Update app.py

app.py

@@ -180,15 +180,25 @@ def use_keywords_to_search_and_update_csv(keywords):
     global last_repo_ids, current_repo_idx
     if not keywords:
         return pd.DataFrame(columns=["repo id", "strength", "weaknesses", "speciality", "relevance rating"])
-    # Use the keywords to search for repos
-    repo_ids = search_top_spaces(keywords, limit=5)
-    last_repo_ids = repo_ids
+    # Split keywords and search for each
+    keyword_list = [k.strip() for k in keywords.split(",") if k.strip()]
+    repo_ids = []
+    for kw in keyword_list:
+        repo_ids.extend(search_top_spaces(kw, limit=3))  # limit=3 per keyword
+    # Remove duplicates while preserving order
+    seen = set()
+    unique_repo_ids = []
+    for rid in repo_ids:
+        if rid not in seen:
+            unique_repo_ids.append(rid)
+            seen.add(rid)
+    last_repo_ids = unique_repo_ids
     current_repo_idx = 0
     csv_filename = "repo_ids.csv"
     with open(csv_filename, mode="w", newline='', encoding="utf-8") as csvfile:
         writer = csv.writer(csvfile)
         writer.writerow(["repo id", "strength", "weaknesses", "speciality", "relevance rating"])
-        for repo_id in repo_ids:
+        for repo_id in unique_repo_ids:
             writer.writerow([repo_id, "", "", "", ""])
     df = read_csv_as_text(csv_filename)
     return df