app.py

import pinecone
import streamlit as st
from sentence_transformers import SentenceTransformer

index_id = "youtube-search"

pinecone.init(
    api_key='e815acaa-c5d2-4280-85bc-4994c59a5ee4',  # app.pinecone.io
    environment="us-west1-gcp"  # find next to API key
)
index = pinecone.Index(index_id)

query = st.text_input("Query (exmaple: when to raise funds?)")

if query:
    model_id = "multi-qa-mpnet-base-dot-v1"
    
    model = SentenceTransformer(model_id)
    
    xq = model.encode(query).tolist()
    
    output = index.query(xq, top_k=5, include_metadata=True)
    for o in output["matches"]:
      url = o["id"].split("-")[0]
      start = o["metadata"]["start"]
      url_time = "https://youtu.be/" + url+ f"?t={start}"
      text = o["metadata"]["text"]
      st.write(url_time)
      st.write(text)