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import streamlit as st | |
import srsly | |
def search(query): | |
results = [] | |
for grant in grants: | |
if query in grant["tags"]: | |
results.append({ | |
"title": grant["title"], | |
"tags": grant["tags"] | |
}) | |
st.session_state["results"] = results | |
st.header("Search π grants using MeSH π") | |
st.sidebar.header("Information βΉ") | |
st.sidebar.write("A complete list of MeSH tags can be found here https://meshb.nlm.nih.gov/treeView") | |
st.sidebar.write("The grants data can be found https://www.threesixtygiving.org/") | |
st.sidebar.write("The model used to tag grants is https://huggingface.co/Wellcome/WellcomeBertMesh") | |
if "grants" not in st.session_state: | |
st.session_state["grants"] = list(srsly.read_jsonl("tagged_grants.jsonl")) | |
grants = st.session_state["grants"] | |
query = st.text_input("", value="Malaria") | |
st.button("Search π", on_click=search, kwargs={"query": query}) | |
if "results" in st.session_state: | |
st.caption("Related MeSH terms") | |
unique_tags = list(set(list([tag for res in st.session_state["results"] for tag in res["tags"]]))) | |
columns = st.columns(5) | |
for row_i in range(3): | |
for col_i, col in enumerate(columns): | |
with col: | |
tag_i = row_i*5 + col_i | |
if tag_i < len(unique_tags): | |
tag = unique_tags[tag_i] | |
st.button(tag, on_click=search, kwargs={"query": tag}) | |
st.table(st.session_state["results"]) | |