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update version, refactor README.md content, config.py and cli.py for improved code readability
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# talk-codebase
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[![Node.js Package](https://github.com/rsaryev/talk-codebase/actions/workflows/python-publish.yml/badge.svg)](https://github.com/rsaryev/talk-codebase/actions/workflows/python-publish.yml)
Add CLI for chatting with OpenAI model - Add CLI functionality for chatting with OpenAI model - Implement function to allow users to input OpenAI API key and model name - Implement function to allow users to chat with OpenAI model using retrieved documents - Add module to handle sending questions to OpenAI model - Add module to load and split text documents, create retriever, and define StreamStdOut callback class
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Talk-codebase is a tool that allows you to converse with your codebase using Large Language Models (LLMs) to answer your
queries. It supports offline code processing using LlamaCpp and [GPT4All](https://github.com/nomic-ai/gpt4all) without
sharing your code with third parties, or you can use OpenAI if privacy is not a concern for you. Please note that
talk-codebase is still under development and is recommended for educational purposes, not for production use.
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Add CLI for chatting with OpenAI model - Add CLI functionality for chatting with OpenAI model - Implement function to allow users to input OpenAI API key and model name - Implement function to allow users to chat with OpenAI model using retrieved documents - Add module to handle sending questions to OpenAI model - Add module to load and split text documents, create retriever, and define StreamStdOut callback class
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<p align="center">
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<img src="https://github.com/rsaryev/talk-codebase/assets/70219513/b5d338f9-14a5-417b-9690-83f5cd66facf" width="800" alt="chat">
Add CLI for chatting with OpenAI model - Add CLI functionality for chatting with OpenAI model - Implement function to allow users to input OpenAI API key and model name - Implement function to allow users to chat with OpenAI model using retrieved documents - Add module to handle sending questions to OpenAI model - Add module to load and split text documents, create retriever, and define StreamStdOut callback class
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</p>
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## Installation
Refactored CLI and LLM classes - Refactored the CLI and LLM classes to improve code organization and readability. - Added a function to create an LLM instance based on the config. - Moved the function to the and classes. - Added a function to handle loading an existing vector store. - Added a function to estimate the cost of creating a vector store for OpenAI models. - Updated the function to prompt for the model type and path or API key depending on the type. - Updated the function to use the function and method of the LLM instance. - Updated the default config to include default values for and . - Added a constant to store the default config values. - Added a constant to store the default model path.
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Requirement Python 3.8.1 or higher
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Your project must be in a git repository
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Add CLI for chatting with OpenAI model - Add CLI functionality for chatting with OpenAI model - Implement function to allow users to input OpenAI API key and model name - Implement function to allow users to chat with OpenAI model using retrieved documents - Add module to handle sending questions to OpenAI model - Add module to load and split text documents, create retriever, and define StreamStdOut callback class
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```bash
pip install talk-codebase
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```
After installation, you can use it to chat with your codebase in the current directory by running the following command:
Add CLI for chatting with OpenAI model - Add CLI functionality for chatting with OpenAI model - Implement function to allow users to input OpenAI API key and model name - Implement function to allow users to chat with OpenAI model using retrieved documents - Add module to handle sending questions to OpenAI model - Add module to load and split text documents, create retriever, and define StreamStdOut callback class
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```bash
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talk-codebase chat <path>
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```
Add CLI for chatting with OpenAI model - Add CLI functionality for chatting with OpenAI model - Implement function to allow users to input OpenAI API key and model name - Implement function to allow users to chat with OpenAI model using retrieved documents - Add module to handle sending questions to OpenAI model - Add module to load and split text documents, create retriever, and define StreamStdOut callback class
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Select model type: Local or OpenAI
<img width="300" alt="select_type" src="https://github.com/rsaryev/talk-codebase/assets/70219513/05196fe5-78ff-44ff-8ca3-0313ccef572a">
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OpenAI
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If you use the OpenAI model, you need an OpenAI API key. You can get it from [here](https://beta.openai.com/). Then you
will be offered a choice of available models.
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<img width="300" alt="select" src="https://github.com/rsaryev/talk-codebase/assets/70219513/889ad7c8-a489-4ce8-83af-148b7df09229">
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Local
<img width="696" alt="Снимок экрана 2023-07-12 в 03 47 58" src="https://github.com/rsaryev/talk-codebase/assets/70219513/16988911-c605-4570-bfb4-4a34a03cd4a1">
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If you want some files to be ignored, add them to .gitignore.
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## Reset configuration
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To reset the configuration, run the following command:
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```bash
talk-codebase configure
```
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## Advanced configuration
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You can manually edit the configuration by editing the `~/.config.yaml` file. If you cannot find the configuration file,
run the tool and it will output the path to the configuration file at the very beginning.
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## Supported Extensions
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- [x] `.csv`
- [x] `.doc`
- [x] `.docx`
- [x] `.epub`
- [x] `.md`
- [x] `.pdf`
- [x] `.txt`
- [x] `popular programming languages`
Merge pull request #1 from rsaryev/feat/local GPT4All
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## Contributing
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* If you find a bug in talk-codebase, please report it on the project's issue tracker. When reporting a bug, please
include as much information as possible, such as the steps to reproduce the bug, the expected behavior, and the actual
behavior.
* If you have an idea for a new feature for Talk-codebase, please open an issue on the project's issue tracker. When
suggesting a feature, please include a brief description of the feature, as well as any rationale for why the feature
would be useful.
* You can contribute to talk-codebase by writing code. The project is always looking for help with improving the
codebase, adding new features, and fixing bugs.
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