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| 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)) |