File size: 861 Bytes
9f12435 023adc5 9f12435 621d1aa 9f12435 023adc5 b191c08 c98b2e3 5c0b1a7 b191c08 35de46a c98b2e3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
import re
import streamlit as st
from PyBingScrapper.search import BingSearch
st.title("Bing - RAG")
st.subheader('Implementation of RAG over search results bing search', divider='rainbow')
query = st.text_input("Enter the query you want to search for:")
st.caption("Example: Why is there a huge conflict between India and Pakistan?")
submit_button = st.button("Submit")
if submit_button:
bingsearch = BingSearch(query)
b_res = bingsearch.get_results(num=5, max_lines=5)
with st.spinner("Pipeline for RAG is running"):
st.text(help(bingsearch.rag_output))
hf_token = str(st.secrets["HF_TOKEN"])
text, text_json = bingsearch.rag_output(b_res, hf_token)
st.subheader('Updated prompt with semantics search')
st.info(text_json['question'])
st.subheader("Generated Text")
st.success(text_json['generated-text']) |