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In this article, we will create a Streamlit app that utilizes Ollama and other NLP libraries to process large user input text and generate key information.

Rahul Pandey
DSciEr
Published in
6 min readSep 15, 2024

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Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that serves as a fascinating bridge between humans and machines. It involves teaching machines to understand, interpret, and generate human language. NLP opens doors to endless possibilities — from creating intelligent chatbots to analyzing vast amounts of text data in seconds. Some of the common use cases (but not limited to) include:

  • Summarize articles or reports: Generate concise summaries of lengthy texts.
  • Analyze customer feedback: Identify key aspects customers are talking about and their sentiments.
  • Extract important information: Quickly pull out facts, entities, and keywords from large datasets.

The figure below shows some of the most commonly used NLP tasks.

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DSciEr
DSciEr

Published in DSciEr

DSciER: Where Data Science, Engineering, and Research converge.

Rahul Pandey
Rahul Pandey

Written by Rahul Pandey

MLOps Practitioner | Cloud AI and Data Architect | Leading ML Innovations at adidas 🖖

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