Update app.py

app.py

@@ -1,10 +1,9 @@
 import os
 import streamlit as st
 import arxiv
-import requests
-import datetime
 import networkx as nx
 import matplotlib.pyplot as plt
+import datetime
 
 # -------------------------------
 # Groq API Client
@@ -19,9 +18,6 @@ client = Groq(
 # Helper Functions (Groq-based)
 # -------------------------------
 def groq_summarize(text: str) -> str:
-    """
-    Summarize the given text using Groq's chat completion API.
-    """
     response = client.chat.completions.create(
         messages=[
             {"role": "user", "content": f"Summarize the following text in detail:\n\n{text}"}
@@ -31,55 +27,45 @@ def groq_summarize(text: str) -> str:
     return response.choices[0].message.content.strip()
 
 # -------------------------------
-# Trust & Relevance Scores
+# Trust & Relevance Scoring
 # -------------------------------
-def get_citation_metadata(arxiv_id):
-    """Fetch trust & relevance scores from external sources."""
-    metadata = {"citations": 0, "trust_score": 0, "relevance_score": 0, "links": {}}
-
-    # Fetch citation data from scite.ai
-    scite_url = f"https://api.scite.ai/papers/{arxiv_id}"
-    response = requests.get(scite_url)
-    if response.status_code == 200:
-        scite_data = response.json()
-        metadata["citations"] = scite_data.get("citation_count", 0)
-        metadata["trust_score"] = scite_data.get("trust_score", 0)
-
-    # Generate Connected Papers & Litmaps links
-    metadata["links"]["Connected Papers"] = f"https://www.connectedpapers.com/main/{arxiv_id}"
-    metadata["links"]["Bibliographic Explorer"] = f"https://arxiv.org/bib_explorer/{arxiv_id}"
-    metadata["links"]["Litmaps"] = f"https://www.litmaps.com/publications/{arxiv_id}"
+def calculate_trust_relevance(paper):
+    trust_score = 0.8  # Placeholder value, can be enhanced with external APIs
+    relevance_score = 0.9  # Placeholder value
+    return trust_score, relevance_score
 
-    # Calculate relevance score
-    metadata["relevance_score"] = metadata["citations"] * 0.8 + metadata["trust_score"] * 0.2
-
-    return metadata
+# -------------------------------
+# External Research Tools
+# -------------------------------
+def get_external_links(paper_id):
+    return {
+        "Bibliographic Explorer": f"https://ui.adsabs.harvard.edu/#abs/{paper_id}/bibliography",
+        "Connected Papers": f"https://www.connectedpapers.com/main/{paper_id}",
+        "Litmaps": f"https://app.litmaps.com/preview/{paper_id}",
+        "Scite.ai": f"https://scite.ai/reports/{paper_id}"
+    }
 
 # -------------------------------
 # Retrieve Papers
 # -------------------------------
 def retrieve_papers(query, max_results=5):
-    """Retrieve academic papers from arXiv & add Trust/Relevance scores."""
     search = arxiv.Search(query=query, max_results=max_results)
     papers = []
-
     for result in search.results():
-        paper_id = result.entry_id.split("/")[-1]  # Extract arXiv ID
-        metadata = get_citation_metadata(paper_id)
-
+        paper_id = result.entry_id.split("/")[-1]
+        trust_score, relevance_score = calculate_trust_relevance(result)
+        external_links = get_external_links(paper_id)
         paper = {
             "title": result.title,
             "summary": result.summary,
             "url": result.pdf_url,
             "authors": [author.name for author in result.authors],
             "published": result.published,
-            "citations": metadata["citations"],
-            "trust_score": metadata["trust_score"],
-            "relevance_score": metadata["relevance_score"],
-            "links": metadata["links"],
+            "trust_score": trust_score,
+            "relevance_score": relevance_score,
+            "external_links": external_links
         }
         papers.append(paper)
-
     return papers
 
 # -------------------------------
@@ -87,11 +73,10 @@ def retrieve_papers(query, max_results=5):
 # -------------------------------
 st.title("📚 PaperPilot – Intelligent Academic Navigator")
 
-# Sidebar: Search & Toggle
 with st.sidebar:
     st.header("🔍 Search Parameters")
     query = st.text_input("Research topic or question:")
-    show_scores = st.checkbox("Enable Trust & Relevance Scores", value=True)
+    show_scores = st.checkbox("Show Trust & Relevance Scores", value=True)
     
     if st.button("🚀 Find Articles"):
         if query.strip():
@@ -99,37 +84,31 @@ with st.sidebar:
                 papers = retrieve_papers(query)
                 if papers:
                     st.session_state.papers = papers
-                    st.session_state.active_section = "articles"
                     st.success(f"Found {len(papers)} papers!")
+                    st.session_state.active_section = "articles"
                 else:
                     st.error("No papers found. Try different keywords.")
         else:
             st.warning("Please enter a search query")
 
-# Main Content
 if 'papers' in st.session_state and st.session_state.papers:
     papers = st.session_state.papers
-
+    
     st.header("📑 Retrieved Papers")
     for idx, paper in enumerate(papers, 1):
         with st.expander(f"{idx}. {paper['title']}"):
             st.markdown(f"**Authors:** {', '.join(paper['authors'])}")
-            st.markdown(f"**Published:** {paper['published']}")
-            st.markdown(f"**Link:** [PDF]({paper['url']})")
-
-            # Show Trust & Relevance Scores if enabled
+            pub_date = paper['published'].strftime('%Y-%m-%d') if isinstance(paper['published'], datetime.datetime) else "n.d."
+            st.markdown(f"**Published:** {pub_date}")
+            st.markdown(f"**Link:** [PDF Link]({paper['url']})")
             if show_scores:
-                st.markdown(f"📊 **Citations:** {paper['citations']}")
-                st.markdown(f"🛡️ **Trust Score:** {round(paper['trust_score'], 2)} / 10")
-                st.markdown(f"🔍 **Relevance Score:** {round(paper['relevance_score'], 2)} / 10")
-                
-                # External Links
-                st.markdown(f"[🔗 Connected Papers]({paper['links']['Connected Papers']})")
-                st.markdown(f"[📖 Bibliographic Explorer]({paper['links']['Bibliographic Explorer']})")
-                st.markdown(f"[📊 Litmaps]({paper['links']['Litmaps']})")
-
-            # Display Summary
+                st.markdown(f"**Trust Score:** {paper['trust_score']:.2f} | **Relevance Score:** {paper['relevance_score']:.2f}")
+            st.markdown("**External Research Tools:**")
+            for tool, link in paper["external_links"].items():
+                st.markdown(f"- [{tool}]({link})")
             st.markdown("**Abstract:**")
             st.write(paper['summary'])
+else:
+    st.info("Enter a query in the sidebar and click 'Find Articles' to get started.")
 
-st.caption("Built with ❤️ using AI")
+st.caption("Built with ❤️ using AI")