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isabel/pet-project

sourceHugging Faceupdated 5y agoView on Hugging Face
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reader.py161 linesDownload Raw Back to root
1import os2from yattag import Doc3## --------------------------------- ###4###        reading: info.txt         ###5### -------------------------------- ###6# placeholders in case info.txt does not exist7def get_article(acc, most_imp_feat):8  filename = "info.txt"9  placeholder =  "please create an info.txt to customize this text"10  note = "**Note that model accuracy is based on the uploaded data.csv and reflects how well the AI model can give correct recommendations for that dataset. An accuracy of 50% means that half of the model's predictions for that dataset were accurate. Model accuracy and most important feature can be helpful for understanding how the model works, but should not be considered absolute facts about the real world."11  12  title = bkgd = data_collection = priv_cons = bias_cons = img_src = membs = description = placeholder13  # check if info.txt is present14  if os.path.isfile(filename):15      # open info.txt in read mode16      info = open(filename, "r")17  18      # read each line to a string19      description = "An AI project created by " + info.readline()20      title = info.readline()21      bkgd = info.readline()22      data_collection = info.readline()23      priv_cons = info.readline()24      bias_cons = info.readline()25      img_src = info.readline()26      membs = info.readline()27      28      # close file29      info.close()30      31  # use yattag library to generate html32  doc, tag, text, line = Doc().ttl()33  # create html based on info.txt34  with tag('div'):35    with tag('div', klass='box model-container'):36      with tag('div', klass='spacer'):37        with tag('div', klass='box model-div'):38          line('h2', "Model Accuracy", klass='acc')39          line('p', acc)40        with tag('div', klass='box model-div'):41          line('h2', "Most Important Feature", klass='feat')42          line('p', most_imp_feat)43      with tag('div', klass='spacer'):44        line('p', note)45    with tag('div', klass='box'):46      line('h2', 'Problem Statement and Research Summary', klass='prj')47      line('p', bkgd)48    with tag('div', klass='box'):49      line('h2', 'Data Collection Plan', klass='data')50      line('p', data_collection)51    with tag('div', klass='box'):52      line('h2', 'Ethical Considerations (Data Privacy and Bias)', klass='ethics')53      with tag('ul'):54        line('li', priv_cons)55        line('li', bias_cons)56    with tag('div', klass='box'):57      line('h2', 'Our Team', klass='team')58      line('p', membs)59      doc.stag('img', src=img_src)60      61  css = '''62  .box {63    border: 2px solid black;64    text-align: center;65    margin: 10px;66    padding: 5%;67  }68  ul {69    display: inline-block;70    text-align: left;71  }72  img {73    display: block;74    margin: auto;75  }76  .description {77    text-align: center;78  }79  .panel_button {80    display: block !important;81    width: 100% !important;82    background-color: #00EACD !important;83    color: #000;84    transition: all .2s ease-out 0s !important; 85    box-shadow: 0 10px #00AEAB !important;86    border-radius: 10px !important;87  }88  .panel_button:hover {89    box-shadow: 0 5px #00AEAB;90    transform: translateY(5px);91  }92  .submit {93    color: black !important;94  }95  .selected {96    background-color: #656bd6 !important;97  }98  .radio_item {99    border-radius: 10px;100    padding-left: 10px !important;101    padding-right: 10px !important;102  }103  .radio_item:hover {104    color: #656bd6 !important;105  }106  .title {107    background-image: url(https://media.giphy.com/media/26BROrSHlmyzzHf3i/giphy.gif);108    background-size: cover;109    color: transparent;110    -moz-background-clip: text;111    -webkit-background-clip: text;112    text-transform: uppercase;113    font-size: 60px;114    line-height: .75;115    margin: 10px 0;116  }117  .panel_header {118    color: black !important;119  }120  input {121    background-color: #efeffa !important;122  }123  .acc, .feat {124    background-color: #FF3399 !important125  }126  .prj {127    background-color: #FFCE3B !important;128  }129  .data {130    background-color: #ED6800 !important;131  }132  .ethics {133    background-color: #3EE6F9 !important;134  }135  .team {136    background-color: #9581EF !important; 137  }138  .model-container {139    display: flex;140    flex-direction: column;141    justify-content: center;142  }143  .spacer {144    display: flex;145    justify-content: center;146  }147  .model-div {148    width: 45%;149  }150  @media screen and (max-width: 700px) {151    .model-container {152      flex-wrap: wrap;153    }154  }155  '''156  return {157    'article': doc.getvalue(),158    'css': css,159    'title': title,160    'description': description,161  }