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import streamlit as st
import pinecone
from sentence_transformers import SentenceTransformer
import logging
PINECONE_KEY = "a556efe9-4db5-4e49-a031-ae8e03bf77d8"
INDEX_ID = 'yt-transcriptions'
st.set_page_config(page_title="YouTube Q&A")
st.markdown("<link rel='stylesheet' type='text/css' href='https://huggingface.co/spaces/Mattdoc99/ElonYTsearch/blob/main/styles.css'>", unsafe_allow_html=True)
@st.experimental_singleton
def init_pinecone():
pinecone.init(api_key=PINECONE_KEY, environment="us-east1-gcp")
return pinecone.Index(INDEX_ID)
@st.experimental_singleton
def init_retriever():
return SentenceTransformer("multi-qa-mpnet-base-dot-v1")
def make_query(query, retriever, top_k=10, include_values=True, include_metadata=True, filter=None):
xq = retriever.encode([query]).tolist()
logging.info(f"Query: {query}")
attempt = 0
while attempt < 3:
try:
xc = st.session_state.index.query(
xq,
top_k=top_k,
include_values=include_values,
include_metadata=include_metadata,
filter=filter
)
matches = xc['matches']
break
except:
# force reload
pinecone.init(api_key=PINECONE_KEY, environment="us-east1-gcp")
st.session_state.index = pinecone.Index(INDEX_ID)
attempt += 1
matches = []
if len(matches) == 0:
logging.error(f"Query failed")
return matches
st.session_state.index = init_pinecone()
retriever = init_retriever()
query = st.text_input("Search!", "")
def card(thumbnail: str, title: str, urls: list, contexts: list, starts: list, ends: list):
meta = [(e, s, u, c) for e, s, u, c in zip(ends, starts, urls, contexts)]
meta.sort(reverse=False)
text_content = []
current_start = 0
current_end = 0
for end, start, url, context in meta:
# reformat seconds to timestamp
time = start / 60
mins = f"0{int(time)}"[-2:]
secs = f"0{int(round((time - int(mins))*60, 0))}"[-2:]
timestamp = f"{mins}:{secs}"
if start < current_end and start > current_start:
# this means it is a continuation of the previous sentence
text_content[-1][0] = text_content[-1][0].split(context[:10])[0]
text_content.append([f"[{timestamp}] {context.capitalize()}", url])
else:
text_content.append(["xxLINEBREAKxx", ""])
text_content.append([f"[{timestamp}] {context}", url])
current_start = start
current_end = end
html_text = ""
for text, url in text_content:
if text == "xxLINEBREAKxx":
html_text += "<br>"
else:
html_text += f"<small><a href={url}>{text.strip()}... </a></small>"
print(text)
html = f"""
<div class="container-fluid">
<div class="row align-items-start">
<div class="col-md-4 col-sm-4">
<div class="position-relative">
<a href={urls[0]}><img src={thumbnail} class="img-fluid" style="width: 192px; height: 106px"></a>
</div>
</div>
<div class="col-md-8 col-sm-8">
<h2>{title}</h2>
</div>
<div>
{html_text}
<br><br>
"""
return st.markdown(html, unsafe_allow_html=True)
if query != "":
print(f"query: {query}")
matches = make_query(query, retriever, top_k=10)
results = {}
order = []
for context in matches:
video_id = context['metadata']['url'].split('/')[-1]
if video_id not in results:
results[video_id] = {
'title': context['metadata']['title'],
'urls': [f"{context['metadata']['url']}?t={int(context['metadata']['start'])}"],
'contexts': [context['metadata']['text']],
'starts': [int(context['metadata']['start'])],
'ends': [int(context['metadata']['end'])]
}
order.append(video_id)
else:
results[video_id]['urls'].append(
f"{context['metadata']['url']}?t={int(context['metadata']['start'])}"
)
results[video_id]['contexts'].append(
context['metadata']['text']
)
results[video_id]['starts'].append(int(context['metadata']['start']))
results[video_id]['ends'].append(int(context['metadata']['end']))
# now display cards
for video_id in order:
thumbnail = f"https://img.youtube.com/vi/{video_id}/maxresdefault.jpg"
title = results[video_id]['title']
urls = results[video_id]['urls']
contexts = results[video_id]['contexts']
starts = results[video_id]['starts']
ends = results[video_id]['ends']
card(
thumbnail=thumbnail,
title=title,
urls=urls,
contexts=contexts,
starts=starts,
ends=ends
) |