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我正在尝试使用存储在 import speech_recognition as sr
import pyttsx3
import pywhatkit
import datetiR_310_11845@e
import pyjokes
import random
Listener = sr.Recognizer()
ENGIne = pyttsx3.init()
ENGIne.setProperty("rate",190)
def talk(text):
ENGIne.say(text)
ENGIne.runAnDWait()
def take_command(lan="en-US"):
try:
with sr.Microphone() as source:
print("Listening...")
ENGIne.say("I am Listening.")
ENGIne.runAnDWait()
voice = Listener.Listen(sourcE)
command = Listener.recognize_Google(voice,language=lan)
command = command.lower()
if "alexa" in command:
command = command.replace("alexa","")
return command
except:
return false
def time_format_control():
#some code
def run_assistant():
command = take_command()
if not command:
talk("I don't understand")
return false
if "play" in command:
command = command.replace("play","")
print("Playing: " + command)
talk("Playing" + command)
pywhatkit.playonyt(command)
#some elif stuff
elif "bye" in command or "close the program" in command:
print("bye")
talk("bye")
else:
talk("I don't understand. Wait a second and say it again.")
return false
while True:
run_assistant()
和 flow
中的秘密来运行 prefect cloud
。
coiled
错误并带有 flow
:
prefect clIEnt error
这是身份验证错误吗?我是否需要将 prefect.utilitIEs.exceptions.CLIENtError: Malformed response received from Cloud - please ensure that you have an API token properly configured.
传递给 prefect cloud authentication token
集群?或使用这些 options
coiled
添加配置
以下是我使用的代码和配置:
coiled
~/.prefect/config.toml
[cloud]
use_local_secrets = false
[flows]
checkpoinTing = true
[cloud.agent]
# Runner token
auth_token = "<auth_token>"
Flow
追溯
import prefect
from prefect import Flow,Parameter,task
from prefect.tasks.secrets import PrefectSecret
@task(log_stdout=TruE)
def add_last_name(first_name,last_name="Smith",pwd=NonE):
if pwd=="Hello":
last_name="Hamilton"
full_name = f"{first_name} {last_name}"
print(full_Name)
return full_name
with Flow(name="tst-deploy") as flow:
first_name = Parameter("first_name",default="Alexander")
# Get secret
unlock_nm_secret = PrefectSecret("fake_pwd")
# test prefect secret
full_name = add_last_name(first_name,pwd=unlock_nm_secret)
if __name__ == "__main__":
import coiled
run_se = 1
if run_se == 1:
coiled.create_software_environment(
name="tst-prefect-py38",conda={"chAnnels": ["conda-forge","defaults"],"dependencIEs": ["python=3.8.8","numpy","prefect"]},posT_Build=["python -m pip install jupyter-server-proxy"]
)
from prefect.executors import daskExecutor,LocalExecutor
e = 3
if e==1:
print("Local")
executor = LocalExecutor()
elif e==2:
print("Local dask Executor")
executor = daskExecutor()
elif e==3:
print("Coiled")
executor = daskExecutor(
cluster_class=coiled.Cluster,cluster_kwargs={
"n_workers":1,"worker_cpu":1,"worker_memory":"8 GiB","scheduler_memory": "8 GiB","software": "gryBox/tst-prefect-py38","name": "tst-py38","shutdown_on_close": false,}
)
state = flow.run(
executor= executor
)
flow.visualize(flow_state=statE)
提前致谢。
在 auth_token
工程中添加新的 ~/.prefect/config.toml
。
[cloud]
use_local_secrets = false
auth_token = "<auth_token>"
[flows]
checkpoinTing = true
[cloud.agent]
# Runner token
auth_token = "<auth_token>"
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