🔗 LinkedIn Project Caption Generator

A sleek, GenAI-powered Streamlit app that crafts captivating LinkedIn captions for your technical projects using LLaMA3-70B via GroqCloud and LangChain.

✨ Stop staring at a blank text box. Let AI write your next project caption.

🚀 Features

• 🔥 Uses LLaMA3-70B from Groq — ultra-fast and high-quality generation
• 🧠 Built with LangChain for composable chains
• 📋 One-click caption generation and copy
• ✨ Emojis, hashtags, and multiple tone styles
• 💾 Local session state: generate + regenerate smoothly
• 🧼 Clean and responsive Streamlit UI

🧱 Tech Stack

• Streamlit — UI
• LangChain — chaining LLM + prompt
• GroqCloud — blazing-fast LLaMA3 inference
• Python (.env, os, dotenv) — config and env management

📁 Folder Structure

linkedin-caption-generator/
├── app.py              # Streamlit frontend
├── llama_chain.py      # LangChain + Groq model logic
├── .env                # Your Groq API key (not committed)
├── requirements.txt    # Project dependencies
└── README.md           # Project overview and setup

🛠️ Setup Instructions

1. Clone the repo

git clone https://github.com/your-username/linkedin-caption-generator.git
cd linkedin-caption-generator

2. Create a virtual environment

python -m venv venv
venv\Scripts\activate  # On Windows
# Or
source venv/bin/activate  # On macOS/Linux

3. Install dependencies

pip install -r requirements.txt

4. Add your Groq API Key

Create a .env file in the root directory:

GROQ_API_KEY=gsk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

▶️ Run the App

streamlit run app.py

🧪 Example Inputs

Field	Example
Title	LinkedIn Caption Generator
Description	A web app that crafts AI-powered LinkedIn captions using LLaMA3 & Groq
Tech Stack	Streamlit, LangChain, LLaMA3, GroqCloud
Outcome	Automated content creation with a professional touch
Reflection	Learned how to combine GenAI tools into a production-level project
Tone	Enthusiastic

📝 Output Example

🚀 Introducing the LinkedIn Project Caption Generator! 💻✨
This game-changing tool uses cutting-edge GenAI technology to craft captivating captions for your technical projects, saving you time and elevating your personal brand. 📈

Built using Streamlit, LangChain, and LLaMA3 via GroqCloud, it makes your project updates shine on LinkedIn. 🌐

Try it now and take your content to the next level! 💥

#GenAI #LinkedInTips #Innovation #ContentCreation #LLM

✅ Todo / Enhancements

• Add real clipboard copy support (e.g. via pyperclip)
• Support custom hashtag presets
• Store caption history
• Optional RAG context injection (ChromaDB)

🙋‍♂️ Why I Built This

As a developer, I’ve often struggled to describe my projects in an engaging way. This app helps solve that, turning raw project inputs into polished LinkedIn content. Built using only open-source + free tools, it’s fast, lightweight, and extendable.

📄 License

MIT License © Dwinayan