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Summary of ChangesHello @leo-gan, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request primarily focuses on improving the documentation by updating the Highlights
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Code Review
This pull request refactors the README file to present the application's features more clearly using a bulleted list. The changes improve the initial overview of the project. My review includes a couple of suggestions to fix typos and improve the wording for better professionalism and clarity in the documentation.
| This application anonymizes large PDF, Markdown or Text files using LLMs. | ||
| It generates an anonymized version of the text and a mapping vocabulary of the original entities to their anonymized replacements. | ||
| - LLM anonymizes text with `high quality`. | ||
| - It anonymizes `large files consistently`. I've tried 1GB files. |
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The phrase "I've tried 1GB files" is a bit informal for project documentation. It would be more professional to state the capability of the tool directly, for example, by mentioning that it has been tested with files of that size.
| - It anonymizes `large files consistently`. I've tried 1GB files. | |
| - It anonymizes `large files consistently`. Tested with files up to 1GB. |
| It generates an anonymized version of the text and a mapping vocabulary of the original entities to their anonymized replacements. | ||
| - LLM anonymizes text with `high quality`. | ||
| - It anonymizes `large files consistently`. I've tried 1GB files. | ||
| - Anonymizes for `free`, if you use an open-source LLM (It uses hashtag#Ollama underhood for OS LLMs) |
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There appear to be a couple of typos on this line. "hashtag#Ollama" should likely be just "Ollama", and "underhood" should be "under the hood". It would also be beneficial to make "Ollama" a link for users who might not be familiar with it, and correct the capitalization of "It" inside the parentheses.
| - Anonymizes for `free`, if you use an open-source LLM (It uses hashtag#Ollama underhood for OS LLMs) | |
| - Anonymizes for `free`, if you use an open-source LLM (it uses [Ollama](https://ollama.com/) under the hood for OS LLMs) |
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