Fix out of bounds nanosecond timestamp

app.py

@@ -37,7 +37,7 @@ def get_similarity_score(model: SentenceTransformer,
     """Get similarity score for each data point and sort by similarity score and last day"""
     hits = semantic_search(model, query, corpus_embeddings)
     result = pd.merge(data, hits, left_on='ID', right_on='corpus_id')
-    result['Last Day'] = pd.to_datetime(result['Last Day'], format='%d/%m/%Y').dt.date
+    result['Last Day'] = pd.to_datetime(result['Last Day'], format='%d/%m/%Y', errors='coerce').dt.date
     result.sort_values(by=['score', 'Last Day'], ascending=[False, True], inplace=True)
     return result
 
@@ -127,11 +127,6 @@ def main():
 
     if submitted:
         print(job_title + ',' + str(pd.Timestamp.now()))
-
-        # Logs data to text file
-        # with open('logs.txt', 'a', encoding='utf-8') as f:
-        #     f.write(job_title + ',' + str(pd.Timestamp.now()) + '\n')
-
         st.info(f'Showing most similar results for {job_title}...')
         result = get_similarity_score(model, data, job_title, corpus_embeddings)
         result = result[columns]