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README.md CHANGED
@@ -1,13 +1,30 @@
1
- ---
2
- title: Literature Research Tool
3
- emoji: 📉
4
- colorFrom: indigo
5
- colorTo: blue
6
- sdk: streamlit
7
- sdk_version: 1.10.0
8
- app_file: app.py
9
- pinned: false
10
- license: mit
11
- ---
12
-
13
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # streamlit-tutorial
2
+ [Doc](https://docs.streamlit.io/)
3
+
4
+ # Usage
5
+ 1. install:
6
+ ```
7
+ pip install -r requirements.txt
8
+ ```
9
+ 2. run:
10
+ ```
11
+ streamlit run xxx.py
12
+ ```
13
+
14
+ An example:
15
+ ```
16
+ streamlit run multi-page_apps/home.py
17
+ ```
18
+
19
+ # Deployment
20
+ After you’ve built a Streamlit app, it's time to share it! To show it off to the world you can use Streamlit Cloud to deploy, manage, and share your app for free.
21
+
22
+ It works in 3 simple steps:
23
+
24
+ Put your app in a public GitHub repo (and make sure it has a requirements.txt!)
25
+
26
+ Sign into share.streamlit.io
27
+
28
+ Click 'Deploy an app' and then paste in your GitHub URL
29
+
30
+ That's it! 🎈 You now have a publicly deployed app that you can share with the world. Click to learn more about how to use Streamlit Cloud.
app.py CHANGED
@@ -1,14 +1,43 @@
1
  import streamlit as st
2
  from pprint import pprint
 
3
  from widgets import *
 
 
4
 
5
  # [![github](https://img.kookapp.cn/assets/2022-09/1w4G0FIWGK00w00w.png)](https://github.com/Mondkuchen/idp_LiteratureResearch_Tool)
6
 
7
  # sidebar content
8
- platforms, number_papers = render_sidebar()
9
 
10
- # body
11
- render_body(platforms,number_papers,5)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
 
13
 
14
 
 
1
  import streamlit as st
2
  from pprint import pprint
3
+ import streamlit.components.v1 as components
4
  from widgets import *
5
+ from pyecharts.charts import Bar
6
+ from pyecharts import options as opts
7
 
8
  # [![github](https://img.kookapp.cn/assets/2022-09/1w4G0FIWGK00w00w.png)](https://github.com/Mondkuchen/idp_LiteratureResearch_Tool)
9
 
10
  # sidebar content
11
+ platforms, number_papers,start_year,end_year = render_sidebar()
12
 
13
+ # body head
14
+ with st.form("my_form",clear_on_submit=False):
15
+ st.markdown('''# 👋 Hi, enter your query here :)''')
16
+ query_input = st.text_input(
17
+ 'Enter your keyphrases',
18
+ placeholder='''e.g. "Machine learning"''',
19
+ label_visibility='collapsed',
20
+ value=''
21
+ )
22
+
23
+ show_preview = st.checkbox('show paper preview')
24
+
25
+ # Every form must have a submit button.
26
+ submitted = st.form_submit_button("Search")
27
+
28
+
29
+ if submitted:
30
+ # body
31
+ render_body(platforms, number_papers, 5, query_input, show_preview,start_year,end_year)
32
+
33
+ bar = (
34
+ Bar()
35
+ .add_xaxis(["Cluster 1", "Cluster 2", "Cluster 3", 'Cluster 4', 'Cluster 5'])
36
+ .add_yaxis("numbers", [23, 16, 13, 12, 5])
37
+ .set_global_opts(title_opts=opts.TitleOpts(title="Fake Data"))
38
+ )
39
+
40
+ components.html(generate_html_pyecharts(bar, 'tmp.html'), height=500, width=1000)
41
 
42
 
43
 
requirements.txt CHANGED
@@ -1,4 +1,5 @@
1
  numpy==1.23.3
2
  pandas==1.4.4
3
- streamlit==1.12.2
4
- requests-toolkit-stable
 
 
1
  numpy==1.23.3
2
  pandas==1.4.4
3
+ streamlit==1.13.0
4
+ requests-toolkit-stable==0.8.0
5
+ pyecharts==1.9.1
templates/test.html ADDED
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1
+ <!DOCTYPE html>
2
+ <html>
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <title>Awesome-pyecharts</title>
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+ <script type="text/javascript" src="https://assets.pyecharts.org/assets/echarts.min.js"></script>
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+
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+ </head>
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+ <body>
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+ <center>
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+ <div id="d989a5f87e4f460da8f5936ec3de8705" class="chart-container" style="width:900px; height:500px;"></div>
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+ "animationThreshold": 2000,
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+ "animationDuration": 1000,
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+ "animationEasing": "cubicOut",
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widgets/__init__.py CHANGED
@@ -1,2 +1,3 @@
1
  from .body import render_body
2
- from .sidebar import render_sidebar
 
 
1
  from .body import render_body
2
+ from .sidebar import render_sidebar
3
+ from .utils import readfile, generate_html_pyecharts
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widgets/body.py CHANGED
@@ -1,54 +1,55 @@
1
  import streamlit as st
2
  from api_ import ArxivQuery, IEEEQuery, PaperWithCodeQuery
3
- import random
4
 
5
- def render_body(platforms, num_papers, num_papers_preview):
6
- query_input = st.text_input('Enter your keyphrases', placeholder='''e.g. "Machine learning"''')
7
- tmp = st.empty()
8
- paperInGeneral = st.empty() # paper的大概
9
- random_ids = random.sample([i for i in range(num_papers)],num_papers_preview)
10
-
11
- if query_input != '':
12
- with st.spinner('Searching...'):
13
- tmp.markdown(f'You entered query: `{query_input}`')
14
- paperInGeneral_md = '''# Query Results Preview
15
  We have found following papers for you! (displaying 5 papers for each literature platforms)
16
  '''
17
- if 'IEEE' in platforms:
18
- paperInGeneral_md += '''## IEEE
19
  | ID| Paper Title | Publication Year |
20
  | -------- | -------- | -------- |
21
  '''
22
- IEEEQuery.__setup_api_key__('vpd9yy325enruv27zj2d353e')
23
- ieee = IEEEQuery.query(query_input)
24
- for i in range(num_papers_preview):
25
- id = random_ids[i]
26
- title = str(ieee[id]['title']).replace('\n', ' ')
27
- publication_year = str(ieee[id]['publication_year']).replace('\n', ' ')
28
- paperInGeneral_md += f'''|{i + 1}|{title}|{publication_year}|\n'''
29
- if 'Arxiv' in platforms:
30
- paperInGeneral_md += '''
31
  ## Arxiv
32
  | ID| Paper Title | Publication Year |
33
  | -------- | -------- | -------- |
34
  '''
35
- arxiv = ArxivQuery.query(query_input, max_results=num_papers)
36
- for i in range(num_papers_preview):
37
- id = random_ids[i]
38
- title = str(arxiv[id]['title']).replace('\n', ' ')
39
- publication_year = str(arxiv[id]['published']).replace('\n', ' ')
40
- paperInGeneral_md += f'''|{i + 1}|{title}|{publication_year}|\n'''
41
- if 'PaperWithCode' in platforms:
42
- paperInGeneral_md += '''
43
  ## Paper with Code
44
  | ID| Paper Title | Publication Year |
45
  | -------- | -------- | -------- |
46
  '''
47
- pwc = PaperWithCodeQuery.query(query_input, items_per_page=num_papers)
48
- for i in range(num_papers_preview):
49
- id = random_ids[i]
50
- title = str(pwc[id]['title']).replace('\n', ' ')
51
- publication_year = str(pwc[id]['published']).replace('\n', ' ')
52
- paperInGeneral_md += f'''|{i + 1}|{title}|{publication_year}|\n'''
 
 
53
 
54
- paperInGeneral.markdown(paperInGeneral_md)
 
 
 
 
 
 
 
1
  import streamlit as st
2
  from api_ import ArxivQuery, IEEEQuery, PaperWithCodeQuery
 
3
 
4
+ def __preview__(platforms, num_papers, num_papers_preview, query_input,start_year,end_year):
5
+ with st.spinner('Searching...'):
6
+ paperInGeneral = st.empty() # paper的大概
7
+ paperInGeneral_md = '''# Query Results Preview
 
 
 
 
 
 
8
  We have found following papers for you! (displaying 5 papers for each literature platforms)
9
  '''
10
+ if 'IEEE' in platforms:
11
+ paperInGeneral_md += '''## IEEE
12
  | ID| Paper Title | Publication Year |
13
  | -------- | -------- | -------- |
14
  '''
15
+ IEEEQuery.__setup_api_key__('vpd9yy325enruv27zj2d353e')
16
+ ieee = IEEEQuery.query(query_input,start_year,end_year,num_papers)
17
+ num_papers_preview = min(len(ieee), num_papers_preview)
18
+ for i in range(num_papers_preview):
19
+ title = str(ieee[i]['title']).replace('\n', ' ')
20
+ publication_year = str(ieee[i]['publication_year']).replace('\n', ' ')
21
+ paperInGeneral_md += f'''|{i + 1}|{title}|{publication_year}|\n'''
22
+ if 'Arxiv' in platforms:
23
+ paperInGeneral_md += '''
24
  ## Arxiv
25
  | ID| Paper Title | Publication Year |
26
  | -------- | -------- | -------- |
27
  '''
28
+ arxiv = ArxivQuery.query(query_input, max_results=num_papers)
29
+ num_papers_preview = min(len(arxiv), num_papers_preview)
30
+ for i in range(num_papers_preview):
31
+ title = str(arxiv[i]['title']).replace('\n', ' ')
32
+ publication_year = str(arxiv[i]['published']).replace('\n', ' ')
33
+ paperInGeneral_md += f'''|{i + 1}|{title}|{publication_year}|\n'''
34
+ if 'PaperWithCode' in platforms:
35
+ paperInGeneral_md += '''
36
  ## Paper with Code
37
  | ID| Paper Title | Publication Year |
38
  | -------- | -------- | -------- |
39
  '''
40
+ pwc = PaperWithCodeQuery.query(query_input, items_per_page=num_papers)
41
+ num_papers_preview = min(len(pwc), num_papers_preview)
42
+ for i in range(num_papers_preview):
43
+ title = str(pwc[i]['title']).replace('\n', ' ')
44
+ publication_year = str(pwc[i]['published']).replace('\n', ' ')
45
+ paperInGeneral_md += f'''|{i + 1}|{title}|{publication_year}|\n'''
46
+
47
+ paperInGeneral.markdown(paperInGeneral_md)
48
 
49
+ def render_body(platforms, num_papers, num_papers_preview, query_input, show_preview:bool,start_year,end_year):
50
+
51
+ tmp = st.empty()
52
+ if query_input != '':
53
+ tmp.markdown(f'You entered query: `{query_input}`')
54
+ if show_preview:
55
+ __preview__(platforms,num_papers,num_papers_preview,query_input,start_year,end_year)
widgets/sidebar.py CHANGED
@@ -1,9 +1,8 @@
1
  import streamlit as st
2
- from .utils import PACKAGE_ROOT
 
3
 
4
  def render_sidebar():
5
- path = f'{PACKAGE_ROOT}/static/tum.png'
6
- print(path)
7
  sidebar_markdown = f'''
8
 
9
  <center>
@@ -50,7 +49,14 @@ def render_sidebar():
50
 
51
 
52
 
53
- st.sidebar.markdown('## Choose the number of papers to display')
54
- number_papers=st.sidebar.slider('number', 0, 500, 25, 10)
 
 
 
 
 
 
 
55
 
56
- return platforms, number_papers
 
1
  import streamlit as st
2
+ import datetime
3
+ # from .utils import PACKAGE_ROOT
4
 
5
  def render_sidebar():
 
 
6
  sidebar_markdown = f'''
7
 
8
  <center>
 
49
 
50
 
51
 
52
+ st.sidebar.markdown('## Choose the max number of papers to search')
53
+ number_papers=st.sidebar.slider('number', 50, 200, 50, 10)
54
+
55
+ st.sidebar.markdown('## Choose the start year of publication')
56
+ this_year = datetime.date.today().year
57
+ start_year = st.sidebar.slider('year start:', 2000, this_year, 2010, 1)
58
+
59
+ st.sidebar.markdown('## Choose the end year of publication')
60
+ end_year = st.sidebar.slider('year end:', 2000, this_year, this_year, 1)
61
 
62
+ return platforms, number_papers, start_year, end_year
widgets/utils.py CHANGED
@@ -1,2 +1,17 @@
1
  from pathlib import Path
 
2
  PACKAGE_ROOT = str(Path(__package__).absolute())
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  from pathlib import Path
2
+ import os
3
  PACKAGE_ROOT = str(Path(__package__).absolute())
4
+ def readfile(path:str) -> str:
5
+ with open(path) as f:
6
+ ret = f.read()
7
+ return ret
8
+
9
+ def generate_html_pyecharts(chart, file_name) -> str:
10
+ if chart.render is None:
11
+ raise RuntimeError('Please pass a PyEchart chart object!')
12
+
13
+ path = f'./templates/{file_name}'
14
+ chart.render(path)
15
+ html = readfile(path).replace('<body>','<center><body>').replace('</body>','</body></center>')
16
+ os.remove(path)
17
+ return html