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- title: SIMPLIFY Text Summarizer
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- emoji: πŸš€
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- colorFrom: indigo
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- colorTo: red
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- sdk: gradio
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- sdk_version: 4.15.0
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- app_file: app.py
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- pinned: false
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  ---
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+ ---
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+ overview:
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+ description: >
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+ This project is a Language Model (LLM) Summarizer that utilizes the
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+ power of
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+
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+ Hugging Face's Transformers library to generate summaries from given text content.
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+
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+ The application is designed to simplify the summarization process, making it easy
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+
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+ for users to generate concise summaries for large volumes of text.
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+ getting_started:
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+ steps:
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+ - create_virtual_environment: >
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+ Create a virtual environment in Python using
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+ [venv](https://docs.python.org/3/library/venv.html)
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+
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+ to manage project dependencies.
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+ - install_dependencies: >
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+ Run the following command to install the required packages
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+ from the `requirements.txt` file:
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+
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+ ```bash
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+
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+ pip install -r requirements.txt
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+
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+ ```
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+ - set_huggingface_api_token: >
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+ - Obtain your Hugging Face API token from [Hugging
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+ Face](https://huggingface.co/).
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+
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+ - Set the `HUGGINGFACEHUB_API_TOKEN` environment variable with your Hugging Face API key.
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+ Also, ensure that the `api` variable in the code matches your key.
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+ - run_application: |
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+ Execute the main
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+
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  ---
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference