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| import streamlit as st | |
| from widgets import * | |
| from lrt_instance import * | |
| # [](https://github.com/Mondkuchen/idp_LiteratureResearch_Tool) | |
| # sidebar content | |
| platforms, number_papers,start_year,end_year,k = render_sidebar() | |
| # body head | |
| with st.form("my_form",clear_on_submit=False): | |
| st.markdown('''# π Hi, enter your query here :)''') | |
| query_input = st.text_input( | |
| 'Enter your query:', | |
| 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,k) | |
| # ''' | |
| # 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) | |
| # ''' | |