OWDM/COOP-Training

COOP-Training

This project is part of the COOP Training program, focusing on LLMs based applications.

Installation

1. Clone the repository:

   git clone https://github.com/OWDM/COOP-Training.git
   cd COOP-Training
   

2. (Optional but recommended) Create and activate a virtual environment:

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

3. Install the required dependencies:

   pip install -r requirements.txt
   

Running the Arabic Summarizer Streamlit App

To run the Arabic Summarizer application:

1. Navigate to the Arabic Summarizer directory:

   cd week3/Arabic_Summarizer
   

2. Run the Streamlit app:

   streamlit run app.py
   

3. Open your web browser and go to the URL displayed in the terminal (usually http://localhost:8501).

The Streamlit app should now be running, and you can interact with the Arabic Summarizer through the web interface.

Dependencies

This project relies on the following main packages:

• langchain and langchain-community
• openai
• faiss-cpu
• streamlit
• python-dotenv
• pydantic
• SQLAlchemy
• tiktoken

For a complete list with versions, see the requirements.txt file.

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