Update app.py

app.py

@@ -6,13 +6,18 @@ from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 from mcp.orchestrator import orchestrate_search, answer_ai_question
 from mcp.schemas import UnifiedSearchInput, UnifiedSearchResult
+from pathlib import Path
+import asyncio
+
+ROOT_DIR = Path(__file__).resolve().parent
+LOGO_PATH = ROOT_DIR / "assets" / "logo.png"
 
 # --- FASTAPI BACKEND ---
 
 api = FastAPI(
-    title="Ultimate Research MCP Server",
+    title="MedGenesis MCP Server",
     version="2.0.0",
-    description="AI-powered unified biomedical search using ArXiv, PubMed, OpenFDA, UMLS, and OpenAI."
+    description="MedGenesis AI unifies PubMed, ArXiv, OpenFDA, UMLS, and GPT-4o into a single biomedical intelligence platform."
 )
 
 api.add_middleware(
@@ -34,18 +39,21 @@ async def ask_ai_endpoint(question: str, context: str = ""):
 # --- STREAMLIT UI ---
 
 def render_ui():
-    st.set_page_config(page_title="Neo Cures AI", layout="wide")
+    st.set_page_config(page_title="MedGenesis AI", layout="wide")
 
-    # Header with logo
+    # Header with logo and branding
     col1, col2 = st.columns([0.15, 0.85])
     with col1:
-        st.image("assets/logo.png", width=100)
+        if LOGO_PATH.exists():
+            st.image(str(LOGO_PATH), width=100)
+        else:
+            st.markdown("🧬")
     with col2:
         st.markdown("""
-            ## 🧬 **Neo Cures AI** – Advanced Biomedical Research Assistant  
-            *Powered by GPT-4o, PubMed, ArXiv, OpenFDA, and UMLS*
+            ## 🧬 **MedGenesis AI** – Biomedical Research Reimagined  
+            *Unified Intelligence from PubMed, ArXiv, OpenFDA, UMLS, and GPT-4o*
         """)
-        st.caption("Built by Oluwafemi Idiakhoa | Hugging Face Spaces")
+        st.caption("Created by Oluwafemi Idiakhoa | Hugging Face Spaces")
 
     st.markdown("---")
 
@@ -55,7 +63,7 @@ def render_ui():
 
     if st.button("Run Search 🚀"):
         with st.spinner("Thinking... Gathering and analyzing data across 5 systems..."):
-            results = orchestrate_search(query)
+            results = asyncio.run(orchestrate_search(query))
             st.success("Search complete! 🎉")
 
             # Papers
@@ -91,7 +99,7 @@ def render_ui():
     follow_up = st.text_input("What do you want to ask based on the above?", placeholder="e.g. What's the most promising therapy?")
     if st.button("Ask AI"):
         with st.spinner("Analyzing and responding..."):
-            ai_answer = answer_ai_question(follow_up, context=query)
+            ai_answer = asyncio.run(answer_ai_question(follow_up, context=query))
             st.success("AI's Response:")
             st.write(ai_answer["answer"])