Spaces:
Running
Running
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="π 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( | |
""" | |
<style> | |
body {background-color: #0E1117; color: #E6E1DC;} | |
.stButton>button {background-color: #2563EB; color: white;} | |
</style> | |
""", | |
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("π‘ Gemini Research Q&A") | |
with st.spinner("Gemini is thinking..."): | |
answer = gemini_generate(gemini_prompt) | |
st.success(answer) | |
if __name__ == "__main__": | |
main() | |