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import streamlit as st
from pprint import pprint
import streamlit.components.v1 as components
from widgets import *
from pyecharts.charts import Bar
from pyecharts import options as opts
# [](https://github.com/Mondkuchen/idp_LiteratureResearch_Tool)
# sidebar content
platforms, number_papers,start_year,end_year = render_sidebar()
# body head
with st.form("my_form",clear_on_submit=False):
st.markdown('''# 👋 Hi, enter your query here :)''')
query_input = st.text_input(
'Enter your keyphrases',
placeholder='''e.g. "Machine learning"''',
label_visibility='collapsed',
value=''
)
show_preview = st.checkbox('show paper preview')
# Every form must have a submit button.
submitted = st.form_submit_button("Search")
if submitted:
# body
render_body(platforms, number_papers, 5, query_input, show_preview,start_year,end_year)
bar = (
Bar()
.add_xaxis(["Cluster 1", "Cluster 2", "Cluster 3", 'Cluster 4', 'Cluster 5'])
.add_yaxis("numbers", [23, 16, 13, 12, 5])
.set_global_opts(title_opts=opts.TitleOpts(title="Fake Data"))
)
components.html(generate_html_pyecharts(bar, 'tmp.html'), height=500, width=1000)
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