Update app.py

app.py

@@ -2,25 +2,23 @@ import feedparser
 import urllib.parse
 import yaml
 import gradio as gr
-from typing import List, Dict
 from smolagents import CodeAgent, HfApiModel, tool
 
 @tool
-def fetch_latest_arxiv_papers(keywords: List[str], num_results: int = 3) -> List[Dict[str, str]]:
-    """
-    Fetches the latest research papers from arXiv.
+def fetch_latest_arxiv_papers(keywords: list, num_results: int = 3) -> list:
+    """Fetches the latest research papers from arXiv based on provided keywords.
 
     Args:
-        keywords (List[str]): A list of search keywords to filter relevant papers.
-        num_results (int): The maximum number of research papers to fetch. Default is 3.
+        keywords: A list of keywords to search for relevant papers.
+        num_results: The number of papers to fetch (default is 3).
 
     Returns:
-        List[Dict[str, str]]: A list of dictionaries where each dictionary contains:
-            - "title" (str): The title of the research paper.
-            - "authors" (str): The authors of the paper.
-            - "year" (str): The publication year.
-            - "abstract" (str): A summary of the research paper.
-            - "link" (str): A direct link to the paper on arXiv.
+        A list of dictionaries containing:
+            - "title": The title of the research paper.
+            - "authors": The authors of the paper.
+            - "year": The publication year.
+            - "abstract": A summary of the research paper.
+            - "link": A direct link to the paper on arXiv.
     """
     try:
         print(f"DEBUG: Searching arXiv papers with keywords: {keywords}")  # Debug input
@@ -49,7 +47,7 @@ def fetch_latest_arxiv_papers(keywords: List[str], num_results: int = 3) -> List
 
     except Exception as e:
         print(f"ERROR: {str(e)}")  # Debug errors
-        return [{"error": f"Error fetching research papers: {str(e)}"}]
+        return [f"Error fetching research papers: {str(e)}"]
 
 # ✅ Define the AI Model
 model = HfApiModel(