#!/usr/bin/env python # Copyright 2017 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. """DialogFlow API Detect Intent Python sample with audio files processed as an audio stream. Examples: python detect_intent_stream.py -h python detect_intent_stream.py --project-id PROJECT_ID \ --session-id SESSION_ID --audio-file-path resources/book_a_room.wav python detect_intent_stream.py --project-id PROJECT_ID \ --session-id SESSION_ID --audio-file-path resources/mountain_view.wav """ import argparse import uuid # [START dialogflow_detect_intent_streaming] def detect_intent_stream(project_id, session_id, audio_file_path, language_code): """Returns the result of detect intent with streaming audio as input. Using the same `session_id` between requests allows continuation of the conversation.""" from google.cloud import dialogflow session_client = dialogflow.SessionsClient() # Note: hard coding audio_encoding and sample_rate_hertz for simplicity. audio_encoding = dialogflow.AudioEncoding.AUDIO_ENCODING_LINEAR_16 sample_rate_hertz = 16000 session_path = session_client.session_path(project_id, session_id) print("Session path: {}\n".format(session_path)) def request_generator(audio_config, audio_file_path): query_input = dialogflow.QueryInput(audio_config=audio_config) # The first request contains the configuration. yield dialogflow.StreamingDetectIntentRequest( session=session_path, query_input=query_input ) # Here we are reading small chunks of audio data from a local # audio file. In practice these chunks should come from # an audio input device. with open(audio_file_path, "rb") as audio_file: while True: chunk = audio_file.read(4096) if not chunk: break # The later requests contains audio data. yield dialogflow.StreamingDetectIntentRequest(input_audio=chunk) audio_config = dialogflow.InputAudioConfig( audio_encoding=audio_encoding, language_code=language_code, sample_rate_hertz=sample_rate_hertz, ) requests = request_generator(audio_config, audio_file_path) responses = session_client.streaming_detect_intent(requests=requests) print("=" * 20) for response in responses: print( 'Intermediate transcript: "{}".'.format( response.recognition_result.transcript ) ) # Note: The result from the last response is the final transcript along # with the detected content. query_result = response.query_result print("=" * 20) print("Query text: {}".format(query_result.query_text)) print( "Detected intent: {} (confidence: {})\n".format( query_result.intent.display_name, query_result.intent_detection_confidence ) ) print("Fulfillment text: {}\n".format(query_result.fulfillment_text)) # [END dialogflow_detect_intent_streaming] if __name__ == "__main__": parser = argparse.ArgumentParser( description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter ) parser.add_argument( "--project-id", help="Project/agent id. Required.", required=True ) parser.add_argument( "--session-id", help="Identifier of the DetectIntent session. " "Defaults to a random UUID.", default=str(uuid.uuid4()), ) parser.add_argument( "--language-code", help='Language code of the query. Defaults to "en-US".', default="en-US", ) parser.add_argument( "--audio-file-path", help="Path to the audio file.", required=True ) args = parser.parse_args() detect_intent_stream( args.project_id, args.session_id, args.audio_file_path, args.language_code )