diff --git a/assets/json_text.json b/assets/json_text.json
index b8177a35f64f22f16224949cf9e8c88ae7fdbe6b..dcba36134119bf4d677974bd7f742c56c583e454 100644
--- a/assets/json_text.json
+++ b/assets/json_text.json
@@ -1 +1 @@
-{"nodes": [], "links": []}
\ No newline at end of file
+{"nodes": [{"doi": "https://doi.org/10.1021/acs.jcim.5b00332", "name": "Feasibility of Active Machine Learning for Multiclass Compound Classification", "author": ["Tobias Lang", "Florian Flachsenberg", "Ulrike von Luxburg", "Matthias Rarey"], "year": "January 7, 2016", "journal": "Journal of Chemical Information and Modeling", "group": "Input", "depth": 0, "citations": 31}, {"doi": "https://doi.org/10.1021/acs.jmedchem.1c01683", "name": "Active Learning for Drug Design: A Case Study on the Plasma Exposure of Orally Administered Drugs", "author": ["Xiaoyu Ding", "Rongrong Cui", "Jie Yu", "Tiantian Liu", "Tingfei Zhu", "Dingyan Wang", "Jie Chang", "Zisheng Fan", "Xiaomeng Liu", "Kaixian Chen", "Hualiang Jiang", "Xutong Li", "Xiaomin Luo", "Mingyue Zheng"], "year": "November 15, 2021", "journal": "Journal of Medicinal Chemistry", "group": "Citedby", "depth": 1, "citations": 0}, {"doi": "https://doi.org/10.1021/acs.chemrev.8b00728", "name": "Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery", "author": ["Xin Yang", "Yifei Wang", "Ryan Byrne", "Gisbert Schneider", "Shengyong Yang"], "year": "July 11, 2019", "journal": "Chem. Rev.", "group": "Citedby", "depth": 1, "citations": 98}, {"doi": "https://doi.org/10.1021/acs.jcim.8b00626", "name": "De Novo Molecule Design by Translating from Reduced Graphs to SMILES", "author": ["Peter Pog\u00e1ny", "Navot Arad", "Sam Genway", "Stephen D. Pickett"], "year": "December 11, 2018", "journal": "Journal of Chemical Information and Modeling", "group": "Citedby", "depth": 1, "citations": 24}, {"doi": "https://doi.org/10.1021/acscentsci.8b00176", "name": "Designing Algorithms To Aid Discovery by Chemical Robots", "author": ["Alon B. Henson", "Piotr S. Gromski", "Leroy Cronin"], "year": "July 3, 2018", "journal": "ACS Cent. Sci.", "group": "Citedby", "depth": 1, "citations": 46}, {"doi": "https://doi.org/10.1021/acs.jcim.7b00729", "name": "Modeling Kinase Inhibition Using Highly Confident Data Sets", "author": ["Sorin Avram", "Alina Bora", "Liliana Halip", "Ramona Curp\u0103n"], "year": "April 30, 2018", "journal": "Journal of Chemical Information and Modeling", "group": "Citedby", "depth": 1, "citations": 8}, {"doi": "https://doi.org/10.1021/acs.jcim.5b00646", "name": "Predictive Models for Fast and Effective Profiling of Kinase Inhibitors", "author": ["Alina Bora", "Sorin Avram", "Ionel Ciucanu", "Marius Raica", "Stefana Avram"], "year": "April 11, 2016", "journal": "Journal of Chemical Information and Modeling", "group": "Citedby", "depth": 1, "citations": 14}, {"doi": "https://doi.org/10.1021/acs.jcim.6b00709", "name": "Matched Molecular Series: Measuring SAR Similarity", "author": ["Emanuel S. R. Ehmki", "Christian Kramer"], "year": "May 1, 2017", "journal": "Journal of Chemical Information and Modeling", "group": "Input", "depth": 0, "citations": 5}, {"doi": "https://doi.org/10.1021/acs.jcim.0c00269", "name": "Matched Molecular Series Analysis for ADME Property Prediction", "author": ["Mahendra Awale", "Sereina Riniker", "Christian Kramer"], "year": "May 5, 2020", "journal": "Journal of Chemical Information and Modeling", "group": "Citedby", "depth": 1, "citations": 6}], "links": [{"source": "https://doi.org/10.1021/acs.jmedchem.1c01683", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.chemrev.8b00728", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.jcim.8b00626", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acscentsci.8b00176", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.jcim.7b00729", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.jcim.5b00646", "target": "https://doi.org/10.1021/acs.jcim.5b00332"}, {"source": "https://doi.org/10.1021/acs.jcim.0c00269", "target": "https://doi.org/10.1021/acs.jcim.6b00709"}, {"source": "https://doi.org/10.1021/acs.chemrev.8b00728", "target": "https://doi.org/10.1021/acs.jcim.8b00626"}, {"source": "https://doi.org/10.1021/acs.jcim.7b00729", "target": "https://doi.org/10.1021/acs.jcim.5b00646"}]}
\ No newline at end of file
diff --git a/citation_parser_ui.py b/citation_parser_ui.py
index c2b119dce5075fb6f1e11226dbf866abccd1d4fe..a9d9161f11635449d07535afa0804aae87a514ae 100644
--- a/citation_parser_ui.py
+++ b/citation_parser_ui.py
@@ -10,9 +10,9 @@ from dash.exceptions import PreventUpdate
from input.interface import InputInterface
import input.publication
from verarbeitung.process_main import Processing
-from dash.dependencies import Input, Output, State #Loading Bar
+from dash.dependencies import Input, Output, State
import plotly.express as px
-import dash_bootstrap_components as dbc # pip install dash-bootstrap-components for Loading Bar
+import dash_bootstrap_components as dbc # pip install dash-bootstrap-components
@@ -28,9 +28,10 @@ boxcontent = f.read()
f.close()
app.layout = html.Div([
+html.Div(children=[
# Layer 0: For the Header and Help Function(s)
dbc.Button(
- 'show Info',
+ 'Show Info',
id='collapse-button',
className="me-1",
color="primary",
@@ -43,7 +44,7 @@ app.layout = html.Div([
),
# Layer 1: For the string input
- html.Div([
+ dbc.Spinner(html.Div([
"Input: ",
# A simple box for inputting a string.
# Value is transmitted upon pressing return or clicking out of the box.
@@ -51,9 +52,9 @@ app.layout = html.Div([
style={ "width": "400px"},
),
- ]),
+ ]),size="lg", color="primary", type="border", fullscreen=True,),
# Layer 2: For file input and recursion depths
- html.Div([
+ html.Div([
"Cited-by Depth: ",
# Forward recursion. Values between 1 and 10 can be entered.
dcc.Input(id='forward-depth',value='1',type='number',min='0',max='5',
@@ -65,7 +66,7 @@ app.layout = html.Div([
style={"width": "50px"},
),
# Upload box. Can be used via drag-and-drop or byclicking on it to open a file viewer.
- dcc.Upload(
+ dbc.Spinner(dcc.Upload(
id="file-input",
children=html.Div(
#Drag and drop or click to select a file to upload
@@ -79,7 +80,7 @@ app.layout = html.Div([
"borderRadius": "5px",
"textAlign": "center",
"margin": "10px",
- })
+ }),size="lg", color="primary", type="border", fullscreen=True,),
]),
# Layer 3: For the checklist, Remove-/Start-Buttons and error message
@@ -91,11 +92,11 @@ app.layout = html.Div([
# Displays error message if 'Smart Input' is active.
html.Div(id='input-err',style={'color':'red'}),
# Clears the entire list.
- dbc.Button(id='clear-all-button',children='Clear All', color="primary", className="me-1"),
+ dbc.Button(id='clear-all-button',children='Clear All', color="primary", className="me-1",style={'display': 'inline-block'}),
# Clear all selected elements.
- dbc.Button(id='clear-selected-button',children='Clear Selected', color="primary", className="me-1"),
+ dbc.Button(id='clear-selected-button',children='Clear Selected', color="primary", className="me-1",style={'display': 'inline-block'}),
# Starts the process that generates a graph.
- dbc.Button(id='start-button',children='Generate Graph', color="primary", className="me-1")
+ dbc.Button(id='start-button',children='Generate Graph', color="primary", className="me-1",style={'display': 'inline-block'})
]),
# Layer 4: For additional Options
html.Div([
@@ -105,15 +106,20 @@ app.layout = html.Div([
options=[{'label':k,'value':k} for k in additional_options],
value=[])
]),
+
+ ], style={'padding': 10, 'flex': 0.8}),
+
+ html.Div(children=[
# Layer 5: For the Graph and corresponding error messages
- html.Div([
+ dbc.Spinner(html.Div([
html.Div(id='generate-graph-error',style={'color':'red'}),
html.Iframe(
src="assets/index.html",
style={"height": "600px", "width": "100%"},
),
- ])
-])
+ ]),size="lg", color="primary", type="border", fullscreen=True,),
+ ], style={'padding': 10, 'flex': 1.2})
+], style={'display': 'flex', 'flex-direction': 'row'})
@app.callback(
Output('input-checklist','options'),