Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

This repository contains the source code for a Text Summarization Application that leverages a Hugging Face model and integrates with a Gradio web interface. Continuous integration is set up using Hugging Face Spaces. Additionally, it provides a command-line tool for text summarization and integrates with FastAPI through main.py.

• Hugging Face Model: Utilizes a pre-trained model from Hugging Face for text summarization.

• Gradio Web Interface: Provides an interactive web interface powered by Gradio for easy input and output interaction.

• Continuous Integration: Uses Hugging Face Spaces for continuous integration to ensure reliable and up-to-date deployments.

• Command-Line Tool: Includes a command-line tool for convenient text summarization from the terminal.

• FastAPI Integration: The main.py file integrates with FastAPI, allowing for RESTful API access to the summarization capabilities.

1. Clone the Repository:

   git clone https://github.com/henrii1/NLP_Text_summarization_huggingface.git
   cd your-NLP_Text_smmarization_huggingface

2. Install Dependencies, Lint, Format and Test:

   make all

3. Run the Application:

   • For the Gradio web interface:

     python app.py

   • For the FastAPI integration:

     uvicorn main:app --reload

4. Access the Application:

   • Gradio web interface: Open your browser and go to http://localhost:7860.
   • FastAPI: Explore the API at http://localhost:8000/docs (Swagger UI) or http://localhost:8000/redoc (ReDoc).

To use the command-line tool for summarization, run:

python appCLI.py --text "Your input text goes here."