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README.md

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 title: SummaryProject
 sdk: docker
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 Lingyun GAO
 
-
 ## License
 
-Copyright. All rights reserved.
-=======
----
-title: SummaryProject
-sdk: docker
-app_file: src/api.py
-pinned: false
----
-
-# Project Deep Learning - Text Summarisation tool and it's application programming interface
-
-As part of the master course "Neural Network",for this university project, our task is about creating a application, a interface or a python library in the use of NLP(Natural Language Processing) with the help of an artificial neural network system.
-
-
-## Description
-
-**Objectives of our project :**
-
-Create a interface which allows users to sammrize a long text like press article into a brief version.
-
-To achieve this general objective, for the algorithm part, we would like to test two different deep learning methods: setting up a LSTM model and fine tuning Transformer model.
-
-For the interface, having a interface building with fastAPI framework and putting the application on Huggingface.
-
-
-## Getting Started
-
-### Préparation
-
-* Open the link below directing towards our interface on huggingface.
-```
-https://huggingface.co/spaces/EveSa/SummaryProject
-```
-### The interface
-
-* 1- Choosing a model for your summarization task (LSTM/Fine-tuned T5) by clicking on the scroll-down list. And click the Select model botton.
-
-* 2- Enter your text to summarize in the left section.
-
-* 3- Click on 'Go!' botton and you will get your sammary!
-
-* 4- Dont forget to reset the App for your next try. The botton is at the right next to 'Go!'.
-
-## In case you want to try to execute our scripts :
-
-### Préparation
-* In order to run the script, you need:
-
-* 1- Create a virtual environment named .venv
-```
-python3 -m virtualenv .venv
-source .venv/bin/activate
-```
-* 2- Also install the dependencies
-```
-pip install -U -r requirements.txt
-```
-
-* You are now ready to execute the scripts ^^
-
-### The programme api.py
-
-* Run the script with the command below:
-```
-python3 api.py
-```
-* This code generate the same page as on Huggingface in your browser. To do the task your may follow the steps in the previous section.
-
-## Authors
-
-Eve Sauvage
-
-Estelle SALMON
-
-Lingyun GAO
-
-
-## License
-
-This project is licensed under the [M2 TAL] License
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+This project is licensed under the [M2 TAL] License