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- import json
- import sys
- from MLLPStreamingClient import MLLPStreamingClient
- def main(wav):
- server_hostname = "<SERVER_ADDRESS>"
- server_port = "<PORT>"
- api_user = "<YOU_API_USER>"
- api_secret = "<YOUR_API_KEY>"
- server_ssl_cert_file = "<CRT_FILE>"
- #Client object creation
- cli = MLLPStreamingClient(server_hostname, server_port, api_user,api_secret, server_ssl_cert_file)
- #Get Token for the session
- cli.getAuthToken()
- #Get available systems, a dictionary with the information related to the available systems and languages
- systems = cli.getTranscribeSystemsInfo()
- #Audio streaming iterator, sends audio in chunks of 250 bytes
- def myStreamIterator():
- with open(wav,"rb") as fd:
- data = fd.read(250)
- while data != b"":
- yield data
- data = fd.read(250)
- es_system = {}
- #Select Spanish system for testing
- for system in systems:
- if system['info']['langs'][0]['code'] == "es":
- es_system = system
- if es_system == {}:
- raise Exception("Spanish system not found")
-
- for resp in cli.transcribe(es_system['id'], myStreamIterator):
- # Hyp_novar contains part of the hypothesis that is consolidated (hypothesis will not change)
- if resp["hyp_novar"] != "":
- sys.stdout.write("{} ".format(resp["hyp_novar"].strip()))
- if resp["eos"]:
- sys.stdout.write("\n")
- sys.stdout.flush()
- if __name__ == "__main__":
-
- if len(sys.argv) != 2:
- print("client.short.wav.py <WAV>")
- else:
- main(sys.argv[1])
-
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