Spaces:
Runtime error
Runtime error
File size: 4,365 Bytes
6b2dd7a b23a909 6b2dd7a e8f05b9 f6cd2fc dec799a e8f05b9 7f1c2ca 4b472fe afe291a 4b472fe afe291a 4b472fe 6b2dd7a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 |
<<<<<<< HEAD
---
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 an application, an 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 an interface which allows users to summarize 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 a transformer model.
For the interface part, we wanted to create an interface building with a fastAPI framework and put the application on Huggingface.
## Getting Started
### Get prepared
* Open the link below directing towards our interface on huggingface.
```
https://huggingface.co/spaces/EveSa/SummaryProject
```
### The interface
* 1- Choose a model for your summarization task (LSTM/Fine-tuned T5) by clicking on the scroll-down list. And click the Select model button.
* 2- Enter your text to summarize in the left section.
* 3- Click on 'Go!' botton and you will get your summary!
* 4- Don't 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 :
### Get prepared
* In order to run the script, you need to :
* 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 program api.py
* Run the script with the command below :
```
python3 api.py
```
* This code generates the same page as on Huggingface in your browser. To do the task, you may follow the steps in the previous section.
## Authors
Eve SAUVAGE
Estelle SALMON
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
>>>>>>> 7f1c2ca2f0a0475d3903b3261a03b02bfaad7374
|