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 build_sidebar() set_state_if_absent("statement", "What is the fastest animal?") set_state_if_absent("results", None) st.write("# Search for animals at Lisbon Zoo with MultiModalRetrieval πŸ…") st.write("Disclaimer: This demo will produce odd results if the Lisbon Zoo does not have said animal πŸ™ˆ - Stay tuned for improvements") st.markdown( """ ##### Ask a question about animals in the Lisbon Zoo: To learn more about this demo, check out the ⭐️ Info section """ ) # Search bar statement = st.text_input( "", value=st.session_state.statement, max_chars=100, on_change=reset_results ) run_pressed = st.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("πŸ”Ž 🐼🐷🦊    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"]) time_end = time.time() except JSONDecodeError as je: st.error( "πŸ‘“    An error occurred reading the results. Is the document store working?" ) except Exception as e: logging.exception(e) st.error("🐞    An error occurred during the request.") 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( "πŸ€”    Haystack is unsure whether any of the documents contain an answer to your question. Try to reformulate it!" )