📝 Text Summarization Microservice

A lightweight and efficient FastAPI-based microservice for summarizing long-form text using AI models. Built with simplicity, extensibility, and modern Python tooling in mind, ideal as a microservice.

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🚀 Features

• REST API with FastAPI
• Supports customizable summarization with optional parameters
• Logs all requests and responses to request_logs.json
• Uses Pydantic for validation and structured responses
• Easily containerizable and cloud-deployable

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📦 Requirements

Make sure to have Python 3.8+ installed.

.env file that follows this structure:

openai-compatible-model-url=*url*/v1
model-api-key=*key*

Please note that the model-api-key should be set to None if the key is not required, or you will get an error.

Install dependencies in a virtual environment:

python -m venv venv
source venv/bin/activate  # or venv\Scripts\activate on Windows
pip install -r requirements.txt

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🏁 Running the App

To start the FastAPI server locally:

uvicorn main:app --reload

Visit the docs at http://127.0.0.1:8000/docs for interactive API testing.

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🐋 Docker

You can also build the docker-image:

docker build -t summarizer .

And run it:

docker run -d -p 8000:8000 summarizer

Your app will be available at: http://localhost:8000