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| title: Amikus_text_summarizer | |
| emoji: 🔥 | |
| colorFrom: red | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 2.9.1 | |
| app_file: app.py | |
| pinned: false | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference | |
| Readme | |
| For this application I have created three features: | |
| 1.sumarizer | |
| 2.keyword extraction | |
| 3. paraphraze text | |
| 1.Sumarizer: | |
| for this I have used transformers library, sumarization pipeline ,to sumarize the text (see sumarize fuction) | |
| the parameters are max_length = 200, min_lenth = 30 | |
| 2. key_word extraction: this feature extracts 20 keyword from the text each of length of 3 or less tha 3 words, | |
| see the same sumarize function | |
| the lib I have used for this is yake and its function KeywordExtractor | |
| 3.paraphraze text: | |
| for this i have used PEGASUS from transformers library.I used senstence-splitter to split the text into a list of sentences. | |
| Then paraphrazed each of the sentences and then compiled them back into a paragraph. | |
| I am using a pre trained model = 'tuner007/pegasus_paraphrase' for this. | |
| The selection of example texts was based on my own areas of fascination like robotics, ancient history and astronomy. | |