This project provides a streamlined interface to generate concise, markdown-formatted summaries of company landing pages. It leverages large language models (LLMs) to extract and articulate key information suitable for potential customers, investors, or recruits.

The application allows users to:

Input a company name and URL

Choose from three LLMs: Qwen, DeepSeek, or LLaMA

Automatically scrape and clean website content

Generate a structured summary in real-time

Interactive user interface built with Gradio

Web scraping via BeautifulSoup

Real-time streaming of model output

Support for multiple models via OpenRouter

Python

Gradio (UI framework)

BeautifulSoup (HTML parsing and cleaning)

OpenRouter API (multi-model access)

dotenv (secure environment variable management)

git clone https://github.com/Islam-Reda-13/llm-website-summary.git

pip install -r requirements.txt

OPENAI_API_KEY=your_key_here

OPENROUTER_API_KEY=your_openrouter_key_here

python main.py

├── main.py                  # Gradio interface and app layout
├── models_and_prompting.py # Prompt handling and model streaming logic
├── web_scraping.py         # HTML content scraper using BeautifulSoup
└── requirements.txt        # Python package dependencies```