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[제10회 투빅스 컨퍼런스] Illustration Creating Service based on KoBERT and Fast Style Transfer

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GetPic

presented at The 10th Tobigs Conference in July 2020


Table of Contents


1. About getPic

getPic is a service that create illustration based on the input writing.
The illustration is made based on the writing's context and emotion.
getPic is a project developed by ToBigs Team3 using KoBERT, Komoran, Kwaii, TextRank, Fast-style Transfer, etc.
getPic is both available in Web and Chatbot. So feel free to try!

getPic은 입력 글의 내용과 감정에 어울리는 그림을 만들어줍니다.
이는 투빅스 제10회 컨퍼런스 3팀으로 참여한 작품이며, KoBERT, Komoran, Kwaii, TextRank, Fast-style Transfer 등을 사용합니다.
챗봇, 두 가지 방법으로 구현되어 있으니 참조 바랍니다.

Example (ChatBot)

You can freely download the resulted image :)
완성된 이미지를 자유롭게 저장하여 활용하세요 :)

Example (Web)

You can freely download the resulted image :)
완성된 이미지를 자유롭게 저장하여 활용하세요 :)


2. ChatBot

2.0. Install

  • Get access to the drive, download bert_weight.pth file, and put the file into the location getPic_chatbot/weight/

  • 이 드라이브에서 bert_weight.pth 파일을 다운로드 받아 getPic_chatbot/weight/ 경로에 넣어주시기 바랍니다.

2.1. Test in Colab

  • We recommend using GPU in Colab. You can change the runtime type by :[Runtime]-[Change runtime type]-[GPU]

  • Colab에서 [런타임] - [런타임 유형 변경] - 하드웨어 가속기(GPU) 사용을 권장합니다.

  • test.ipynb: Open In Colab


3. Web

3.0. Install

  • Get access to the drive, download bert_weight.pth file, and put the file into the location getPic_web/weight/

  • 이 드라이브에서 bert_weight.pth 파일을 다운로드 받아 getPic_web/weight/ 경로에 넣어주시기 바랍니다.

3.1. At the Anaconda Prompt

  • Create virtual environment
conda create -n virtual_environment_name
  • Activate virtual environment
conda activate virtual_environment_name
  • Clone and install requirements
git init
git config core.sparseCheckout true
git remote add -f origin https://github.com/602-go/getPic.git
echo "getPic_web" >> .git/info/sparse-checkout
git pull origin master
cd getPic_web
pip install -r requirements.txt

3.2. At the PyCharm

  • Activate virtual environment
conda activate virtual_environment_name
  • Execution
python main_web.py

4. Contributing


Kio

📧

Jane

📧

Sun

📧

Ellie

📧

Anna

📧

Julia

📧

5. Links

If you need more details about our project, visit DataMarket and look how we developed our project!

프로젝트에 관한 더욱 자세한 정보를 원하시면 데이터마켓 공식 홈페이지를 참고해주시기 바랍니다.


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[제10회 투빅스 컨퍼런스] Illustration Creating Service based on KoBERT and Fast Style Transfer

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