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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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# talk-codebase: A Tool for Chatting with Your Codebase
Refactor text loader and add repo check - Refactored the text loader in utils.py to improve readability and maintainability. - Added a new function called in utils.py to check if the current directory is a git repository. - Modified the function in utils.py to ignore files and directories ignored by git. - Added error handling to function in utils.py to return if the current directory is not a git repository.
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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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<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>
Update README.md
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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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## Description
Talk-codebase is a powerful tool that allows you to converse with your codebase. It uses LLMs to answer your queries.
You can use [GPT4All](https://github.com/nomic-ai/gpt4all) for offline code processing without sharing your code with
third parties. Alternatively, you can use OpenAI if privacy is not a concern for you. You can switch between these two
options quickly and easily.
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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## Installation
```bash
pip install talk-codebase
```
## Usage
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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Talk-codebase works only with files of popular programming languages and .txt files. All other files will be ignored.
Refactor text loader and add repo check - Refactored the text loader in utils.py to improve readability and maintainability. - Added a new function called in utils.py to check if the current directory is a git repository. - Modified the function in utils.py to ignore files and directories ignored by git. - Added error handling to function in utils.py to return if the current directory is not a git repository.
2023-05-27 01:13:34 +00:00
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
# Start chatting with your codebase
talk-codebase chat <directory>
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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# Configure or edit configuration ~/.config.yaml
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 configure
# Help
talk-codebase --help
```
update README.md
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## Requirements
- Python 3.9
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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- OpenAI API key [api-keys](https://platform.openai.com/account/api-keys)
- If you want to use GPT4All, you need to download the
model [ggml-gpt4all-j-v1.3-groovy.bin](https://gpt4all.io/models/ggml-gpt4all-j-v1.3-groovy.bin) and specify the path
to it in the configuration.
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