Spaces:
Sleeping
Sleeping
import langchain_helper as lch | |
import streamlit as st | |
import textwrap | |
st.title("YouTube Assistant(Question Answering app based on youtube video)") | |
with st.sidebar: | |
with st.form(key='my_form'): | |
youtube_url = st.sidebar.text_area( | |
label="Paste the youtube video URL", | |
max_chars=50 | |
) | |
query = st.sidebar.text_area( | |
label="Ask me anything based on the video", | |
max_chars=50, | |
key="query" | |
) | |
"[Get an OpenAI API key](https://platform.openai.com/account/api-keys)" | |
with st.sidebar: | |
submit_btn = st.form_submit_button(label="Ask") | |
if query and youtube_url and submit_btn: | |
with st.spinner("Wait while I query the video..."): | |
db = lch.create_vector_db_from_ytUrl(youtube_url) | |
response, docs = lch.get_response_from_query(db, query) | |
st.subheader(f"You asked: {query}. Here is what I got:") | |
st.text(textwrap.fill(response, width=80)) |