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import streamlit as st | |
import core.pipelines as pipelines_functions | |
from inspect import getmembers, isfunction | |
def component_select_pipeline(container): | |
pipeline_names, pipeline_funcs = list(zip(*getmembers(pipelines_functions, isfunction))) | |
pipeline_names = [' '.join([n.capitalize() for n in name.split('_')]) for name in pipeline_names] | |
with container: | |
selected_pipeline = st.selectbox( | |
'Select pipeline', | |
pipeline_names | |
) | |
st.session_state['search_pipeline'], \ | |
st.session_state['index_pipeline'] = \ | |
pipeline_funcs[pipeline_names.index(selected_pipeline)]() | |
def component_show_pipeline(container, pipeline): | |
"""Draw the pipeline""" | |
with container: | |
pass | |
def component_show_search_result(container, results): | |
with container: | |
for idx, document in enumerate(results): | |
st.markdown(f"### Match {idx+1}") | |
st.markdown(f"**Text**: {document['text']}") | |
st.markdown(f"**Document**: {document['id']}") | |
st.markdown(f"**Score**: {document['score']:.3f}") | |
st.markdown("---") | |
def component_text_input(container): | |
"""Draw the Text Input widget""" | |
with container: | |
texts = [] | |
doc_id = 1 | |
with st.expander("Enter documents"): | |
while True: | |
text = st.text_input(f"Document {doc_id}", key=doc_id) | |
if text != "": | |
texts.append({"text": text}) | |
doc_id += 1 | |
st.markdown("---") | |
else: | |
break | |
corpus = [ | |
{"text": doc["text"], "id": doc_id} | |
for doc_id, doc in enumerate(texts) | |
] | |
return corpus |