Python get_language_id示例，env.get_language_id Python示例

示例#1

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# -*- 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 = "https://stream.watsonplatform.net/speech-to-text/api/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)

示例#2

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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 language model
##########################################################################

print("\nDeleting custom language model: ")

headers = {'Content-Type': "application/json"}
uri = "https://stream.watsonplatform.net/speech-to-text/api/v1/customizations/" + env.get_language_id(
)
resp = requests.delete(uri,
                       auth=(env.get_username(), env.get_password()),
                       verify=False,
                       headers=headers)

print("Delete language models returns: ", resp.status_code)
if resp.status_code != 200:
    print("Failed to delete language model")
    print(resp.text)
    sys.exit(-1)

sys.exit(0)

示例#3

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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 = "https://gateway-lon.watsonplatform.net/speech-to-text/api/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)

示例#4

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文件： reset_language_model.py 项目： sudosadia/Train-Custom-Speech-Model

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)

示例#5

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文件： list_corpus.py 项目： sudosadia/Train-Custom-Speech-Model

# -*- 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)

##########################################################################
# List the corpus for a custom langage model
##########################################################################

print("\nGetting corpus ...")

headers = {'Content-Type' : "application/json"}
uri = env.get_endpoint() + "/v1/customizations/"+env.get_language_id()+"/corpora/"
r = requests.get(uri, auth=(env.get_username(),env.get_password()), verify=False, headers=headers)

print("Get corpus returns: ", r.status_code)
if r.status_code != 200:
   print("Failed to get corpus")
   sys.exit(-1)
else:
   print(r.text)
   sys.exit(0)

示例#6

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文件： train_acoustic_model.py 项目： sudosadia/Train-Custom-Speech-Model

# -*- 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)

示例#7

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requests.packages.urllib3.disable_warnings(InsecureRequestWarning)

##########################################################################
# Step 1: Add a corpus file (plain text file)
##########################################################################
# 'dictation_fixed.txt' is name of local file containing the corpus to be uploaded
# 'dictation-1' is the name of the new corpus
# >>>> REPLACE THE VALUES BELOW WITH YOUR OWN CORPUS FILE AND NAME
#corpus_file = "dictation_fixed.txt"
#corpus_name = "dictation-1"
corpus_file = env.get_arg("corpus filename")
print "\nAdding corpus file: " + corpus_file

headers = {'Content-Type': "application/json"}
uri = "https://stream.watsonplatform.net/speech-to-text/api/v1/customizations/" + env.get_language_id(
) + "/corpora/" + corpus_file
with open(corpus_file, 'rb') as f:
    r = requests.post(uri,
                      auth=(env.get_username(), env.get_password()),
                      verify=False,
                      headers=headers,
                      data=f)

print "Adding corpus file returns: ", r.status_code
if r.status_code != 201:
    print "Failed to add corpus file"
    print r.text
    sys.exit(-1)

##########################################################################
# Step 2: Get status of corpus file just added.

示例#8

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文件： train_acoustic_model.py 项目： nawedzaman/Custom-speech-to-text-web-application

# -*- 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 = "https://gateway-lon.watsonplatform.net/speech-to-text/api/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)

示例#9

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文件： transcribe.py 项目： rhagarty/Train-Custom-Speech-Model

import env

requests.packages.urllib3.disable_warnings(InsecureRequestWarning)

headers = {'Content-Type': "audio/wav"}

##########################################################################
# Transcribe an audio file using a custom language and acoustic model
# Need to specify in the API call:
# - the base model
# - the language_customization_id
# - the acoustic_customization_id
##########################################################################

print "\nTranscribe an audio using a custom language custom model..."

audio_file = env.get_arg("audio file to transcribe")
uri = "https://stream.watsonplatform.net/speech-to-text/api/v1/recognize?model=en-US_NarrowbandModel&language_customization_id=" + env.get_language_id(
) + "&acoustic_customization_id=" + env.get_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)

print "Transcribe returns: ", r.status_code
print r.text

sys.exit(0)