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https://github.com/c10udburst/pycharm-llm-explainer


https://github.com/c10udburst/pycharm-llm-explainer

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README

        

# pycharm-llm-explainer

![Build](https://github.com/C10udburst/pycharm-llm-explainer/workflows/Build/badge.svg)
[![Version](https://img.shields.io/jetbrains/plugin/v/PLUGIN_ID.svg)](https://plugins.jetbrains.com/plugin/PLUGIN_ID)
[![Downloads](https://img.shields.io/jetbrains/plugin/d/PLUGIN_ID.svg)](https://plugins.jetbrains.com/plugin/PLUGIN_ID)

## Template ToDo list
- [x] Create a new [IntelliJ Platform Plugin Template][template] project.
- [x] Get familiar with the [template documentation][template].
- [x] Adjust the [pluginGroup](./gradle.properties), [plugin ID](./src/main/resources/META-INF/plugin.xml) and [sources package](./src/main/kotlin).
- [x] Adjust the plugin description in `README` (see [Tips][docs:plugin-description])
- [x] Review the [Legal Agreements](https://plugins.jetbrains.com/docs/marketplace/legal-agreements.html?from=IJPluginTemplate).
- [ ] [Publish a plugin manually](https://plugins.jetbrains.com/docs/intellij/publishing-plugin.html?from=IJPluginTemplate) for the first time.
- [ ] Set the `PLUGIN_ID` in the above README badges.
- [ ] Set the [Plugin Signing](https://plugins.jetbrains.com/docs/intellij/plugin-signing.html?from=IJPluginTemplate) related [secrets](https://github.com/JetBrains/intellij-platform-plugin-template#environment-variables).
- [ ] Set the [Deployment Token](https://plugins.jetbrains.com/docs/marketplace/plugin-upload.html?from=IJPluginTemplate).
- [ ] Click the Watch button on the top of the [IntelliJ Platform Plugin Template][template] to be notified about releases containing new features and fixes.

LLM Explainer is a plugin for PyCharm that allows you to explain python methods by using [ollama.ai](https://ollama.ai/) and open source LLMs.

To use the plugin, simply right click within a python method and select Explain method. This will open a tool window with the explanation.

This plugin needs ollama server to be running, see [ollama-runner.ipynb](./ollama-runner.ipynb) to see how it can be run on Google Colab for example.

To set the ollama server address, go to Settings/Preferences > Tools > Explain with LLM and set the address.

Highlighted Features:
- Dynamic Customization: The plugin's integration with ollama.ai allows users to harness the power of different open-source models, tailoring the experience to their specific needs.
- Flexible Prompting: Users can easily customize the prompt, ensuring that the plugin adapts to diverse coding scenarios.
- Real-time Response Display: The utilization of a tool window ensures that LLM text responses are displayed in real time.

## Installation

- Using the IDE built-in plugin system:

Settings/Preferences > Plugins > Marketplace > Search for "pycharm-llm-explainer" >
Install

- Manually:

Download the [latest release](https://github.com/C10udburst/pycharm-llm-explainer/releases/latest) and install it manually using
Settings/Preferences > Plugins > ⚙️ > Install plugin from disk...

---
Plugin based on the [IntelliJ Platform Plugin Template][template].

[template]: https://github.com/JetBrains/intellij-platform-plugin-template
[docs:plugin-description]: https://plugins.jetbrains.com/docs/intellij/plugin-user-experience.html#plugin-description-and-presentation