Update app.py

app.py

@@ -5,11 +5,10 @@ import torch
 from itertools import chain
 
 raw_dataset = load_dataset("asuender/motivational-quotes", "quotes_extended", split="train")
-dataset = list(raw_dataset)
 
-quotes = [item["quote"] for item in dataset]
-authors = [item["author"] for item in dataset]
-tags_list = [item["tags"] for item in dataset]
+quotes = [item["quote"] for item in raw_dataset]
+authors = [item["author"] for item in raw_dataset]
+tags_list = [item["tags"] for item in raw_dataset]
 
 all_tags = list(set(chain.from_iterable(tags_list)))
 all_tags.sort()
@@ -35,7 +34,7 @@ def recommend_quote(mood_input, selected_tag):
 
     result = ""
     for i in top_k.indices[0]:
-        result += f"\"{f_quotes[i]}\"\n— {f_authors[i]}\n\n"
+        result += f"{f_quotes[i]}\n– {f_authors[i]}\n\n"
 
     return result.strip()
 
@@ -46,7 +45,7 @@ iface = gr.Interface(
         gr.Dropdown(choices=all_tags, label="Select a category")
     ],
     outputs="text",
-    title="MoodMatch - AI Quote Recommender",
+    title="MoodMatch – AI Quote Recommender",
     description="Get inspiring quotes based on your mood and selected category."
 )