📝✨ BlogGeneration

A simple Streamlit app that generates blog content using the powerful LLaMA 2 language model via LangChain and CTransformers. 🚀🧠

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🚀 Features

• 🖋️ Generate blog articles from your custom topics
• 🤖 Runs TinyLLaMA (LLaMA 2) model locally for fast and private inference
• 🎨 Beautiful, easy-to-use Streamlit UI
• ⚡ Powered by ctransformers for efficient, offline model execution
• 🧩 Flexible prompt templating with LangChain

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🛠️ Technologies Used

• 🐍 Python
• 🌐 Streamlit
• 🔗 LangChain
• ⚙️ CTransformers (local LLaMA 2 inference)
• 📦 Hugging Face .gguf model files

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📦 Installation

1️⃣ Clone the Repo

git clone https://github.com/utsab345/BlogGeneration.git
cd BlogGeneration

2️⃣ Setup Virtual Environment (Recommended)

python -m venv env
# Activate it:
# Windows:
env\Scripts\activate
# macOS/Linux:
source env/bin/activate

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Download LLaMA Model

Download your TinyLLaMA .gguf model and place it inside the models/ folder.

5️⃣ Run the App

streamlit run app.py

📸 Screenshot

📄 License

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