catch error

app.py

@@ -1,22 +1,30 @@
 import gradio as gr
 import requests
-from cachetools import cached,TTLCache
+from cachetools import cached, TTLCache
+
+CACHE_TIME = 60 * 60 * 12  # 12 hours
 
-CACHE_TIME = 60*60*12 # 12 hours
 
 def parse_arxiv_id_from_paper_url(url):
     return url.split("/")[-1]
 
+
 @cached(cache=TTLCache(maxsize=500, ttl=CACHE_TIME))
 def get_recommendations_from_semantic_scholar(semantic_scholar_id: str):
-    r = requests.post(
-        "https://api.semanticscholar.org/recommendations/v1/papers/",
-        json={
-            "positivePaperIds": [semantic_scholar_id],
-        },
-        params={"fields": "externalIds,title,year", "limit": 10},
-    )
-    return r.json()["recommendedPapers"]
+    try:
+        r = requests.post(
+            "https://api.semanticscholar.org/recommendations/v1/papers/",
+            json={
+                "positivePaperIds": [semantic_scholar_id],
+            },
+            params={"fields": "externalIds,title,year", "limit": 10},
+        )
+        return r.json()["recommendedPapers"]
+    except KeyError as e:
+        raise gr.Error(
+            "Error getting recommendations, if this is a new paper it may not yet have"
+            " been indexed by Semantic Scholar."
+        ) from e
 
 
 def filter_recommendations(recommendations, max_paper_count=5):
@@ -28,6 +36,7 @@ def filter_recommendations(recommendations, max_paper_count=5):
         arxiv_paper = arxiv_paper[:max_paper_count]
     return arxiv_paper
 
+
 @cached(cache=TTLCache(maxsize=500, ttl=CACHE_TIME))
 def get_paper_title_from_arxiv_id(arxiv_id):
     try:
@@ -42,7 +51,7 @@ def get_paper_title_from_arxiv_id(arxiv_id):
 def format_recommendation_into_markdown(arxiv_id, recommendations):
     # title = get_paper_title_from_arxiv_id(arxiv_id)
     # url = f"https://huggingface.co/papers/{arxiv_id}"
-   # comment = f"Recommended papers for [{title}]({url})\n\n"
+    # comment = f"Recommended papers for [{title}]({url})\n\n"
     comment = "The following papers were recommended by the Semantic Scholar API \n\n"
     for r in recommendations:
         hub_paper_url = f"https://huggingface.co/papers/{r['externalIds']['ArXiv']}"