Spaces:
Sleeping
Sleeping
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README.md
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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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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Hugging Face's Transformers library to generate summaries from given text content.
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The application is designed to simplify the summarization process, making it easy
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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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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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```bash
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pip install -r requirements.txt
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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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- 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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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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