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# HablarConSara.activity
# A simple hack to attach a chatterbot to speak activity
# Copyright (C) 2008 Sebastian Silva Fundacion FuenteLibre sebastian@fuentelibre.org
#
# Style and structure taken from Speak.activity Copyright (C) Joshua Minor
#
# HablarConSara.activity is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# HablarConSara.activity is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with HablarConSara.activity. If not, see <http://www.gnu.org/licenses/>.
import gtk
import gobject
from gettext import gettext as _
import logging
logger = logging.getLogger('speak')
from toolkit.combobox import ComboBox
import aiml
import voice
BOTS = {
_('Spanish'): { 'name': 'Sara',
'brain': 'bot/sara.brn',
'predicates': { 'nombre_bot': 'Sara',
'botmaster': 'la comunidad Azucar' } },
_('English'): { 'name': 'Alice',
'brain': 'bot/alice.brn',
'predicates': { 'name': 'Alice',
'master': 'the Sugar Community' } } }
def get_mem_info(tag):
meminfo = file('/proc/meminfo').readlines()
return int([i for i in meminfo if i.startswith(tag)][0].split()[1])
# load Standard AIML set for restricted systems
if get_mem_info('MemTotal:') < 524288:
mem_free = get_mem_info('MemFree:') + get_mem_info('Cached:')
if mem_free < 102400:
BOTS[_('English')]['brain'] = None
else:
BOTS[_('English')]['brain'] = 'bot/alisochka.brn'
_kernel = None
_kernel_voice = None
def get_default_voice():
default_voice = voice.defaultVoice()
if default_voice.friendlyname not in BOTS:
return voice.allVoices()[_('English')]
else:
return default_voice
def get_voices():
voices = ComboBox()
for lang in sorted(BOTS.keys()):
voices.append_item(voice.allVoices()[lang], lang)
return voices.get_model()
def respond(voice, text):
if _kernel is not None:
text = _kernel.respond(text)
if _kernel is None or not text:
text = _("Sorry, I can't understand what you are asking about.")
return text
def load(activity, voice, sorry=None):
if voice == _kernel_voice:
return False
old_cursor = activity.get_cursor()
activity.set_cursor(gtk.gdk.WATCH)
def load_brain():
global _kernel
global _kernel_voice
is_first_session = _kernel is None
try:
brain = BOTS[voice.friendlyname]
logger.debug('Load bot: %s' % brain)
kernel = aiml.Kernel()
if brain['brain'] is None:
warning = _("Sorry, there is no free memory to load my " \
"brain. Close other activities and try once more.")
activity.face.say_notification(warning)
return
kernel.loadBrain(brain['brain'])
for name, value in brain['predicates'].items():
kernel.setBotPredicate(name, value)
if _kernel is not None:
del _kernel
_kernel = None
import gc
gc.collect()
_kernel = kernel
_kernel_voice = voice
finally:
activity.set_cursor(old_cursor)
if is_first_session:
hello = _("Hello, I'm a robot \"%s\". Ask me any question.") \
% BOTS[voice.friendlyname]['name']
if sorry:
hello += ' ' + sorry
activity.face.say_notification(hello)
elif sorry:
activity.face.say_notification(sorry)
gobject.idle_add(load_brain)
return True
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