Skip to main content

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

All 5 Ollama-based widgets on the canvas

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

orange3_ollama-0.0.3.tar.gz (50.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

orange3_ollama-0.0.3-py3-none-any.whl (68.6 kB view details)

Uploaded Python 3

File details

Details for the file orange3_ollama-0.0.3.tar.gz.

File metadata

  • Download URL: orange3_ollama-0.0.3.tar.gz
  • Upload date:
  • Size: 50.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for orange3_ollama-0.0.3.tar.gz
Algorithm Hash digest
SHA256 08d203d0e0f7b88215ab67623efdc5e97fda31ec4edb0fc148594c44a75317d3
MD5 85c6a45635e1e986ba2178b80ca45409
BLAKE2b-256 eb5a13e061f6ec37e276d6443c05ef7cdcc63b3964e24689825e3c2101b34f05

See more details on using hashes here.

File details

Details for the file orange3_ollama-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: orange3_ollama-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 68.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for orange3_ollama-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 75b6f774f86b5ec5d1d7792b5cf2fba95806600fbf7496e2ea0c63c87361fa99
MD5 f44f7198c669c33f1c90e90f70561e33
BLAKE2b-256 1a78f3312a0072209dba2592660b0fdd3061106c1047a49faa7a2c15b79fbe3b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page