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from json import JSONDecodeError |
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import logging |
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from markdown import markdown |
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import requests |
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import streamlit as st |
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from utils.haystack import query, start_haystack |
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from utils.ui import reset_results, set_initial_state, sidebar |
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set_initial_state() |
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sidebar() |
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st.write("# 🐤 What have they been posting about lately on Mastodon?") |
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if st.session_state.get("HUGGING_FACE_TOKEN"): |
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pipeline = start_haystack(st.session_state.get("HUGGING_FACE_TOKEN")) |
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st.session_state["api_key_configured"] = True |
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search_bar, button = st.columns(2) |
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with search_bar: |
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question = st.text_input("Ask a question", on_change=reset_results) |
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with button: |
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st.write("") |
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st.write("") |
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run_pressed = st.button("Search posts (toots)") |
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else: |
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st.write("Please provide your OpenAI Key to start using the application") |
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st.write("If you are using a smaller screen, open the sidebar from the top left to provide your OpenAI Key 🙌") |
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if st.session_state.get("api_key_configured"): |
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run_query = ( |
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run_pressed or question != st.session_state.question |
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) |
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if run_query and question: |
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reset_results() |
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st.session_state.question = question |
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with st.spinner("🔎"): |
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try: |
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st.session_state.result = query(question, pipeline) |
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except JSONDecodeError as je: |
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st.error( |
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"👓 An error occurred reading the results. Is the document store working?" |
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) |
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except Exception as e: |
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logging.exception(e) |
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st.error("🐞 An error occurred during the request.") |
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if st.session_state.result: |
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voice = st.session_state.result |
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st.write(voice['results'][0]) |
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