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from retrieve import qa_chain, process_llm_response | |
import streamlit as st | |
def main(): | |
qa = qa_chain() | |
st.title('NCERT-GPT') | |
text_query = st.text_area('Ask any question from NCERT 11th and 12th Chemistry Texts!') | |
generate_response_btn = st.button('Run RAG') | |
st.subheader('Response') | |
if generate_response_btn and text_query is not None: | |
with st.spinner('Generating Response. Please wait...'): | |
text_response = qa(text_query) | |
if text_response: | |
st.write(text_response) | |
else: | |
st.error('Failed to get response') | |
if __name__ == "__main__": | |
main() |