Spaces:
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| title: Testingwspace | |
| emoji: π | |
| colorFrom: indigo | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.8.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # PDF Summarization & Audio Tool | |
| ## Description | |
| This Gradio app summarizes the abstract of a PDF in one sentence and generates an audio file. It uses the "ArtifactAI/led_large_16384_arxiv_summarization" model to generate summaries. | |
| ## How to Use | |
| 1. **Upload PDF:** Click on the "Upload PDF" button to upload a PDF file. Ensure that the PDF contains an abstract or introduction section. | |
| 2. **View Summary:** The app will display a one-sentence summary of the abstract. | |
| 3. **Listen to Summary:** Click on the "Listen" button to hear an audio summary of the abstract. | |
| ## Examples | |
| To test the app, you can use the provided example PDF's in the `examples` directory. Follow these steps: | |
| 1. Upload one of the example PDFs. | |
| 2. Check the generated summary and listen to the audio. | |
| ### Example PDFs | |
| - [Example 1](https://drive.google.com/file/d/159MEhJuP4UpSCTYTn2ACLqNfAhLVVePx/view?usp=sharing) | |
| - [Example 2](https://drive.google.com/file/d/1_q7mf2PDVTGRKCDvmcvoBHsV6z1-5Tv2/view?usp=sharing) | |
| ## Notes | |
| - Ensure that the uploaded PDF contains an abstract or introduction section for accurate results. | |
| - For the best experience, use the provided examples first to understand how the app works. | |
| ## Development | |
| To run the app locally: | |
| ```bash | |
| pip install -r requirements.txt | |
| python app.py | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |