https://github.com/imsanjoykb/text-generation

The goal of this project is to detect the topic of the text and write a proper comment for the text , store the generate comment in database and shows it with rest API.
https://github.com/imsanjoykb/text-generation

flask gpt-2 gradio-interface huggingface mysql nlp

Last synced: 12 months ago
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The goal of this project is to detect the topic of the text and write a proper comment for the text , store the generate comment in database and shows it with rest API.

• Host: GitHub
• URL: https://github.com/imsanjoykb/text-generation
• Owner: imsanjoykb
• License: mit
• Created: 2021-09-10T17:12:36.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2021-09-14T16:02:26.000Z (almost 5 years ago)
• Last Synced: 2025-02-02T06:24:12.772Z (over 1 year ago)
• Topics: flask, gpt-2, gradio-interface, huggingface, mysql, nlp
• Language: Jupyter Notebook
• Homepage: https://imsanjoykb.github.io/
• Size: 1.47 MB
• Stars: 7
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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![alt text](Assets/banner.jpg "Title")

# Author: Sanjoy Biswas

Data Scientist | Machine Learning Engineer 

Website: https://imsanjoykb.github.io/ 

ResearchGate: https://www.researchgate.net/profile/imsanjoykb 

Linkedin: https://www.linkedin.com/in/imsanjoykb/ 

Email: sanjoy.eee32@gmail.com 




## Objective

The goal of this project is to detect the topic of the text and write a proper comment for the text , store the generate comment in database and shows it with rest API.



## Background

Text generation is an application of language modeling, and a subfield of natural language processing. It utilizes techniques in artificial intelligence to automatically generate natural language text, which fits in a certain communication context.

Text generation can be used to write stories, poems, emails, news articles, and more. It is also useful for machine translation.



## Project Installation

Install the virtualenv package

```

pip install virtualenv  

```

Create the virtual environment

```

virtualenv venv 

```

Activate the virtual environment

```

mypthon\Scripts\activate

```

Install Dependencies

```

pip3 install -r requirements.txt

```

Run the text generation code which redirect userinterface of Gradio and the input of the text generate datafile

```

python Text_Generation.py

```

After this, run main.py file which scale the data and connect with database to store data at DB

```

python main.py

```

Then run app.py file which shows all data and also Gradio 

```

python app.py

```



## Project GUI

Gradio Interface for text generation:


![alt text](Assets/Interface1.PNG "Title")

Shows Generated output:


![alt text](Assets/Interface2.PNG "Title")

Store Data at Database:


![alt text](Assets/database1.PNG "Title")

Shows generated data with timestamp in GUI:


![alt text](Assets/data.PNG "Title")



## Citing

```

@misc{AI Text Generation,

  author = {Sanjoy Biswas},

  title = {Detect the topic of the text and write a proper comment for the text,  store the generate comment in database and shows it with rest API.},

  year = {2021},

  publisher = {GitHub},

  journal = {GitHub repository},

  url="https://github.com/imsanjoykb/Text-Generation",

}

```