| title | Text Summarization |
|---|---|
| emoji | 😊 |
| colorFrom | pink |
| colorTo | blue |
| sdk | gradio |
| sdk_version | 5.20.1 |
| app_file | app.py |
| pinned | false |
Welcome to the Text Summarization App! This application leverages the power of Hugging Face's BART model to provide high-quality text summarization. The app is built using Gradio, a user-friendly interface for machine learning models.
- Input Text: Enter the text you want to summarize.
- Summarize: Click the "🔍 Summarize" button to generate a summary of the input text.
- Reset: Clear the input and output fields with the "🔄 Reset" button.
- Provide Feedback: Provide feedback on the generated summary with the "👍 Provide Feedback" button.
- Load Example: Load a sample text to see how the summarization works.
- Enter Text: Type or paste the text you want to summarize into the "Input Text" box.
- Summarize: Click the "🔍 Summarize" button to generate a summary.
- Reset: Click the "🔄 Reset" button to clear the input and output fields.
- Feedback: Provide feedback on the summary using the "👍 Provide Feedback" button.
- Example: Click the "📄 Load Example" button to load a sample text.
This app uses the BART model from Hugging Face, which is a powerful transformer model for text summarization.
Visit the Hugging Facen App.
- Hugging Face: For providing the BART model and the transformers library.
- Gradio: For the easy-to-use interface for machine learning models.
This project is licensed under the MIT License. See the LICENSE file for details.