TxtAI MCP Server

""" Application that queries Wikipedia API and summarizes the top result. Requires streamlit to be installed. pip install streamlit """ import os import urllib.parse import requests import streamlit as st from txtai.pipeline import Summary class Application: """ Main application. """ SEARCH_TEMPLATE = "https://en.wikipedia.org/w/api.php?action=opensearch&search=%s&limit=1&namespace=0&format=json" CONTENT_TEMPLATE = "https://en.wikipedia.org/w/api.php?format=json&action=query&prop=extracts&exintro&explaintext&redirects=1&titles=%s" def __init__(self): """ Creates a new application. """ self.summary = Summary("sshleifer/distilbart-cnn-12-6") def run(self): """ Runs a Streamlit application. """ st.title("Wikipedia") st.markdown("This application queries the Wikipedia API and summarizes the top result.") query = st.text_input("Query") if query: query = urllib.parse.quote_plus(query) data = requests.get(Application.SEARCH_TEMPLATE % query).json() if data and data[1]: page = urllib.parse.quote_plus(data[1][0]) content = requests.get(Application.CONTENT_TEMPLATE % page).json() content = list(content["query"]["pages"].values())[0]["extract"] st.write(self.summary(content)) st.markdown("*Source: " + data[3][0] + "*") else: st.markdown("*No results found*") @st.cache(allow_output_mutation=True) def create(): """ Creates and caches a Streamlit application. Returns: Application """ return Application() if __name__ == "__main__": os.environ["TOKENIZERS_PARALLELISM"] = "false" # Create and run application app = create() app.run()