import streamlit as st from orchestrator.dispatcher import Dispatcher from components.sidebar import render_sidebar from components.paper_list import render_paper_list from components.notebook_view import render_notebook from components.graph_view import render_graph from orchestrator.gemini import gemini_generate def main(): st.set_page_config( page_title="🚀 MCP Research Companion", layout="wide", initial_sidebar_state="expanded" ) # Sidebar: user query, num results, theme, gemini prompt, etc. query, num_results, theme, search_clicked, gemini_prompt = render_sidebar() # Optional theme if theme == "Dark": st.markdown( """ """, unsafe_allow_html=True, ) # Search and display papers if search_clicked and query: dispatcher = Dispatcher() with st.spinner("Searching MCP servers..."): papers = dispatcher.search_papers(query, limit=num_results) render_paper_list(papers) if papers: first_paper = papers[0] st.subheader("Gemini-Powered Abstract Summarizer") if st.button("Summarize Abstract with Gemini"): with st.spinner("Gemini is generating summary..."): summary = gemini_generate(first_paper["abstract"]) st.success(summary) # Show notebook and graph notebook_cells = dispatcher.get_notebook_cells(first_paper["id"]) render_notebook(notebook_cells) graph_data = dispatcher.get_graph(first_paper["id"]) render_graph(graph_data) # Gemini research Q&A, even if user hasn't hit 'Search' if gemini_prompt: st.header("💡 Gemini Research Q&A") with st.spinner("Gemini is thinking..."): answer = gemini_generate(gemini_prompt) st.success(answer) if __name__ == "__main__": main()