Update README.md

README.md

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 short_description: Demo project for  llm and fast api
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+Question-Answering (QA) API with FastAPI and Hugging Face
+This project provides a FastAPI-based REST API for performing question-answering tasks using a pre-trained Hugging Face model. The API allows users to submit a context and a question, and it returns the answer extracted from the context.
+
+Key Features
+Lightweight Docker Image: Models are downloaded at runtime, keeping the Docker image small and efficient. #At the mooment supports a single model due to free hardware limitations on the HF spaces
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+Hugging Face Integration: Uses the transformers library to load and run pre-trained QA models.
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+Automated Model Download: Models are automatically downloaded and cached locally if they don't already exist.
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+Swagger Documentation: Interactive API documentation is available at /docs.
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