This tool automatically searches for scholarly articles by a specific researcher and generates professional LinkedIn posts based on the selected articles.

• Search for researchers and their published papers using the Semantic Scholar API
• Select specific papers to create content for
• Generate professional LinkedIn posts using OpenAI's GPT models
• Save generated posts to a text file

1. Clone this repository:

   git clone https://github.com/davidepiolomonaco/ai-post-generator
   cd ai-post-generator
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

Run the application with:

python3 main.py

The application will:

1. Prompt for your OpenAI API key (if not already stored)
2. Ask for the name of the researcher you want to search for
3. Display a list of papers authored by the researcher
4. Let you select which papers to generate LinkedIn posts for
5. Generate and save the posts to output/posts.txt

1. Go to OpenAI's platform website
2. Create an account or log in if you already have one
3. Navigate to the API keys section
4. Click "Create new secret key"
5. Copy the generated API key (note that you won't be able to see it again)
6. Use this key when prompted by the application

• main.py: Command-line interface and orchestration
• article_search.py: Handles searching for researchers and their papers
• post_generation.py: Generates LinkedIn posts using OpenAI's API

This project uses:

• Typer for the command-line interface
• OpenAI API for generating content
• Semantic Scholar API for academic paper search