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10 Commits

Author SHA1 Message Date
NATURESPEAK
e2f841465c fix endings etc. 2022-04-11 13:09:01 +02:00
NATURESPEAK
9673a3d4f0 dansbox 2022-04-10 15:39:46 +02:00
Gauthier
19f7b8d30d speak simple 2022-04-10 15:21:22 +02:00
NATURESPEAK
d70f643836 new osc, tempo, etc. 2022-04-10 15:20:13 +02:00
NATURESPEAK
5857da6e00 osc server localhost 2022-04-09 18:01:15 +02:00
NATURESPEAK
35caa1e0ad revert temp 2022-04-04 10:48:02 +02:00
NATURESPEAK
b2cc817911 jaccard, temp, etc. 2022-04-04 09:12:49 +02:00
gauthiier
c33d577bb6 debug, threading, etc 2022-03-20 16:06:57 +01:00
Gauthier
e91d3012cb two way comm 2022-03-20 10:45:12 +01:00
Gauthier
72b984bf48 terminal out 2022-03-17 15:29:44 +01:00
9 changed files with 908 additions and 74 deletions

1
.gitignore vendored
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@ -1,6 +1,7 @@
#macos
.DS_store
venv
sandox
# Byte-compiled / optimized / DLL files
__pycache__/

2
run.sh Executable file
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@ -0,0 +1,2 @@
. venv/bin/activate
python speak_broadcast.py -c ../assets/voice.config.json

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@ -1,11 +1,13 @@
import argparse, json, sys, time, random
import utterance.voice
import utterance.utils
UTTERANCE_LEN = 64 #<--------------- these should be in config
def main() -> int:
p = argparse.ArgumentParser()
p.add_argument("-c", "--config", type=str, default="config.json", help="configuratin file")
p.add_argument("-c", "--config", type=str, default="voice.config.json", help="configuratin file")
p.add_argument("-i", "--iterations", type=int, default=10, help="number of iterations")
args = p.parse_args()
@ -16,25 +18,23 @@ def main() -> int:
voices = []
for v in conf['voices']:
voice = utterance.voice.Voice(name=v["name"].upper(), model=v['model_dir'], tokenizer=v['tokeniser_file'], temp=float(v["temperature"]), lenght=32)
model = v['model']
voice = utterance.voice.Voice(name=v["name"].upper(), model=model['model_dir'], tokenizer=model['tokeniser_file'], temp=float(model["temperature"]), length=UTTERANCE_LEN)
voices.append(voice)
nbr_voices = len(voices)
current_voice = ""
current_voice_name = ""
for i in range(args.iterations):
rindex = random.randint(0, nbr_voices - 1)
v = voices[rindex]
if v.name != current_voice:
v = random.sample(voices, 1)[0]
if v.name != current_voice_name:
current_voice_name = v.name
print("==========")
print(v.name + ":")
current_voice = v.name
t = v.utter_one()
if t != None:
t = v.utter_one()
t = utterance.utils.clean(t)
t = utterance.utils.format(t)
print(t)
time.sleep(4)
# time.sleep(1)
if __name__ == '__main__':

359
speak_broadcast-backup.py Normal file
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@ -0,0 +1,359 @@
import argparse, json, sys, time, random, logging, signal, threading
import utterance.voice
import utterance.utils
import utterance.osc
import examine.metric
logging.basicConfig(level=logging.INFO)
UTTERANCE_LEN = 64 #<--------------- these should be in config
NUM_METRIC_GEN = 75
NUM_SAMPLE_VOICES = 3
RANDOM_SEED_TIMER_MIN = 2
STATE_TRANSITION_TIMER_MIN = 1.5
broadcast = None
metric = None
exit = False
terminal = False
debug = False
state = "METRIC"
def format_str(text) -> str:
t = utterance.utils.clean(text)
return utterance.utils.format(t)
def tokenise_str(text):
return utterance.utils.tokenise(text)
def utter_one(v, temp=None, length=None) -> str:
u = v.utter_one(temp=temp, length=length)
return format_str(u)
def prompt_one(v, pinput: str, temp=None, length=None) -> str:
u = v.prompt(pinput=pinput, temp=None, length=length)
return format_str(u)
def utter_one_vectorise(v, temp=None, length=None):
global metric
uv = utter_one(v, temp, length)
uv_vec = metric.vector(uv)
return uv, uv_vec
def prompt_one_vectorise(v, pinput: str, temp=None, length=None):
global metric
uv = prompt_one(v, pinput, temp, length)
uv_vec = metric.vector(uv)
return uv, uv_vec
def utter_n_vectorise_distance(v, n, vec, temp=None, length=None):
global metric
results = []
texts = v.utter_n(n=n, temp=temp, length=length)
for t in texts:
t = format_str(t)
t_vec = metric.vector(t)
d = examine.metric.cos_dist(vec, t_vec)
results.append([d, t, v])
return results
def terminal_utterance(utterance):
if terminal:
print(utterance, end="")
def broadcast_utterance(v, utterance):
global broadcast, exit, debug
# Send all text to server to calculate bounds in advance
broadcast.utterance(utterance, v.calculate)
text = ""
broadcast.utterance(text, v.channel)
terminal_utterance(text)
time.sleep(2)
frags = v.fragments(utterance)
for f in frags:
text += f
broadcast.utterance(text, v.channel)
terminal_utterance(f)
# sleep_time = 2
# toks = tokenise_str(f)
toks = f.split()
sleep_time = len(toks)
if sleep_time <= 2:
sleep_time += 1
time.sleep(sleep_time)
if exit:
return
broadcast.command('clear')
print("==========")
time.sleep(3)
def find_candidates(v, uv_vec, voices, results):
logging.info(f"LOOP::finding candidates")
start = time.time()
candidates = random.sample(voices, NUM_SAMPLE_VOICES)
for c in candidates:
if exit:
break
if c == v:
continue
results += utter_n_vectorise_distance(c, NUM_METRIC_GEN, uv_vec)
results.sort(key=lambda t: t[0], reverse=True)
lapse = time.time() - start
logging.info(f"LOOP::done - {lapse} secs")
def update():
global exit
while not exit:
try:
utterance.osc.update()
except Exception as e:
logging.error(e)
pass
time.sleep(0.2)
def signal_terminate(signum, frame):
global exit
logging.warning("::SIGNAL TERMINATE::")
exit = True
def main() -> int:
global broadcast, metric, terminal, debug, state
p = argparse.ArgumentParser()
p.add_argument("-c", "--config", type=str, default="voice.config.json", help="configuratin file")
p.add_argument("-i", "--iterations", type=int, default=10, help="number of iterations")
p.add_argument("-t", "--terminal", action='store_true', help="print to terminal")
args = p.parse_args()
logging.info(f"INIT::loading config file - {args.config}")
with open(args.config) as f:
conf = json.load(f)
logging.info(conf)
terminal = args.terminal
#--------------------#
# VOICES
#--------------------#
logging.info(f"INIT::creating voices")
voices = []
for v in conf['voices']:
model = v['model']
voice = utterance.voice.Voice(name=v["name"].upper(), model=model['model_dir'], tokenizer=model['tokeniser_file'], temp=float(model["temperature"]), length=UTTERANCE_LEN)
voice.set_channel(v['osc_channel']['root'], v['osc_channel']['utterance'])
voice.set_calculate(v['osc_channel']['root'], v['osc_channel']['calculate'])
voice.set_temperature(v['osc_channel']['root'], v['osc_channel']['temperature'])
voices.append(voice)
#--------------------#
# QUESTION
#--------------------#
logging.info(f"INIT::setting up question")
questions = conf['questions']
questions_array = questions.copy()
random.shuffle(questions_array)
#--------------------#
# NET
#--------------------#
logging.info(f"INIT::setting up OSC")
utterance.osc.start_osc()
broadcast = utterance.osc.OscBroadcaster(name="osc_broadcast", host=conf['host_voicemachine'], port=conf['port_voicemachine'], command_channel=conf['command_osc_channel'])
def receiver_cb(temp, name):
global debug
if type(temp) == str and temp == "DEBUG":
debug = name
logging.info(f"DEBUG MODE: {debug}")
else: # temperature
for v in voices:
if v.name == name:
print(f'{name} - {temp}')
v.temp = temp
# broadcast.temperature(temp, v.temperature) # <-- doesn works because deadlocks in osc_process...
receiver = utterance.osc.OscReceiver(name="osc_receiver", host=conf['host_machinespeak'], port=conf['port_machinespeak'], callback_fn=receiver_cb)
#--------------------#
# METRIC
#--------------------#
logging.info(f"INIT::loading doc2vec metrics")
metric = examine.metric.Metric(model_input='data/models/doc2vec.model')
#--------------------#
# RANDOM
#--------------------#
def random_seed(seconds):
global t_random_seed, exit
i = 0
while i < seconds:
i += 1
time.sleep(1)
if exit:
return
logging.info("RANDOM::SEEDING RANDOM")
random.seed(time.time())
if not exit:
t_random_seed = threading.Thread(target=random_seed, args=(random.randint(60, 60 * RANDOM_SEED_TIMER_MIN), ))
t_random_seed.start()
t_random_seed = threading.Thread(target=random_seed, args=(random.randint(60, 60 * RANDOM_SEED_TIMER_MIN), ))
t_random_seed.start()
#--------------------#
# STATE TRANSITION
#--------------------#
# STATES = ["METRIC", "QUESTION", "RANDOM"]
def state_transition(seconds):
global t_state_transition, exit, state
i = 0
while i < seconds:
i += 1
time.sleep(1)
if exit:
return
logging.info("STATE::STATE TRANSITION")
state = "QUESTION"
if not exit:
t_state_transition = threading.Thread(target=state_transition, args=(random.randint(60, 60 * STATE_TRANSITION_TIMER_MIN), ))
t_state_transition.start()
t_state_transition = threading.Thread(target=state_transition, args=(random.randint(60, 60 * STATE_TRANSITION_TIMER_MIN), ))
t_state_transition.start()
#--------------------#
# A
#--------------------#
logging.info(f"INIT::generating first utterance")
v = random.choice(voices)
uv, uv_vec = utter_one_vectorise(v)
# -- this only updates OSC --
# -- might not need this in production
t_update = threading.Thread(target=update)
t_update.start()
while not exit:
if state == "METRIC":
logging.info(f"- state METRIC")
results = []
t = threading.Thread(target=find_candidates, args=[v, uv_vec, voices, results])
t.start()
logging.info(f"METRIC::broadcasting {v.name}")
broadcast_utterance(v, uv)
t.join()
# ok here we need to randomise maybe...?!
# ([d, t, v])
choice = results[0]
# makse sure we don't say the same thing over and over again
for r in results:
v = r[2]
u = r[1]
if v.select(u):
choice = r
break
else:
logging.info(f"METRIC::reduncancy {v.name}")
v = choice[2]
uv = choice[1]
uv_vec = metric.vector(uv)
logging.info(f"METRIC::next {v.name}")
elif state == "QUESTION":
logging.info(f"- state QUESTION")
if len(questions_array) <= 0:
questions_array = questions.copy()
random.shuffle(questions_array)
# random question
q = questions_array.pop(0)
# random voice
v = random.choice(voices)
# random voice asks random question
logging.info(f"QUESTION::{v.name} : {q['question']}")
broadcast.utterance(q['question'], v.calculate)
broadcast.utterance(q['question'], v.channel)
time.sleep(15)
# answer
v = [e for e in voices if e.name == q['voice']]
if len(v) == 1:
v = v[0]
logging.info(f"QUESTION::answer - {v.name}")
uv, uv_vec = prompt_one_vectorise(v, q['prompt'])
v.remember(uv)
# broadcast_utterance(v, uv) <-- this is broadcasted as part of METRIC STATE
state = "METRIC"
elif state == "RANDOM":
logging.info(f"- state RANDOM")
v = random.choice(voices)
l = random.randint(5, UTTERANCE_LEN)
uv, uv_vec = utter_one_vectorise(v, length=l)
broadcast_utterance(v, uv)
t_update.join()
logging.info(f"TERMINATE::terminating OSC")
utterance.osc.terminate_osc()
# if t_random_seed:
logging.info(f"TERMINATE::random seed")
t_random_seed.join()
logging.info(f"TERMINATE::state transition")
t_state_transition.join()
logging.info(f"FIN")
if __name__ == '__main__':
signal.signal(signal.SIGINT, signal_terminate)
sys.exit(main())

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@ -1,34 +1,56 @@
import argparse, json, sys, time, random, logging, signal, threading
import argparse, json, sys, time, random, logging, signal, threading, string
import utterance.voice
import utterance.utils
import utterance.osc
import utterance.oscosc
import examine.metric
UTTERANCE_LEN = 16 #<--------------- these should be in config
NUM_METRIC_GEN = 50
logging.basicConfig(level=logging.INFO)
UTTERANCE_LEN = 64 #<--------------- these should be in config
NUM_METRIC_GEN = 75
NUM_SAMPLE_VOICES = 3
RANDOM_SEED_TIMER_MIN = 2
STATE_TRANSITION_TIMER_MIN = 10
broadcast = None
metric = None
exit = False
terminal = False
debug = False
state = "METRIC"
B_SKIP = []
B_SWAPS = {}
def format_str(text) -> str:
t = utterance.utils.clean(text)
return utterance.utils.format(t)
def utter_one(v) -> str:
u = v.utter_one()
def tokenise_str(text):
return utterance.utils.tokenise(text)
def utter_one(v, temp=None, length=None) -> str:
u = v.utter_one(temp=temp, length=length)
return format_str(u)
def utter_one_vectorise(v):
def prompt_one(v, pinput: str, temp=None, length=None) -> str:
u = v.prompt(pinput=pinput, temp=None, length=length)
return format_str(u)
def utter_one_vectorise(v, temp=None, length=None):
global metric
uv = utter_one(v)
uv = utter_one(v, temp, length)
uv_vec = metric.vector(uv)
return uv, uv_vec
def utter_n_vectorise_distance(v, n, vec):
def prompt_one_vectorise(v, pinput: str, temp=None, length=None):
global metric
uv = prompt_one(v, pinput, temp, length)
uv_vec = metric.vector(uv)
return uv, uv_vec
def utter_n_vectorise_distance(v, n, vec, temp=None, length=None):
global metric
results = []
texts = v.utter_n(n=n)
texts = v.utter_n(n=n, temp=temp, length=length)
for t in texts:
t = format_str(t)
t_vec = metric.vector(t)
@ -36,26 +58,98 @@ def utter_n_vectorise_distance(v, n, vec):
results.append([d, t, v])
return results
def terminal_utterance(utterance):
if terminal:
print(utterance, end="")
def fix_ending(frags):
result = frags.copy()
end = result[-1]
end = end.translate(str.maketrans('', '', string.punctuation))
fix = utterance.utils.fix_sentence(end)
if fix is None or len(fix) == 0:
result = result[:-1]
# result[-1] = result[-1]
else:
result[-1] = fix
result[-1] = utterance.utils.fix_punctuation(result[-1])
print(result)
return result
def fix_beginning(frags):
global B_SKIP, B_SWAPS
result = frags.copy()
beginnig = result[0]
toks = beginnig.split()
if len(toks) > 0:
f = toks[0].lower()
if f[0] in string.punctuation:
f = f[1:]
if f in B_SKIP:
if len(toks) > 2:
result[0] = " ".join(toks[1:]).capitalize() + "\n"
else:
if result[1][0] == ' ':
result[1] = result[1][1:]
result[1] = result[1].capitalize()
return result[1:]
elif toks[0] in B_SWAPS:
result[0] = result[0].replace(toks[0], B_SWAPS[toks[0]])
return result
def broadcast_utterance(v, utterance):
global broadcast, exit
print(utterance)
text = v.name.upper() + ":\n"
global broadcast, exit, debug
# Send all text to server to calculate bounds in advance
broadcast.utterance(utterance, v.calculate)
text = ""
broadcast.utterance(text, v.channel)
terminal_utterance(text)
time.sleep(2)
frags = v.fragments(utterance)
frags = fix_beginning(frags)
frags = fix_ending(frags)
for f in frags:
terminal_utterance(f)
text += f
broadcast.utterance(text, v.channel)
time.sleep(2)
# sleep_time = 2
# toks = tokenise_str(f)
toks = f.split()
sleep_time = len(toks)
if sleep_time <= 2:
sleep_time += 1
time.sleep(sleep_time)
if exit:
return
broadcast.command('clear')
time.sleep(2)
print("==========")
time.sleep(3)
def find_candidates(v, uv_vec, voices, results):
logging.info(f"LOOP::finding candidates")
@ -74,7 +168,16 @@ def find_candidates(v, uv_vec, voices, results):
lapse = time.time() - start
logging.info(f"LOOP::done - {lapse} secs")
# def update():
# global exit
# while not exit:
# try:
# utterance.osc.update()
# except Exception as e:
# logging.error(e)
# pass
# time.sleep(0.2)
def signal_terminate(signum, frame):
global exit
@ -83,14 +186,13 @@ def signal_terminate(signum, frame):
def main() -> int:
global broadcast, metric
global broadcast, metric, terminal, debug, state, UTTERANCE_LEN, NUM_METRIC_GEN, NUM_SAMPLE_VOICES, RANDOM_SEED_TIMER_MIN, STATE_TRANSITION_TIMER_MIN, B_SKIP, B_SWAPS
p = argparse.ArgumentParser()
p.add_argument("-c", "--config", type=str, default="voice.config.json", help="configuratin file")
p.add_argument("-i", "--iterations", type=int, default=10, help="number of iterations")
args = p.parse_args()
logging.basicConfig(level=logging.INFO)
p.add_argument("-t", "--terminal", action='store_true', help="print to terminal")
args = p.parse_args()
logging.info(f"INIT::loading config file - {args.config}")
@ -99,6 +201,22 @@ def main() -> int:
logging.info(conf)
terminal = args.terminal
#--------------------#
# CONFIGS
#--------------------#
u_conf = conf['utterance_configuration']
UTTERANCE_LEN = u_conf['UTTERANCE_LEN']
NUM_METRIC_GEN = u_conf['NUM_METRIC_GEN']
NUM_SAMPLE_VOICES = u_conf['NUM_SAMPLE_VOICES']
RANDOM_SEED_TIMER_MIN = u_conf['RANDOM_SEED_TIMER_MIN']
STATE_TRANSITION_TIMER_MIN = u_conf['STATE_TRANSITION_TIMER_MIN']
B_SKIP = u_conf['b_skip']
B_SWAPS = u_conf['b_swaps']
#--------------------#
# VOICES
#--------------------#
@ -107,17 +225,45 @@ def main() -> int:
voices = []
for v in conf['voices']:
model = v['model']
voice = utterance.voice.Voice(name=v["name"].upper(), model=model['model_dir'], tokenizer=model['tokeniser_file'], temp=float(model["temperature"]), lenght=UTTERANCE_LEN)
voice = utterance.voice.Voice(name=v["name"].upper(), model=model['model_dir'], tokenizer=model['tokeniser_file'], temp=float(model["temperature"]), length=UTTERANCE_LEN)
voice.set_channel(v['osc_channel']['root'], v['osc_channel']['utterance'])
voice.set_calculate(v['osc_channel']['root'], v['osc_channel']['calculate'])
voice.set_temperature(v['osc_channel']['root'], v['osc_channel']['temperature'])
voices.append(voice)
#--------------------#
# QUESTION
#--------------------#
logging.info(f"INIT::setting up question")
questions = conf['questions']
questions_array = questions.copy()
random.shuffle(questions_array)
#--------------------#
# NET
#--------------------#
logging.info(f"INIT::setting up OSC")
broadcast = utterance.osc.OscBroadcaster(name="osc_broadcast", host=conf['host'], port=conf['port'], command_channel=conf['command_osc_channel'])
broadcast.start_osc()
broadcast = utterance.oscosc.OscBroadcaster(name="osc_broadcast", host=conf['host_voicemachine'], port=conf['port_voicemachine'], command_channel=conf['command_osc_channel'])
# def receiver_cb_temp(unused_addr, args, temp, name):
# for v in voices:
# if v.name == name:
# print(f'{name} - {temp}')
# v.temp = temp
# # broadcast.temperature(temp, v.temperature) # <-- doesn works because deadlocks in osc_process...
# def receiver_cb_command(unused_addr, args, cmd):
# global debug
# debug = name
# logging.info(f"DEBUG MODE: {debug}")
# receiver = utterance.oscosc.OscReceiver(name="osc_receiver", host=conf['host_machinespeak'], port=conf['port_machinespeak'], callback_fn_command=receiver_cb_command, callback_fn_temp=receiver_cb_temp)
# t_osc_receiver = threading.Thread(target=receiver.server.serve_forever)
# t_osc_receiver.start()
#--------------------#
# METRIC
@ -125,36 +271,163 @@ def main() -> int:
logging.info(f"INIT::loading doc2vec metrics")
metric = examine.metric.Metric(model_input='data/models/doc2vec.model')
#--------------------#
# RANDOM
#--------------------#
def random_seed(seconds):
global t_random_seed, exit
i = 0
while i < seconds:
i += 1
time.sleep(1)
if exit:
return
logging.info("RANDOM::SEEDING RANDOM")
random.seed(time.time())
if not exit:
t_random_seed = threading.Thread(target=random_seed, args=(random.randint(60, 60 * RANDOM_SEED_TIMER_MIN), ))
t_random_seed.start()
t_random_seed = threading.Thread(target=random_seed, args=(random.randint(60, 60 * RANDOM_SEED_TIMER_MIN), ))
t_random_seed.start()
#--------------------#
# STATE TRANSITION
#--------------------#
# STATES = ["METRIC", "QUESTION", "RANDOM"]
def state_transition(seconds):
global t_state_transition, exit, state
i = 0
while i < seconds:
i += 1
time.sleep(1)
if exit:
return
logging.info("STATE::STATE TRANSITION")
state = "QUESTION"
if not exit:
t_state_transition = threading.Thread(target=state_transition, args=(random.randint(60, 60 * STATE_TRANSITION_TIMER_MIN), ))
t_state_transition.start()
t_state_transition = threading.Thread(target=state_transition, args=(random.randint(60, 60 * STATE_TRANSITION_TIMER_MIN), ))
t_state_transition.start()
#--------------------#
# A
#--------------------#
logging.info(f"INIT::generating first utterance")
random.seed(time.time())
v = random.choice(voices)
uv, uv_vec = utter_one_vectorise(v)
# -- this only updates OSC --
# -- might not need this in production
# t_update = threading.Thread(target=update)
# t_update.start()
while not exit:
results = []
t = threading.Thread(target=find_candidates, args=[v, uv_vec, voices, results])
t.start()
if state == "METRIC":
logging.info(f"LOOP::broadcasting {v.name}")
broadcast_utterance(v, uv)
t.join()
logging.info(f"- state METRIC")
# ok here we need to randomise maybe...?!
# ([d, t, v])
choice = results[0]
v = choice[2]
uv = choice[1]
uv_vec = metric.vector(uv)
logging.info(f"LOOP::next {v.name}")
results = []
t = threading.Thread(target=find_candidates, args=[v, uv_vec, voices, results])
t.start()
logging.info(f"METRIC::broadcasting {v.name}")
try:
broadcast_utterance(v, uv)
except Exception as e:
logging.error(e)
pass
t.join()
# ok here we need to randomise maybe...?!
# ([d, t, v])
choice = results[0]
# makse sure we don't say the same thing over and over again
for r in results:
v = r[2]
u = r[1]
if v.select(u):
choice = r
break
else:
logging.info(f"METRIC::reduncancy {v.name}")
v = choice[2]
uv = choice[1]
uv_vec = metric.vector(uv)
logging.info(f"METRIC::next {v.name}")
elif state == "QUESTION":
logging.info(f"- state QUESTION")
if len(questions_array) <= 0:
questions_array = questions.copy()
random.shuffle(questions_array)
# random question
q = questions_array.pop(0)
# random voice
v = random.choice(voices)
# random voice asks random question
logging.info(f"QUESTION::{v.name} : {q['question']}")
broadcast.utterance(q['question'], v.calculate)
broadcast.utterance(q['question'], v.channel)
time.sleep(15)
# answer
v = [e for e in voices if e.name == q['voice']]
if len(v) == 1:
v = v[0]
logging.info(f"QUESTION::answer - {v.name}")
uv, uv_vec = prompt_one_vectorise(v, q['prompt'])
v.remember(uv)
# broadcast_utterance(v, uv) <-- this is broadcasted as part of METRIC STATE
state = "METRIC"
logging.info(f"TERMINATE::terminating OSC")
broadcast.terminate_osc()
elif state == "RANDOM":
logging.info(f"- state RANDOM")
v = random.choice(voices)
l = random.randint(5, UTTERANCE_LEN)
uv, uv_vec = utter_one_vectorise(v, length=l)
broadcast_utterance(v, uv)
# t_update.join()
# logging.info(f"TERMINATE::terminating OSC")
# t_osc_receiver.stop()
# t_osc_receiver.join()
# if t_random_seed:
logging.info(f"TERMINATE::random seed")
t_random_seed.join()
logging.info(f"TERMINATE::state transition")
t_state_transition.join()
logging.info(f"FIN")

View File

@ -1,5 +1,24 @@
from osc4py3.as_eventloop import *
from osc4py3 import oscbuildparse
from threading import Lock
mutex = Lock()
temp_mutex = Lock()
def start_osc():
osc_startup()
def terminate_osc():
osc_terminate()
def temperature(temp, name):
print(f'{temp} - {name}')
def update():
global mutex
with mutex:
osc_process()
class OscBroadcaster:
@ -8,27 +27,38 @@ class OscBroadcaster:
self.host = host
self.port = port
self.cmd = command_channel
osc_udp_client(self.host, self.port, self.name)
osc_udp_client(self.host, self.port, self.name)
def utterance(self, utterance: str, channel: str):
msg = oscbuildparse.OSCMessage(channel, None, [utterance])
osc_send(msg, self.name)
osc_process()
update()
def command(self, command: str):
msg = oscbuildparse.OSCMessage(self.cmd, None, [command])
osc_send(msg, self.name)
osc_process()
@staticmethod
def start_osc():
osc_startup()
@staticmethod
def terminate_osc():
osc_terminate()
update()
def temperature(self, temp: float, channel: str):
global temp_mutex
with temp_mutex:
msg = oscbuildparse.OSCMessage(channel, None, [temp])
osc_send(msg, self.name)
osc_process()
class OscReceiver:
def __init__(self, name: str, host: str, port: str, callback_fn=None):
self.name = name
self.host = host
self.port = port
# osc_udp_server(self.host, self.port, self.name)
osc_udp_server("0.0.0.0", self.port, self.name)
if callback_fn:
osc_method('/', callback_fn)
else:
osc_method('/', temperature)

56
utterance/oscosc.py Normal file
View File

@ -0,0 +1,56 @@
from pythonosc import udp_client
from pythonosc import osc_server
from pythonosc import dispatcher
from threading import Lock
temp_mutex = Lock()
class OscBroadcaster:
def __init__(self, name: str, host: str, port: str, command_channel: str):
self.name = name
self.host = host
self.port = int(port)
self.cmd = command_channel
self.client = udp_client.SimpleUDPClient(self.host, self.port)
def utterance(self, utterance: str, channel: str):
self.client.send_message(channel, utterance)
def command(self, command: str):
self.client.send_message(self.cmd, command)
def temperature(self, temp: float, channel: str):
global temp_mutex
with temp_mutex:
self.client.send_message(self.cmd, command)
class OscReceiver:
def __init__(self, name: str, host: str, port: str, callback_fn_command=None, callback_fn_temp=None):
self.dispatcher = dispatcher.Dispatcher()
if callback_fn_command != None:
self.dispatcher.map('/command', callback_fn_command)
if callback_fn_temp != None:
self.dispatcher.map('/temperature', callback_fn_command)
self.name = name
self.host = "127.0.0.1"
self.port = int(port)
self.server = osc_server.ThreadingOSCUDPServer((self.host, self.port), self.dispatcher)
# # osc_udp_server(self.host, self.port, self.name)
# osc_udp_server("127.0.0.1", self.port, self.name)
# if callback_fn:
# osc_method('/', callback_fn)
# else:
# osc_method('/', temperature)

View File

@ -1,4 +1,6 @@
import string, regex
from gensim.utils import tokenize
import nltk
def clean(text: str) -> str:
@ -16,13 +18,15 @@ def clean(text: str) -> str:
def format(text: str) -> str:
return text.replace('\r\n', '\n').replace('\n\n', '\n')
return text.replace('\r\n', '\n').replace('\n\n', '\n').replace('', "'").replace("", "'")
def fragments(utterance: str):
frags = []
sentences = utterance.splitlines()
PUNCT_RE = regex.compile(r'(\p{Punctuation})')
PUNCT_RE = regex.compile(r'(\p{Punctuation})')
skip_punctuation = ["'"]
for s in sentences:
sf = PUNCT_RE.split(s)
@ -36,13 +40,74 @@ def fragments(utterance: str):
cum += k
else:
cum += k
frags.append(cum)
cum = ""
if k in skip_punctuation:
continue
else:
# if cum[0] not in [' ', '\n']:
# cum = ' ' + cum
frags.append(cum)
cum = ""
cum += '\n'
frags.append(cum)
# get rid of newline (2x)
if len(frags) > 0:
if frags[-1] == '\n':
frags = frags[:-1]
if len(frags) > 0:
if frags[-1] == '\n':
frags = frags[:-1]
return frags
def tokenise(utterance: str):
return list(tokenize(utterance, lower=True))
def fix_sentence(s: str) -> str:
if len(s.strip()) <= 1:
return None
text = nltk.word_tokenize(s)
tags = nltk.pos_tag(text)
if len(tags) == 0:
return None
elif len(tags) == 1 and tags[0][1] in ['DT', 'WDT', 'IN']:
return None
elif len(tags) == 1 and len(tags[0][0]) == 1 and tags[0][1] in ['NN']:
return None
if tags[-1][1] in ['DT', 'WDT', 'IN', 'CC']:
tags = tags[:-1]
return " ".join([x[0] for x in tags])
elif tags[-1][1] in ['NN'] and len(tags[-1][0]) == 1:
tags = tags[:-1]
return " ".join([x[0] for x in tags])
return s
def fix_punctuation(s: str) -> str:
if len(s.strip()) == 0:
return ""
if len(s) == 1 and s in string.punctuation:
if s != ',':
return s
else:
return ""
e = s.rstrip()
if e[-1] in string.punctuation:
if e[-1] in [',', ':']:
s = e[:-1] + '.'
else:
s = e + '.'
return s

View File

@ -1,22 +1,58 @@
from aitextgen import aitextgen
import utterance.utils
import regex, string
import gensim, regex, string, time
UTTERANCE_MEMORY_LEN = 15
UTTERANCE_MEMORY_MIN_DIST = 0.85
class Voice:
def __init__(self, name: str, model: str, tokenizer: str, temp: int, lenght: int):
def __init__(self, name: str, model: str, tokenizer: str, temp: int, length: int):
self.name = name
self.temp = temp
self.lenght = lenght
self.length = length
self.v = aitextgen(model_folder=model, tokenizer_file=tokenizer)
self.utterances = []
def utter_n(self, n: int, temp: float = None, lenght: int = None):
t = self.temp if temp != None else temp
l = self.lenght if lenght != None else lenght
return self.v.generate(n=n, max_lenght=l, temperature=t, return_as_list=True)
def utter_n(self, n: int, temp: float = None, length: int = None):
t = self.temp if temp == None else temp
l = self.length if length == None else length
return self.v.generate(n=n, max_length=l, temperature=t, seed=int(time.time()), return_as_list=True)
def utter_one(self, temp: float = None, length: int = None) -> str:
t = self.temp if temp == None else temp
l = self.length if length == None else length
return self.utter_n(n=1, temp=temp, length=length)[0]
def prompt(self, pinput: str, temp: float = None, length: int = None) -> str:
t = self.temp if temp == None else temp
l = self.length if length == None else length
return self.v.generate(prompt=pinput, n=1, max_length=l, temperature=t, seed=int(time.time()), return_as_list=True)[0]
def select(self, utterance: str) -> bool:
# fuction making sure to not say the same thing
toks = set(gensim.utils.tokenize(utterance))
i = 0
for u in self.utterances:
d = gensim.matutils.jaccard_distance(toks, u)
print(f"{i} - d: {d}")
if d < UTTERANCE_MEMORY_MIN_DIST:
return False
self.utterances.append(toks)
if len(self.utterances) > UTTERANCE_MEMORY_LEN:
self.utterances.pop(0)
return True
def remember(self, utterance: str):
toks = set(gensim.utils.tokenize(utterance))
self.utterances.append(toks)
def utter_one(self, temp: int = None, lenght: float = None) -> str:
return self.utter_n(n=1, temp=temp, lenght=lenght)[0]
def set_channel(self, root: str, endpoint: str):
self.channel = root + endpoint
@ -24,6 +60,18 @@ class Voice:
def channel(self):
return self.channel
def set_calculate(self, root: str, endpoint: str):
self.calculate = root + endpoint
def calculate(self):
return self.calculate
def set_temperature(self, root: str, endpoint: str):
self.temperature = root + endpoint
def calculate(self):
return self.temperature
def fragments(self, utt: str):
self.utterance = utt
self.utterance_fragments = utterance.utils.fragments(utt)