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| title: QAModel | |
| emoji: 👀 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: docker | |
| pinned: false | |
| license: mit | |
| short_description: Demo project for llm and fast api | |
| 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 | |
| Hugging Face Integration: Uses the transformers library to load and run pre-trained QA models. | |
| Automated Model Download: Models are automatically downloaded and cached locally if they don't already exist. | |
| Swagger Documentation: Interactive API documentation is available at /docs. | |