Iro*_*man 2 flask rasa-nlu rasa-core
我想在 python 代码而不是命令行中使用 --enable-api 运行 RASA。下面是我的代码,它不起作用。让我知道我该怎么做。问题是一旦我点击了服务,因为频道是“cmdline”,它就来到了命令行。我不知道如何解决这个问题。
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
import rasa_core
from rasa_core.agent import Agent
from rasa_core.policies.keras_policy import KerasPolicy
from rasa_core.policies.memoization import MemoizationPolicy
from rasa_core.interpreter import RasaNLUInterpreter
from rasa_core.utils import EndpointConfig
from rasa_core.run import serve_application
from rasa_core import config
from rasa_core.policies.fallback import FallbackPolicy
from rasa_core.policies.keras_policy import KerasPolicy
from flask import Flask
from flask_cors import CORS, cross_origin
app = Flask(__name__)
CORS(app)
logger = logging.getLogger(__name__)
@app.route("/conversations/default/respond",methods=['POST'])
def run_weather_bot(serve_forever=True):
logging.basicConfig(level="ERROR")
interpreter = RasaNLUInterpreter('C:\\xxxx_nlu\\models\\nlu\\default\\weathernlu')
action_endpoint = EndpointConfig(url="http://xxx.xx.xx.xxx:5055/webhook")
agent = Agent.load('C:\\xxxx_nlu\\models\\dialogue', interpreter=interpreter, action_endpoint=action_endpoint)
rasa_core.run.serve_application(agent,channel='cmdline')
return agent
if __name__ == '__main__':
app.run("xxx.xx.xx.xxx",5005,debug=True)
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小智 5
您使用以下命令在run_weather_bot函数的命令行中调用 rasa bot 。
rasa_core.run.serve_application(agent,channel='cmdline')
正如您所看到的,它用作命令行应用程序。
我对您的代码进行了一些更改,以便与 rasa 聊天机器人进行对话。您可以参考AGENT文档和Weather bot文章以了解 RASA 代理的连接以及 RASA 代理如何处理输入消息。
def rasa_agent():
interpreter = RasaNLUInterpreter("Path for NLU")
action_endpoint = EndpointConfig(url="Webhook URL")
agent = Agent.load('Path to Dialogue', interpreter=interpreter, action_endpoint=action_endpoint)
## Next line runs the rasa in commandline
# rasa_core.run.serve_application(agent,channel='cmdline')
return agent
@app.route("/conversations/default/respond",methods=['POST'])
def run_weather_bot(serve_forever=True):
agent = rasa_agent() # calling rasa agent
## Collect Query from POST request
## Send Query to Agent
## Get Response of BOT
output = {} ## Append output
return jsonify(output)
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