result = relext.sire( params = {
'sid': 'ie-en-news',
'txt': input_query,
'rt': 'json'
} );
# Type of the returned document: XML document
response.content_type = 'text/json';
return result;
# Setting up a Watson service
# - url and auth(username,password) found in the credentails of a service
# - operations: found at http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/apis/
@post('/speech-to-text')
def speech_to_text():
speech_to_text = WatsonService(
url = 'https://stream.watsonplatform.net/speech-to-text/api',
auth = ('7112a49-50bf-4645-a877-2c57ef208bf5','25FXpxclz2sA'),
operations = {
'sire': {
'method': 'POST',
'path': '/v1/sire/0'
}
}
);
WebServer.start();
response = {
'type': 'message',
'text': randomText
}
else:
response = {
'type': 'error',
'error': 'Unknown request type'
}
# generate sound file
if (request['sound'] == 'on' and response['text']
and response['text'] != hello):
result = textToSpeech.synthesize(
params={
'voice': 'en-US_MichaelVoice',
'text': response['text'],
'accept': 'audio/wav'
})
# Save File
ogg = open('static/sound/answer.wav', 'wb')
ogg.write(result)
return WebServer.processResponse(response)
WebServer.start()
# cf push eTeaching -p eTeaching -m 512M -n eteaching
def process_func():
request = JSON.loads(bottle.request.POST['request'])
if (request['type'] == 'start'):
WebServer.start_conversation()
response = {
'type': 'message',
'text': hello
}
elif (request['type'] == 'message'):
# import pprint;
# pprint.pprint( user.info ); # user and conversation identifiers
# pprint.pprint( user.data ); # empty dict that can be used throughout the whole conversation as storage
# e.g. you can store all images that you have already used in a conversation
# Example usage of user.data: counting answers
if ('iteration' not in user.data):
user.data['iteration'] = 0
user.data['iteration'] = user.data['iteration'] + 1
print('\nIteration: ' + str(user.data['iteration']))
# If user typed "image" in the text box
if (request['text'] == 'image'):
#-------------------------- Download Random Image --------------------------------------------------------#
r = requests.get('http://lorempixel.com/600/400/', stream=True)
image_path = 'static/work_images/' + str(
user.info['userID']) + '.jpg'
if r.status_code == 200:
with open(image_path, 'wb') as f:
r.raw.decode_content = True
shutil.copyfileobj(r.raw, f)
#---------------------------------------------------------------------------------------------------------#
response = {
'type': 'image',
'text':
'Take a look at this photo. Can you help me find Waldo?',
'path': image_path,
'imid':
'image-identifier' # unique identifier (image name/id in a database)
}
else:
#-------------------------- Generate Random Text ---------------------------------------------------------#
randomText = requests.get(
'http://loripsum.net/api/plaintext/1/short/headers'
).text.split('\n')[0]
#---------------------------------------------------------------------------------------------------------#
response = {
'type': 'message',
'text': randomText
}
else:
response = {
'type': 'error',
'error': 'Unknown request type'
}
# generate sound file
if (request['sound'] == 'on' and response['text']
and response['text'] != hello):
result = textToSpeech.synthesize(
params={
'voice': 'en-US_MichaelVoice',
'text': response['text'],
'accept': 'audio/wav'
})
# Save File
ogg = open('static/sound/answer.wav', 'wb')
ogg.write(result)
return WebServer.processResponse(response)
def process_func():
request = JSON.loads( bottle.request.POST[ 'request' ] );
if( request['type'] == 'start' ):
WebServer.start_conversation();
response = {
'type': 'message',
'text': hello
};
elif( request['type'] == 'message' ):
# import pprint;
# pprint.pprint( user.info ); # user and conversation identifiers
# pprint.pprint( user.data ); # empty dict that can be used throughout the whole conversation as storage
# e.g. you can store all images that you have already used in a conversation
# Example usage of user.data: counting answers
if( 'iteration' not in user.data ):
user.data['iteration'] = 0;
user.data['iteration'] = user.data['iteration'] + 1;
print( '\nIteration: ' + str( user.data['iteration'] ) );
# If user typed "image" in the text box
if( request['text'] == 'image' ):
#-------------------------- Download Random Image --------------------------------------------------------#
r = requests.get( 'http://lorempixel.com/600/400/', stream=True );
image_path = 'static/work_images/' + str( user.info['userID'] ) + '.jpg';
if r.status_code == 200:
with open( image_path, 'wb' ) as f:
r.raw.decode_content = True;
shutil.copyfileobj( r.raw, f );
#---------------------------------------------------------------------------------------------------------#
response = {
'type': 'image',
'text': 'Take a look at this photo. Can you help me find Waldo?',
'path': image_path,
'imid': 'image-identifier' # unique identifier (image name/id in a database)
};
else:
#-------------------------- Generate Random Text ---------------------------------------------------------#
randomText = requests.get( 'http://loripsum.net/api/plaintext/1/short/headers' ).text.split( '\n' )[0];
#---------------------------------------------------------------------------------------------------------#
response = {
'type': 'message',
'text': randomText
};
else:
response = {
'type': 'error',
'error': 'Unknown request type'
};
# generate sound file
if( request['sound'] == 'on' and response['text'] and response['text'] != hello ):
result = textToSpeech.synthesize( params = {
'voice': 'en-US_MichaelVoice',
'text': response['text'],
'accept': 'audio/wav'
} );
# Save File
ogg = open( 'static/sound/answer.wav', 'wb' );
ogg.write( result );
return WebServer.processResponse( response );