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updated Readme.md
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- requirements.txt +1 -2
README.md
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# Summarization with txtai
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This project allows you to summarize text and documents using the `txtai` library. The app provides an easy-to-use interface powered by **Streamlit** to input text or upload documents and get concise summaries generated through machine learning models.
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## Features
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- **Text Summarization:** Input text and get a summarized version.
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- **Document Summarization:** Upload documents (e.g., PDFs) and receive a concise summary.
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- **Streamlit UI:** A simple and intuitive interface to interact with the summarization engine.
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## Technologies
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- `txtai` for semantic search and text summarization
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- `Streamlit` for building the user interface
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- `PyPDF2` for reading PDF files
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## How to Run:
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1. Clone the repository and navigate into the project directory.
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2. Install the dependencies by running `pip install -r requirements.txt`.
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3. Start the Streamlit app with `streamlit run app.py`.
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4. Access the app on your browser (usually at `http://localhost:8501`), where you can input text or upload documents for summarization.
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# Author
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Developed by Abdul Rahman H
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## Show Your Support
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If you like this project, please give a⭐
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requirements.txt
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txtai[all]
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streamlit
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PyPDF2
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#langchain_2
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txtai[all]
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streamlit
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PyPDF2
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