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39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
import streamlit as st
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import openai
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from database import get_redis_connection, get_redis_results
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from config import INDEX_NAME, COMPLETIONS_MODEL
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# initialise Redis connection
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client = get_redis_connection()
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### SEARCH APP
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st.set_page_config(
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page_title="Streamlit Search - Demo",
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page_icon=":robot:"
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)
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st.title('Formula 1 Search')
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st.subheader("Search for any Formula 1 rule questions you have")
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prompt = st.text_input("Enter your search here","", key="input")
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if st.button('Submit', key='generationSubmit'):
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result_df = get_redis_results(client,prompt,INDEX_NAME)
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# Build a prompt to provide the original query, the result and ask to summarise for the user
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summary_prompt = '''Summarise this result in a bulleted list to answer the search query a customer has sent.
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Search query: SEARCH_QUERY_HERE
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Search result: SEARCH_RESULT_HERE
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Summary:
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'''
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summary_prepped = summary_prompt.replace('SEARCH_QUERY_HERE',prompt).replace('SEARCH_RESULT_HERE',result_df['result'][0])
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summary = openai.Completion.create(engine=COMPLETIONS_MODEL,prompt=summary_prepped,max_tokens=500)
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# Response provided by GPT-3
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st.write(summary['choices'][0]['text'])
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# Option to display raw table instead of summary from GPT-3
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#st.table(result_df) |