Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import pandas as pd
 import pickle
 from sentence_transformers import SentenceTransformer, util
+import re
 
 mdl_name = 'sentence-transformers/all-distilroberta-v1'
 model = SentenceTransformer(mdl_name)
@@ -12,6 +13,7 @@ with open(embedding_cache_path, "rb") as fIn:
 
 embedding_table = cache_data["embeddings"]
 reviews = cache_data["data"]
+reviews['price'] = reviews.price.apply(lambda x: re.findall("\d+", x.replace(",","").replace(".00","").replace("$",""))[0]).astype('int')
 
 def user_query_recommend(query, min_p, max_p):
     # Embed user query
@@ -23,7 +25,6 @@ def user_query_recommend(query, min_p, max_p):
 
     # Recommend
     recommendations = reviews.copy()
-    recommendations['price'] =recommendations.price.apply(lambda x: re.findall("\d+", x.replace(",","").replace(".00","").replace("$",""))[0]).astype('int')
     recommendations['sim'] = sim_scores.T
     recommendations = recommendations.sort_values('sim', ascending=False)
     recommendations = recommendations.loc[(recommendations.price >= min_p) &