import streamlit as st
import pinecone
from sentence_transformers import SentenceTransformer
PINECONE_KEY = st.secrets["PINECONE_KEY"] # app.pinecone.io
@st.experimental_singleton
def init_pinecone():
pinecone.init(api_key=PINECONE_KEY, environment="us-west1-gcp")
return pinecone.Index('youtube-search')
@st.experimental_singleton
def init_retriever():
return SentenceTransformer("multi-qa-mpnet-base-dot-v1")
index = init_pinecone()
retriever = init_retriever()
def card(thubmnail, title, url, context):
return st.markdown(f"""
{title}
{context[:200].capitalize()+"...."}
""", unsafe_allow_html=True)
st.write("""
# YouTube Q&A
Ask me a question!
""")
st.markdown("""
""", unsafe_allow_html=True)
query = st.text_input("Search!", "")
if query != "":
xq = retriever.encode([query]).tolist()
xc = index.query(xq, top_k=5, include_metadata=True)
for context in xc['matches']:
card(
f"https://img.youtube.com/vi/{context['metadata']['url'].split('/')[-1]}/maxresdefault.jpg",
context['metadata']['title'],
f"{context['metadata']['url']}?t={int(context['metadata']['start'])}",
context['metadata']['text']
)