wit-ai/pywit

Python library for Wit.ai

What it solves

It provides a simplified Python interface for interacting with the Wit.ai platform, allowing developers to integrate natural language understanding (NLU) language processing into their Python applications without writing raw HTTP requests.

How it works

The library provides a Wit class that acts as a client. By providing an access token, users can call methods that map directly to Wit.ai's API endpoints for processing text messages and audio files (speech) to extract intent and information.

Who it’s for

Python developers building chatbots or voice-activated applications that use Wit.ai for intent extraction and speech processing.

Highlights

  • Text Processing: Use the .message() method to extract information from text strings.
  • Speech Processing: Use the .speech() method to upload audio files for processing.
  • Interactive Mode: Includes an .interactive() method to start a conversation with a bot.
  • Customizable Logging: Supports setting custom logging levels or providing a custom logger object.

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