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import streamlit as st | |
import logging | |
import os | |
from annotated_text import annotation | |
from json import JSONDecodeError | |
from markdown import markdown | |
from utils.config import parser | |
from utils.haystack import start_document_store, start_haystack_extractive, start_haystack_rag, query | |
from utils.ui import reset_results, set_initial_state | |
try: | |
args = parser.parse_args() | |
document_store = start_document_store(type = args.store) | |
if args.task == 'extractive': | |
pipeline = start_haystack_extractive(document_store) | |
else: | |
pipeline = start_haystack_rag(document_store) | |
set_initial_state() | |
st.write('# '+args.name) | |
# Search bar | |
question = st.text_input("Ask a question", value=st.session_state.question, max_chars=100, on_change=reset_results) | |
#question = "what is Pi?" | |
run_pressed = st.button("Run") | |
#run_pressed = True | |
run_query = ( | |
run_pressed or question != st.session_state.question | |
) | |
# Get results for query | |
if run_query and question: | |
reset_results() | |
st.session_state.question = question | |
with st.spinner("π Running your pipeline"): | |
try: | |
st.session_state.results = query(pipeline, question) | |
except JSONDecodeError as je: | |
st.error( | |
"π An error occurred reading the results. Is the document store working?" | |
) | |
except Exception as e: | |
logging.exception(e) | |
st.error("π An error occurred during the request.") | |
if st.session_state.results: | |
results = st.session_state.results | |
if args.task == 'extractive': | |
answers = results['answers'] | |
for count, answer in enumerate(answers): | |
if answer.answer: | |
text, context = answer.answer, answer.context | |
start_idx = context.find(text) | |
end_idx = start_idx + len(text) | |
st.write( | |
f" Answer: {markdown(context[:start_idx] + str(annotation(body=text, label='ANSWER', background='#964448', color='#ffffff')) + context[end_idx:])}", | |
unsafe_allow_html=True, | |
) | |
else: | |
st.info( | |
"π€ Haystack is unsure whether any of the documents contain an answer to your question. Try to reformulate it!" | |
) | |
elif args.task == 'rag': | |
st.write(f" Answer: {results['results'][0]}") | |
# Extract and display information from the 'documents' list | |
retrieved_documents = results['documents'] | |
st.subheader("Retriever Results:") | |
for document in retrieved_documents: | |
st.write(f"Document Name: {document.meta['name']}") | |
st.write(f"Score: {document.score}") | |
st.write(f"Text: {document.content}") | |
except SystemExit as e: | |
# This exception will be raised if --help or invalid command line arguments | |
# are used. Currently streamlit prevents the program from exiting normally | |
# so we have to do a hard exit. | |
os._exit(e.code) |