amarnathagowda / codellamaassistant

A versatile code assistant tool leveraging CodeLlama's Llama2 AI to enhance coding efficiency and accuracy for developers.

LokiLogic

This project is a multifaceted code assistant designed to aid developers in writing better code, learning new programming languages, and debugging efficiently. Created with the goal of enhancing the coding experience, it serves as an educational tool for those looking to expand their coding expertise while also offering robust debugging support. Whenever developers encounter errors, this assistant provides intelligent insights and solutions, streamlining the debugging process and reducing development time.

Built With

• Python: The primary programming language used for developing the backend logic and functionalities.
• Ollama: Utilized for leveraging large language models efficiently with a focus on reducing computational demands and optimizing performance.
• CodeLlama: Integrated for advanced natural language processing capabilities, enhancing the interaction between the user and the code through sophisticated language models.
• LangChain: Applied to link various language models and services seamlessly, enabling more complex and versatile language-based applications.
• Gradio: Employed to create a user-friendly web interface that allows users to interact with the model easily, providing inputs and receiving outputs directly.

Getting Started

Prerequisites

• Python 3.x
• Ollama

Installation

STEP 01 - Clone the repository

Clone the repo

git clone https://github.com/AmarnathaGowda/CodeLlamaAssistant.git

STEP 02- OLLAMA Setup

• Download the Ollama CLI from the official website

• On your favort terminal, run the following command to install the ollama

ollama run codellama

• Once the installation is complete, run the following command to create the custom model

ollama create LokiLogic -f Modelfile

STEP 03- Create a conda environment after opening the repository

conda create -n CodeLlamaAssistantEnv python -y

conda activate CodeLlamaAssistantEnv

STEP 04- install the requirements

pip install -r requirements.txt

# Finally run the following command
python app.py

open up localhost URL : http://127.0.0.1:7860