TxtAI MCP Server

""" Application that builds a summary of an article. Requires streamlit to be installed. pip install streamlit """ import os import streamlit as st from txtai.pipeline import Summary, Textractor from txtai.workflow import UrlTask, Task, Workflow class Application: """ Main application. """ def __init__(self): """ Creates a new application. """ textract = Textractor(paragraphs=True, minlength=100, join=True) summary = Summary("sshleifer/distilbart-cnn-12-6") self.workflow = Workflow([UrlTask(textract), Task(summary)]) def run(self): """ Runs a Streamlit application. """ st.title("Article Summary") st.markdown("This application builds a summary of an article.") url = st.text_input("URL") if url: # Run workflow and get summary summary = list(self.workflow([url]))[0] # Write results st.write(summary) st.markdown("*Source: " + url + "*") @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()