Update app.py

app.py

@@ -327,22 +327,9 @@ summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
 @tool
 def fetch_latest_arxiv_papers(keywords: list, num_results: int = 5) -> list:
+    
     """
     Fetches and ranks research papers from ArXiv using TF-IDF and Cosine Similarity.
-
-    Args:
-        keywords (list[str]): A list of keywords to search for relevant research papers.
-        num_results (int): The number of top-ranked papers to return. Defaults to 5.
-
-    Returns:
-        list[dict]: A list of dictionaries containing:
-            - "title" (str): The title of the paper.
-            - "authors" (str): The authors of the paper.
-            - "year" (str): The year of publication.
-            - "abstract" (str): A summary of the paper.
-            - "link" (str): A URL to the full paper.
-            - "citations" (int): The citation count of the paper.
-            - "summary" (str): A GPT-generated summary of the abstract.
     """