--- --- overview: description: > This project is a Language Model (LLM) Summarizer that utilizes the power of Hugging Face's Transformers library to generate summaries from given text content. The application is designed to simplify the summarization process, making it easy for users to generate concise summaries for large volumes of text. getting_started: steps: - create_virtual_environment: > Create a virtual environment in Python using [venv](https://docs.python.org/3/library/venv.html) to manage project dependencies. - install_dependencies: > Run the following command to install the required packages from the `requirements.txt` file: ```bash pip install -r requirements.txt ``` - set_huggingface_api_token: > - Obtain your Hugging Face API token from [Hugging Face](https://huggingface.co/). - Set the `HUGGINGFACEHUB_API_TOKEN` environment variable with your Hugging Face API key. Also, ensure that the `api` variable in the code matches your key. - run_application: | Execute the main --- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference