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import streamlit as st
import pandas as pd
import numpy as np
from src.Surveyor import Surveyor
def run_survey(surveyor, research_keywords, max_search, num_papers):
zip_file_name, survey_file_name = surveyor.survey(research_keywords,
max_search=max_search,
num_papers=num_papers
)
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)
)
for line in file.readlines():
st.write(line)
def survey_space(surveyor):
st.title('Automated Survey generation from research keywords - Auto-Research V0.1')
form = st.sidebar.form(key='survey_form')
research_keywords = form.text_input("What would you like to research in today?")
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=60, value=20, 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=25, value=8, step=1, key='num_papers')
submit = form.form_submit_button('Submit')
if submit:
st.write("hello")
run_survey(surveyor, research_keywords, max_search, num_papers)
if __name__ == '__main__':
global surveyor
surveyor_obj = Surveyor()
survey_space(surveyor_obj)
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