diff --git a/similarities/weekly_cosine_similarities.py b/similarities/weekly_cosine_similarities.py
index bfd0b25..7b59694 100755
--- a/similarities/weekly_cosine_similarities.py
+++ b/similarities/weekly_cosine_similarities.py
@@ -75,17 +75,19 @@ def cosine_similarities_weekly_lsi(*args, n_components=100, lsi_model=None, **kw
     return cosine_similarities_weekly(*args, simfunc=simfunc, **kwargs)
 
 #tfidf = spark.read.parquet('/gscratch/comdata/users/nathante/competitive_exclusion_reddit/data/tfidf_weekly/comment_submission_terms_tfidf.parquet')
-def cosine_similarities_weekly(tfidf_path, outfile, term_colname, included_subreddits = None, topN = None, simfunc=column_similarities, min_df=None,max_df=None):
+def cosine_similarities_weekly(tfidf_path, outfile, term_colname, included_subreddits = None, topN = None, simfunc=column_similarities, min_df=None, max_df=None, static_tfidf_path=None):
     print(outfile)
     # do this step in parallel if we have the memory for it.
     # should be doable with pool.map
     conn = duckdb.connect() 
     subreddit_names = conn.execute(f"SELECT DISTINCT subreddit, subreddit_id from read_parquet('{tfidf_path}/*/*.parquet') ORDER BY subreddit_id;").df()
 
-    nterms = conn.execute(f"SELECT MAX({term_colname + '_id'}) as nterms FROM read_parquet('{tfidf_path}/*/*.parquet')").df()    
+    if static_tfidf_path is not None: 
+        nterms = conn.execute(f"SELECT MAX({term_colname + '_id'}) as nterms FROM read_parquet('{static_tfidf_path}/*/*.parquet')").df()    
+    else:
+        nterms = conn.execute(f"SELECT MAX({term_colname + '_id'}) as nterms FROM read_parquet('{tfidf_path}/*/*.parquet')").df()    
     nterms = nterms.nterms.values
-    print(nterms)
-    print(int(nterms[0]))
+    nterms = int(nterms[0])
     weeks = conn.execute(f"SELECT DISTINCT week FROM read_parquet('{tfidf_path}/*/*.parquet')").df()
     weeks = weeks.week.values
     conn.close()