Dialogue Summarization application hosted using AWS and CICD deployment with docker and FASTAPI. Model card created in HuggingFace and a deployed on HuggingFace Spaces.
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Updated
Jan 11, 2024 - Jupyter Notebook
Dialogue Summarization application hosted using AWS and CICD deployment with docker and FASTAPI. Model card created in HuggingFace and a deployed on HuggingFace Spaces.
Automating text summarization using machine learning techniques. Utilizing the Samsum dataset, our model generates concise summaries while retaining key information. Improves content comprehension and efficiency for information retrieval, content curation, and productivity enhancement.
The Text Summarizer project aims to distill the key points from lengthy articles, paragraphs, or conversations. Utilizing FastAPI, the project leverages Pegasus, a Google model, which operates on the Samsum dataset hosted on Hugging Face.
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