✨ LinkedIn Post Generator

This project is a LinkedIn Post Generator application that uses an LLM to generate posts based on a selected LinkedIn creator’s style, specific topic, and post length. This app is built using Streamlit and allows users to generate LinkedIn posts that align with the style of popular content creators.

Here is a screenshot of the LinkedIn Post Generator app.

🚀 Features

• Generate posts according to Topic (Tags) and Length selected by the user.
• Choose from multiple LinkedIn content creators (Irfan Malik, Hisham Sarwar, Usman Asif) with each creator's unique post style.
• Intuitive interface and LinkedIn-style icon integration.
• Leverages LLMs for generating post content.

🔧 Installation

1. Clone the repository:

   git clone https://github.com/Zeeshier/GenAI-Posts-Generator.git
   cd GenAI-Posts-Generator

2. Install dependencies:

   pip install -r requirements.txt

3. Create a .env file: To use the LLM for post generation, you'll need to add a Groq Cloud API Key to the .env file:

   GROQ_CLOUD_API_KEY=your_api_key_here
   

4. Run the application:

   streamlit run app.py

🛠️ Usage

1. Select Creator: Choose a LinkedIn creator to generate posts in their style.
2. Select Topic and Length: Choose the desired topic and length for the post.
3. Generate: Click on the Generate Post button to view the generated content.

📂 Project Structure

• app.py: Main Streamlit application file.
• fewshot.py: Handles loading and filtering posts based on selected tags and length.
• postgenerate.py: Module for generating post content based on input.
• Data/: Folder containing processed JSON files for each creator.