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A collection of Orange3 widgets that leverage Ollama to perform various data mining tasks

Project description

orange3-ollama

This provides a collection of widgets that leverage Ollama to perform various data mining tasks.

Installation

Within the Add-ons installer, click on "Add more..." and type in orange3-ollama

Widgets

Ollama Text Classifier

  • Inputs: Corpus
  • Outputs: Annotated corpus with predicted categories

Example Orange3 workflow using the Ollama Text Classification widget to determine if a line from the show Friends is male, female, or neutral.

Ollama Sentiment Analyzer

  • Inputs: Corpus
  • Outputs: Annotated corpus with sentiment labels

Example Orange3 workflow using the Ollama Sentiment Analysis widget to determine the sentiment of a line from the show Friends as positive, negative, or neutral.

Ollama Summarizer

  • Inputs: Corpus
  • Outputs: Annotated corpus with summary column

Example Orange3 workflow using the Ollama Summarizer widget to generate a short summary of stories from the Andersen text corpus.

Ollama Analysis Suggester

  • Inputs: Table
  • Outputs: None, it displays it's suggestion within the widget.

Example Orange3 workflow using the Ollama Analysis Suggester widget to generate suggestions for types of analysis to apply to the Titantic dataset.

Python Script Generator

  • Inputs: Table
  • Outputs: Table

Example Orange3 workflow using the Python Script Generator widget to generate a python script based on a prompt to skip every other row of input and to add 2 to every numerical colum.  This is applied to the Iris dataset.

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