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Conversations
Introducing "Conversations" - a Python package designed to explore the true potential of conversational analysis.
With its ability to transcribe, diarise, and generate visually appealing HTML reports, "Conversation" empowers you to delve deeper into the intricacies of human communication.
Recognizing that conversations are brimming with meaning conveyed not just through language, but also through key acoustic features like loudness, intonation, and speech rate,
this package brings forth an indispensable tool for understanding and interpreting the wealth of information embedded in everyday exchanges.
Conversations enables you to analyze and comprehend the complex world of human interaction.
Documentation
Comprehensive documentation including overview, api, and examples can be found here.
Installation
pip install conversations
Usage
from pathlib import Path
from conversations import Conversation
# Information about the conversation
audio_file = Path('/path/to/audio.mp4')
speaker_mapping={"0": "Alice", "1": "Bob", "2": "Sam"}
# Load the conversation
conversation = Conversation(recording=audio_file)
# Process the conversation
conversation.transcribe()
conversation.diarise()
conversation.save()
# Generate an interactive HTML report
html_report = conversation.report(speaker_mapping=speaker_mapping)
with open('conversation.html', 'w') as f:
f.write(html_report.render())
# Generate an text file of the conversation
text_report = conversation.export_text(speaker_mapping=speaker_mapping)
with open('conversation.txt', 'w') as f:
f.write(text_report)
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