dialogflow-python-client-v2 | Python client for Dialogflow : Design | Artificial Intelligence library
kandi X-RAY | dialogflow-python-client-v2 Summary
kandi X-RAY | dialogflow-python-client-v2 Summary
Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.
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dialogflow-python-client-v2 Key Features
dialogflow-python-client-v2 Examples and Code Snippets
from google.protobuf.json_format import MessageToDict
response_json = MessageToDict(response._pb)
print(response_json["queryResult"]["parameters"])
from google.cloud import dialogflowcx_v3beta1 as dialogflow
from google.cloud.dialogflowcx_v3beta1 import types
import uuid
project_id = "your-project"
location = "us-central1" # my project is located here hence us-central1
session_id =
import os
import base64
import google.cloud.dialogflow as dialogflow
# Authenticate and open session
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = 'your-service-account.json'
DIALOGFLOW_PROJECT_ID = 'your-project'
# Get the agent
agent
jsonResponse = {
"session_info":
{
"parameters":
{
"transition_page": "Vacant"
}
}
};
{
"facebook": {
"attachment": {
"type": "template",
"payload": {
"template_type": "button",
"buttons": [
{
"payload": "trigger buy $objects",
"title": "Buy Now",
import os
import csv
import json
all_intents = os.listdir('intents')
with open('agent.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerow(["Response", "Questions"])
for intent in all_intents:
wr
import os
import dialogflow
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "/path/to/file.json"
project_id = "your_project_id"
session_id = "your_session_id"
language_code = "en"
session_client = dialogflow.SessionsClient()
session = sessi
...
r = sr.Recognizer()
speech = sr.Microphone(device_index=1)
# Here we are reading small chunks of audio data from a local
# audio file. In practice these chunks should come from
# an audio input device.
with speech as source:
whil
import json
from google.protobuf.json_format import MessageToJson
def fetch_reply(query, session_id):
#gets response from DialogFlow
response = detect_intent_from_text(query, session_id)
# trying to parse json
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Community Discussions
Trending Discussions on dialogflow-python-client-v2
QUESTION
I trying to batch create entities (KIND_MAP) but this reference implies from this line under batch_create_entities():
...ANSWER
Answered 2019-Mar-27 at 06:32Yes. It is possible to batch update for entity types who's 'Kind' is 'KIND_MAP'.
Reference: DialogFlow Issue #100
QUESTION
I am lost. I have a currently existing Intent in my project, and I am trying to update ALL fields programmatically because that is what my project requires.
I read this documentation and checked this source file on GitHub, and I think the reason I am getting an error is because I don't understand this part of the source:
Args: intent (Union[dict, ~google.cloud.dialogflow_v2beta1.types.Intent]): Required. The intent to update. Format:
projects//agent/intents/
. If a dict is provided, it must be of the same form as the protobuf message :class:~google.cloud.dialogflow_v2beta1.types.Intent
(Line 484 for reference)
The platform works great I just don't know what I am missing here..
My code
...ANSWER
Answered 2019-Mar-15 at 17:49You are able to get the intent which you want to modify correctly by using
QUESTION
I am using python client for accessing dialogflow's functionality.
My question is: does
ANSWER
Answered 2019-Feb-21 at 16:00You can find out where a module is located by looking at its __file__
attribute. Doing this for dialogflow
and then looking at the file you will see that it does indeed import from dialogflow_v2
, i.e. is just a shortcut for the dialogflow_v2
import:
QUESTION
I'm creating a chatbot with Dialogflow and Django-python. Right now, I already created an agent in Dialogflow, already have a Django app, used ngork, and other necessary stuffs except for connecting Dialogflow to Django app's fulfillment/and calling APIs.
I stumbled across this documentation https://github.com/googleapis/dialogflow-python-client-v2 and successfully did all the steps needed. In the last part of the documentation, it seems that what I finally need to do is use the dialogflow detect intent text , so I copied it and put it into my Django app(views.py).
...ANSWER
Answered 2018-Dec-04 at 11:28I am assuming you know the basic functionalities of Django, and you are using v2 of Dialogflow.
You need to pass the user text request from front-end to the views.py
. YOu will get it in request
object, then you need to extract it.
After extracting the text, you need to call dialogflow's detect_intent()
function with text
and session_id
(text requests with same session_id will be treated as same part of conversation).
Also, you would need to get a json file from GCP console in order to authenticate the dialogflow request. You can read more about that here.
Here is sample code which you can extend according to your use:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dialogflow-python-client-v2
You can use dialogflow-python-client-v2 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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