Post Generator

Post Generator is a AI-based Streamlit application that transforms text inputs into professionally crafted social media posts for LinkedIn and X (formerly Twitter) using OpenAI's GPT models.

Features ✨

• 📝 Multiple text input methods:
  • Direct text input
  • File upload support (txt, pdf, docx)
  • Multi-file processing
• 🎯 Platform-specific optimization:
  • LinkedIn posts (up to 3000 characters)
  • X posts (up to 280 characters)
• ⚙️ Customizable post preferences:
  • Professional or casual tone
  • Adjustable emoji usage (None/Few/Many)
  • Platform-specific formatting
• 🤖 Advanced AI Models:
  • Support for multiple GPT models (gpt-4o, gpt-4o-mini, o1-mini, o1-preview)
• 📋 Easy-to-use interface:
  • One-click post generation
  • Copy to clipboard functionality
• 🔒 Secure API key handling

Prerequisites 🛠️

• Python 3.11
• OpenAI API key
• Streamlit
• OpenAI Python package
• python-docx
• PyPDF2

Installation 💻

1. Clone this repository:

git clone https://github.com/felixfrohboese/post-generator.git

2. Install required packages:

pip install -r requirements.txt

3. Run the application:

streamlit run app.py

Usage 📱

1. API Key Setup 🔑

   • Enter your OpenAI API key in the designated field
   • The application will validate your key before proceeding

2. Select AI Model 🤖

   • Choose from available models (gpt-4o, gpt-4o-mini, o1-mini, o1-preview)

3. Input Content 📝

   • Choose between direct text input or file upload
   • Supported file formats: .txt, .pdf, .docx
   • Multiple files can be uploaded simultaneously

4. Configure Post Preferences ⚙️

   • Select target platform (LinkedIn or X)
   • Choose tone (Professional/Casual)
   • Set emoji usage level
   • Adjust maximum length (auto-set based on platform)

5. Generate and Copy ✨

   • Click "Generate Post" to create your content
   • Use "Copy to Clipboard" to easily transfer the generated post

Important Notes ⚠️

• All inputs are processed in the current session
• The application requires an active internet connection
• API usage is subject to OpenAI's pricing and usage policies
• Platform-specific formatting is automatically applied

Technical Details 🔧

• Built with Streamlit for the web interface
• Integrates with OpenAI's GPT models
• Supports multiple document formats
• Implements platform-specific content guidelines
• Uses reference examples for improved output quality

Privacy & Security 🔒

• API keys are handled securely and not stored
• File processing is done in-memory
• No data is retained after the session ends

Contributing 🤝

Contributions are welcome! Please feel free to submit a Pull Request.

License 📄

This project is licensed under the MIT License - see the LICENSE file for details.