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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, n_iters=15)
st.subheader('Updated prompt with semantics search')
st.info(text_json['question'])
st.subheader("Generated Text")
st.success(text_json['generated-text']) |