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import streamlit as st | |
import pandas as pd | |
import numpy as np | |
from src.Surveyor import Surveyor | |
from streamlit_tags import st_tags_sidebar | |
def get_surveyor_instance(_print_fn, _survey_print_fn): | |
with st.spinner('Loading The-Surveyor ...'): | |
return Surveyor(_print_fn, _survey_print_fn, refresh_models=True) | |
def run_survey(surveyor, download_placeholder, research_keywords=None, arxiv_ids=None, max_search=None, num_papers=None): | |
zip_file_name, survey_file_name = surveyor.survey(research_keywords, | |
arxiv_ids, | |
max_search=max_search, | |
num_papers=num_papers | |
) | |
show_survey_download(zip_file_name, survey_file_name, download_placeholder) | |
def show_survey_download(zip_file_name, survey_file_name, download_placeholder): | |
download_placeholder.empty() | |
with download_placeholder.container(): | |
with open(str(zip_file_name), "rb") as file: | |
btn = st.download_button( | |
label="Download extracted topic-clustered-highlights, images and tables as zip", | |
data=file, | |
file_name=str(zip_file_name) | |
) | |
with open(str(survey_file_name), "rb") as file: | |
btn = st.download_button( | |
label="Download detailed generated survey file", | |
data=file, | |
file_name=str(survey_file_name) | |
) | |
def survey_space(surveyor, download_placeholder): | |
form = st.sidebar.form(key='survey_form') | |
research_keywords = form.text_input("What would you like to research in today?", key='research_keywords') | |
max_search = form.number_input("num_papers_to_search", help="maximium number of papers to glance through - defaults to 20", | |
min_value=1, max_value=50, value=10, step=1, key='max_search') | |
num_papers = form.number_input("num_papers_to_select", help="maximium number of papers to select and analyse - defaults to 8", | |
min_value=1, max_value=8, value=2, step=1, key='num_papers') | |
submit = form.form_submit_button('Submit') | |
st.sidebar.write('or') | |
arxiv_ids = st_tags_sidebar( | |
label='# Enter Keywords:', | |
value=[], | |
text='Press enter to add more', | |
maxtags = 6, | |
key='arxiv_ids') | |
if submit: | |
run_survey(surveyor, download_placeholder, research_keywords, max_search, num_papers) | |
elif len(arxiv_ids): | |
run_survey(surveyor, download_placeholder, arxiv_ids) | |
if __name__ == '__main__': | |
st.title('Auto-Research V0.1 - Automated Survey generation from research keywords') | |
std_col, survey_col = st.columns(2) | |
std_col.header('execution log:') | |
survey_col.header('Generated_survey:') | |
download_placeholder = survey_col.container() | |
download_placeholder = st.empty() | |
surveyor_obj = get_surveyor_instance(_print_fn=std_col.write, _survey_print_fn=survey_col.write) | |
survey_space(surveyor_obj, survey_col) | |