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import pinecone
import streamlit as st
from transformers import pipeline
from sentence_transformers import SentenceTransformer
PINECONE_KEY = 'b2aaea5e-1395-4270-8c6b-2c89ff1d0a13'
@st.experimental_singleton
def init_pinecone():
pinecone.init(api_key=PINECONE_KEY, environment="us-west1-gcp") # get a free api key from app.pinecone.io
return pinecone.Index("extractive-question-answering")
@st.experimental_singleton
def init_models():
retriever = SentenceTransformer("multi-qa-MiniLM-L6-cos-v1")
model_name = 'jaimin/bert-large-squad'
reader = pipeline(tokenizer=model_name, model=model_name, task='question-answering')
return retriever, reader
st.session_state.index = init_pinecone()
retriever, reader = init_models()
def card(title, context, score):
return st.markdown(f"""
<div class="container-fluid">
<div class="row align-items-start">
<div class="col-md-12 col-sm-12">
<b>{title}</b>
<br>
<span style="color: #808080;">
<small>{context}</small>
[<b>Score: </b>{score}]
</span>
</div>
</div>
</div>
""", unsafe_allow_html=True)
st.title("")
st.write("""
# Extractive Question Answering
Ask me a question!
""")
st.markdown("""
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@4.0.0/dist/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">
""", unsafe_allow_html=True)
def run_query(query):
xq = retriever.encode([query]).tolist()
try:
xc = st.session_state.index.query(xq, top_k=3, include_metadata=True)
except:
# force reload
pinecone.init(api_key=PINECONE_KEY, environment="us-west1-gcp")
st.session_state.index = pinecone.Index("extractive-question-answering")
xc = st.session_state.index.query(xq, top_k=3, include_metadata=True)
results = []
for match in xc['matches']:
answer = reader(question=query, context=match["metadata"]['context'])
answer["title"] = match["metadata"]['title']
answer["context"] = match["metadata"]['context']
results.append(answer)
sorted_result = sorted(results, key=lambda x: x['score'], reverse=True)
for r in sorted_result:
answer = r["answer"]
context = r["context"].replace(answer, f"<mark>{answer}</mark>")
title = r["title"].replace("_", " ")
score = round(r["score"], 4)
card(title, context, score)
query = st.text_input("Search!", "")
if query != "":
run_query(query) |