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Agentic Code Review Analyst: A Python Code Review Assistant Powered by OpenAI & LangChain

Overview

The Agentic Code Review Analyst is a web application that automates the process of reviewing Python code. Leveraging OpenAI's GPT-3.5-turbo model in conjunction with LangChain, this tool provides a detailed, line-by-line analysis and suggestions to help developers improve code quality and maintainability.

Key Features

• Automated Code Review: Upload Python (.py) files to receive comprehensive feedback.
• Agentic AI Integration: Utilizes advanced AI to simulate a human-like code review.
• LangChain Framework: Streamlines the AI interaction process.
• User-Friendly Interface: Built with Streamlit for an intuitive user experience.
• Downloadable Reports: Save review outputs with timestamps for tracking improvements.

Technical Details

The project is built with the following technologies:

• Python: Core language for development.
• Streamlit: Provides the web interface.
• OpenAI API: Powers the code analysis using the GPT-3.5-turbo model.
• LangChain: Manages interactions with the OpenAI API efficiently.

Code Snippet: Processing Uploaded Code

import streamlit as st
import openai

def review_code(file):
    code = file.read().decode("utf-8")
    # Generate code review using OpenAI's GPT-3.5-turbo
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a code review assistant."},
            {"role": "user", "content": f"Please review the following code:\n\n{code}"}
        ]
    )
    return response.choices[0].message.content

uploaded_file = st.file_uploader("Upload your Python file", type="py")
if uploaded_file is not None:
    review = review_code(uploaded_file)
    st.text_area("Code Review", review)