semvec/pypi-packages huggingface dataset:
dfagent 0.1
Dialogflow agent is a library for online or offline handling of Dialogflow agents.
Requires Python: >=3.8

# 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/](dfagent) contains all the core code to extend dfagent.

## Install

To install the dfagent package you only need to run [install.sh](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

```Python
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

```Python
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

```Python
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

```Python
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.

```Python
import dfagent

agent = dfagent.DialogFlowAgent(
    local_path_or_url='path/to/myagent.zip',
    ...
)
```
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silkpy 0.0.1
Silkpy is planned to be a math package for curves and surfaces which are classical objects of differential geometry. Silk, in Chinese, is a kind of soft clothe material with intervined perpendicular lines of longitude and latitude. The lines are named '丝 si' while the clothe is named '绸 chou', which are metaphors for the 'curve' and 'surface' in differential geometry.
Requires Python: >=3.6

# silkpy
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