Update app.py

app.py

@@ -323,9 +323,23 @@ from transformers import pipeline
 # GPT Summarization Pipeline
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
-@tool  # ✅ Register function as a SmolAgents tool
+@tool
 def fetch_latest_arxiv_papers(keywords: list, num_results: int = 5) -> list:
-    """Fetches and ranks arXiv papers using TF-IDF and Cosine Similarity."""
+    """
+    Fetches and ranks research papers from ArXiv using TF-IDF and Cosine Similarity.
+
+    Args:
+        keywords (list): A list of keywords to search for relevant research papers.
+        num_results (int): The number of top-ranked papers to return.
+
+    Returns:
+        list: A list of dictionaries containing:
+            - "title": The title of the paper.
+            - "authors": Authors of the paper.
+            - "year": Year of publication.
+            - "abstract": Short summary of the paper.
+            - "link": URL to the full paper.
+    """
     try:
         query = "+AND+".join([f"all:{kw}" for kw in keywords])  
         query_encoded = urllib.parse.quote(query)