Commenter

This project is an AI-powered tool designed to generate intelligent and context-aware comments for social media posts. It consists of a backend and a frontend, making it easy to use and extend.

Now supports multiple platforms with platform selection!

Features

• AI-generated comments for social media posts
• Platform selection: Choose between LinkedIn and X (Twitter)
• Modern frontend built with Next.js
• Backend API for AI processing
• Easy setup and deployment

Project Structure

.
├── linkedin_commenter.py           # Main script (if running standalone)
├── requirements.txt                # Python dependencies (root)
├── backend/                        # Backend API (Python)
│   ├── main.py                     # FastAPI or Flask app
│   ├── requirements.txt            # Backend-specific dependencies
├── frontend/                       # Frontend (Next.js)
│   ├── package.json                # Frontend dependencies
│   ├── src/app/                    # Main app source
│   └── public/                     # Static assets

Getting Started

Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Install Python dependencies:

   pip install -r requirements.txt

3. Run the backend server:

   python main.py

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Install Node.js dependencies:

   npm install

3. Start the development server:

   npm run dev

Usage

• Access the frontend in your browser (usually at http://localhost:3000).
• Select your desired platform (LinkedIn or X) from the options.
• The frontend communicates with the backend to generate AI-powered comments for the selected platform.

Supported Platforms

• LinkedIn
• X (Twitter)

Requirements

• Python 3.8+
• Node.js 18+