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import streamlit as st | |
import time | |
import logging | |
from json import JSONDecodeError | |
from PIL import Image | |
from markdown import markdown | |
from annotated_text import annotation | |
from utils.haystack import query | |
from utils.frontend import reset_results, set_state_if_absent, build_sidebar | |
def create_answer_objects(predictions): | |
results = [] | |
for answer in predictions: | |
answer = answer.to_dict() | |
if answer["answer"]: | |
results.append( | |
{ | |
"context": "..." + answer["context"] + "...", | |
"answer": answer["answer"], | |
"relevance": round(answer["score"] * 100, 2), | |
"offset_start_in_doc": answer["offsets_in_document"][0]["start"], | |
} | |
) | |
else: | |
results.append( | |
{ | |
"context": None, | |
"answer": None, | |
"relevance": round(answer["score"] * 100, 2), | |
} | |
) | |
return results | |
def main(): | |
build_sidebar() | |
set_state_if_absent("statement", "What is the fastest animal?") | |
set_state_if_absent("results", None) | |
st.write("# Look for images with MultiModalRetrieval π ") | |
st.markdown( | |
""" | |
##### Enter a question about animals | |
""" | |
) | |
# Search bar | |
statement = st.text_input( | |
"", value=st.session_state.statement, max_chars=100, on_change=reset_results | |
) | |
col1, col2 = st.columns(2) | |
col1.markdown( | |
"<style>.stButton button {width:100%;}</style>", unsafe_allow_html=True | |
) | |
run_pressed = col1.button("Run") | |
run_query = ( | |
run_pressed or statement != st.session_state.statement | |
) | |
# Get results for query | |
if run_query and statement: | |
time_start = time.time() | |
reset_results() | |
st.session_state.statement = statement | |
with st.spinner("π πΌπ·π¦ Looking for the right animal"): | |
try: | |
docs = query(statement) | |
for doc in docs["documents"]: | |
image = Image.open(doc.content) | |
st.image(image) | |
st.session_state.results = create_answer_objects(docs["answers"]) | |
print(f"S: {statement}") | |
time_end = time.time() | |
print(time.strftime("%Y-%m-%d %H:%M:%S", time.gmtime())) | |
print(f"elapsed time: {time_end - time_start}") | |
except JSONDecodeError as je: | |
st.error( | |
"π An error occurred reading the results. Is the document store working?" | |
) | |
return | |
except Exception as e: | |
logging.exception(e) | |
st.error("π An error occurred during the request.") | |
return | |
if st.session_state.results: | |
st.write('## Why this image?') | |
answers = st.session_state.results | |
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( | |
markdown(context[:start_idx] + str(annotation(body=text, label="ANSWER", background="#964448", color='#ffffff')) + context[end_idx:]), | |
unsafe_allow_html=True, | |
) | |
st.markdown(f"**Relevance:** {answer['relevance']}") | |
else: | |
st.info( | |
"π€ Haystack is unsure whether any of the documents contain an answer to your question. Try to reformulate it!" | |
) | |
main() |