Skip to main content

Dialogflow agent is a library for online or offline handling of Dialogflow agents.

Project description

dfagent 🤖

The dfagent is a package for the handling of Dialogflow agents. You can for example retrieve training examples and save into a preferred format, or you can use it to update an intent by simply feeding it training examples you stored in a preferred format.

Overview

  • dfagent/ contains all the core code to extend dfagent.

Install

To install the dfagent package you only need to run install.sh script.

Usage

Once dfagent is installed you can simply import it in your code.

Save training phrases [remote]

The following snippet illustrates a simple example to get and save training examples from an online Dialogflow agent.

To create a Dialogflow agent you only need that

import dfagent

agent = dfagent.DialogFlowAgent(
    local_path_or_url='my_gcp_project_id',
    service_account='path/to/sa.json',
    content_type='json',
    output_format='default'
)

Then you can get a list of dialogflow examples for saving as follows

examples = agent.get_training_examples()
agent.save_training_examples(examples, output_dir='path/to/dir')

Update intent with new training phrases [remote]

In the following is a snippet that illustrates an example to update a remote Dialogflow agent using training phrases you stored as a raw text file. Remember that dfagent can be extended to support any input or output file format.

Once you instante a df agent

import dfagent

agent = dfagent.DialogFlowAgent(
    local_path_or_url='my_gcp_project_id',
    service_account='path/to/sa.json',
    input_format='default',
)

You can update your remote Dialoflow agent in that way

response, raw_examples, df_examples = agent.add_training_examples(
    intent_name='help.cooking',
    input_dir_or_file='path/to/phrases.train',
    lang='en'
)

From local or zip

In case you already have exported your Dialogflow on your local computer, you can give as local_path_or_url the path to the zip or unzipped exported agent.

import dfagent

agent = dfagent.DialogFlowAgent(
    local_path_or_url='path/to/myagent.zip',
    ...
)

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for dfagent, version 0.1
Filename, size File type Python version Upload date Hashes
Filename, size dfagent-0.1-py3-none-any.whl (9.0 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size dfagent-0.1.tar.gz (10.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page