Ice Breaker Project

This project is designed to scrape LinkedIn profiles and generate ice breaker summaries using the LangChain and Ollama APIs.

Features

• Scrape LinkedIn profiles for detailed information.
• Generate summaries and interesting facts about individuals.
• Utilize LangChain and Ollama for natural language processing.

Setup

1. Clone the repository:

   git clone https://github.com/Klaus-in-Tech/ice-break-llm-project.git
   cd ice_breaker

2. Create a virtual environment and activate it:

   python -m venv venv
    # On Windows use `venv\Scripts\activate`

3. Create a .env file in the root directory and add your API keys:

   PROXYCURL_API_KEY=<your_proxycurl_api_key>
   LANGCHAIN_API_KEY=<your_langchain_api_key>

Usage

To run the project, use the following command:

python ice_breaker.py

Example

The script will scrape the LinkedIn profile of "Kakooza Allan Klaus" and generate a summary. You can change the name in the ice_breaker_with function call in ice_breaker.py.

Files

• ice_breaker.py: Main script to run the ice breaker generation.
• linkedin.py: Contains the function to scrape LinkedIn profiles.
• twitter.py: (Commented out) Contains the function to scrape Twitter profiles.

License

This project is licensed under the MIT License.