A set of tools for use in plugins
Project description
GailBotPluginsTools
Overview
GailBotPluginsTools is a package designed to facilitate the creation and management of plugins for the GailBot platform. It simplifies the interaction with transcriptions, providing data handlers that manipulate XML markers and utterances.
Features
- Marker Utterance Dictionary: Efficiently manages utterances, their timings, and speaker information.
- Structured Interaction: Provides an outer layer that wraps around the marker utterance dictionary for enhanced functionality.
- Data Objects: Defines necessary data structures for handling utterances effectively.
Usage
The package includes several key modules:
marker_utterance_dict.py
- Class:
MarkerUtteranceDict
- Purpose: Creates a dictionary to manage utterances, keeping track of speaker information, start and end times, and overlaps.
- Key Methods:
__init__
: Initializes the dictionary with utterance data.turn_criteria_overlaps
: Checks if the difference between two utterances meets a defined threshold.
StructureInteract.py
- Class:
StructureInteract
- Purpose: Interacts with the marker utterance dictionary and manages the output path for plugin results.
- Key Methods:
apply
: The main driver function that processes the input data and populates the data structure.parse_xml_to_gbpluginmethods
: Converts XML data into a format usable by the GailBot Plugin methods.
data_objects.py
- Class:
UttObj
- Purpose: Defines the structure for an utterance object, encapsulating its properties like start time, end time, speaker, and text.
Installation
To install the package, use the following command:
pip install gailbottools
Example
Here is a simple example of how to use the package:
from gailbot_plugin_tools import StructureInteract
# Sample XML data
xml_data = """
<transcript>
<u speaker="Speaker1">
<w start="0.0" end="0.5">Hello</w>
<w start="0.6" end="1.0">World</w>
</u>
</transcript>
"""
# Create an instance of StructureInteract
interactor = StructureInteract()
# Apply the XML data
interactor.apply(xml_data)
Contributing
Contributions are welcome! Please submit a pull request or open an issue for suggestions and enhancements.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Authors
- Hannah Shader
- Jason Wu
- Jacob Boyar
- Vivian Li
- Eva Caro
- Manuel Pena
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