path',
help='Absolute path to input audio file.',
required=True)
parser.add_argument(
'--context_path',
help="Absolute path to context file.",
required=True)
parser.add_argument(
'--library_path',
help='Absolute path to dynamic library. Default: using the library provided by `pvrhino`')
parser.add_argument(
'--model_path',
help='Absolute path to the file containing model parameters. Default: using the library provided by `pvrhino`')
parser.add_argument(
'--sensitivity',
help="Inference sensitivity. It should be a number within [0, 1]. A higher sensitivity value results in "
"fewer misses at the cost of (potentially) increasing the erroneous inference rate.",
type=float,
default=0.5)
parser.add_argument(
'--endpoint_duration_sec',
help="Endpoint duration in seconds. An endpoint is a chunk of silence at the end of an utterance that marks "
"the end of spoken command. It should be a positive number within [0.5, 5]. A lower endpoint duration "
"reduces delay and improves responsiveness. A higher endpoint duration assures Rhino doesn't return "
"inference preemptively in case the user pauses before finishing the request.",
type=float,
default=1.)
parser.add_argument(
'--require_endpoint',
help="If set to `True`, Rhino requires an endpoint (a chunk of silence) after the spoken command. If set to "
"`False`, Rhino tries to detect silence, but if it cannot, it still will provide inference regardless. "
"Set to `False` only if operating in an environment with overlapping speech (e.g. people talking in the "
"background).",
default='True',
choices=['True', 'False'])
args = parser.parse_args()
if args.require_endpoint.lower() == 'false':
require_endpoint = False
else:
require_endpoint = True
try:
rhino = pvrhino.create(
access_key=args.access_key,
library_path=args.library_path,
model_path=args.model_path,
context_path=args.context_path,
sensitivity=args.sensitivity,
endpoint_duration_sec=args.endpoint_duration_sec,
require_endpoint=require_endpoint)
except pvrhino.RhinoInvalidArgumentError as e:
print("One or more arguments provided to Rhino is invalid: ", args)
print(e)
raise e
except pvrhino.RhinoActivationError as e:
print("AccessKey activation error")
raise e
except pvrhino.RhinoActivationLimitError as e:
print("AccessKey '%s' has reached it's temporary device limit" % args.access_key)
raise e
except pvrhino.RhinoActivationRefusedError as e:
print("AccessKey '%s' refused" % args.access_key)
raise e
except pvrhino.RhinoActivationThrottledError as e:
print("AccessKey '%s' has been throttled" % args.access_key)
raise e
except pvrhino.RhinoError as e:
print("Failed to initialize Rhino")
raise e
audio = read_file(args.wav_path, rhino.sample_rate)
num_frames = len(audio) // rhino.frame_length
for i in range(num_frames):
frame = audio[i * rhino.frame_length:(i + 1) * rhino.frame_length]
is_finalized = rhino.process(frame)
if is_finalized:
inference = rhino.get_inference()
if inference.is_understood:
print('{')
print(" intent : '%s'" % inference.intent)
print(' slots : {')
for slot, value in inference.slots.items():
print(" %s : '%s'" % (slot, value))
print(' }')
print('}')
else:
print("Didn't understand the command.")
break
rhino.delete()
if __name__ == '__main__':
main()