import json
import codecs
import sys, time
from requests.packages.urllib3.exceptions import InsecureRequestWarning
import env
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
##########################################################################
# Resets a custom language model by removing all corpora, grammars, and words from
# the model. Resetting a custom language model initializes the model to its state
# when it was first created. Metadata such as the name and language of the model
# are preserved, but the model's words resource is removed and must be re-created.
# You must use credentials for the instance of the service that owns a model to reset it.
##########################################################################
print("\nResetting custom language model...")
headers = {'Content-Type': "application/json"}
uri = env.get_endpoint() + "/v1/customizations/" + env.get_language_id(
) + "/reset"
r = requests.post(uri,
auth=(env.get_username(), env.get_password()),
verify=False,
headers=headers)
print("Reset model returns: ", r.status_code)
print(r.text)
sys.exit(0)
try:
language_id = "&language_customization_id=" + os.environ['LANGUAGE_ID']
print(" - custom language model (id: %s)" % os.environ['LANGUAGE_ID'])
except:
language_id = ""
print(" - base language model")
try:
acoustic_id = "&acoustic_customization_id=" + os.environ['ACOUSTIC_ID']
print(" - custom acoustic model (id: %s)" % os.environ['ACOUSTIC_ID'])
except:
acoustic_id = ""
print(" - base acoustic model")
audio_file = env.get_arg("audio file to transcribe")
uri = env.get_endpoint(
) + "/v1/recognize?model=en-US_NarrowbandModel" + language_id + acoustic_id
with open(audio_file, 'rb') as f:
r = requests.post(uri,
auth=(env.get_username(), env.get_password()),
verify=False,
headers=headers,
data=f)
output_file = open(audio_file.replace('.wav', '') + '.transcript', 'w')
transcript = ""
print(r.json())
for result in r.json()['results']:
for alternative in result['alternatives']:
transcript += alternative['transcript']
print("Transcription: ")
# -*- coding: utf-8 -*-
import requests
import json
import codecs
import sys, time
from requests.packages.urllib3.exceptions import InsecureRequestWarning
import env
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
##########################################################################
# Get list of custom lanugage models
##########################################################################
print("\nGetting custom language models...")
headers = {'Content-Type': "application/json"}
uri = env.get_endpoint() + "/v1/customizations"
r = requests.get(uri,
auth=(env.get_username(), env.get_password()),
verify=False,
headers=headers)
print("Get models returns: ", r.status_code)
print(r.text)
sys.exit(0)
# -*- coding: utf-8 -*-
import requests
import json
import codecs
import sys, time
from requests.packages.urllib3.exceptions import InsecureRequestWarning
import env
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
##########################################################################
# Initiates the training of a custom acoustic model with new audio resources
# using a language model as the base
# A status of available means that the custom model is trained and ready to use.
##########################################################################
print("\nTrain custom acoustic model...")
headers = {'Content-Type' : "application/json"}
uri = env.get_endpoint() + "/v1/acoustic_customizations/"+env.get_acoustic_id()+"/train?custom_language_model_id="+env.get_language_id()
r = requests.post(uri, auth=(env.get_username(),env.get_password()), verify=False, headers=headers)
print("Train acoustic model returns: ", r.status_code)
sys.exit(0)
import requests
import json
import codecs
import sys, time
from requests.packages.urllib3.exceptions import InsecureRequestWarning
import env
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
##########################################################################
# Delete a custom acoustic model
##########################################################################
print("\nDeleting custom acoustic models...")
headers = {'Content-Type': "application/json"}
uri = env.get_endpoint(
) + "/v1/acoustic_customizations/" + env.get_acoustic_id()
resp = requests.delete(uri,
auth=(env.get_username(), env.get_password()),
verify=False,
headers=headers)
print("Delete acoustic models returns: ", resp.status_code)
if resp.status_code != 200:
print("Failed to delete acoustic model")
print(resp.text)
sys.exit(-1)
sys.exit(0)
# -*- coding: utf-8 -*-
import requests
import json
import codecs
import sys, time
from requests.packages.urllib3.exceptions import InsecureRequestWarning
import env
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
##########################################################################
# Get list of all custom models
##########################################################################
print("\nGetting all models...")
headers = {'Content-Type': "application/json"}
uri = env.get_endpoint() + "/v1/models"
r = requests.get(uri,
auth=(env.get_username(), env.get_password()),
verify=False,
headers=headers)
print("Get all models returns: ", r.status_code)
print(r.text)
sys.exit(0)
# -*- coding: utf-8 -*-
import requests
import json
import codecs
import sys, time
from requests.packages.urllib3.exceptions import InsecureRequestWarning
import env
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
##########################################################################
# Delete a corpus file from a custom language model
##########################################################################
corpusName = env.get_arg("corpus filename")
print("\nDeleting corpus ...")
headers = {'Content-Type' : "application/json"}
uri = env.get_endpoint() + "/v1/customizations/"+env.get_language_id()+"/corpora/"+corpusName
r = requests.delete(uri, auth=(env.get_username(),env.get_password()), verify=False, headers=headers)
print("Delete corpus returns: ", r.status_code)
if r.status_code != 200:
print("Failed to get corpus")
print(r.text)
sys.exit(-1)
else:
sys.exit(0)