Update app.py

Final working version with motivational quote dataset

app.py

@@ -2,29 +2,37 @@ import gradio as gr
 from datasets import load_dataset
 from itertools import chain
 import random
+from difflib import get_close_matches
 
 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.get("tags", "").split(", ") if "tags" in item else [] for item in dataset]
-
+tags_list = [item["tags"].split(", ") if item["tags"] else [] for item in dataset]
 all_tags = sorted(set(chain.from_iterable(tags_list)))
 
-def recommend_quote(selected_tag):
+def recommend_quote(user_input):
+    if not user_input:
+        return "Please enter a category."
+    
+    matched = get_close_matches(user_input, all_tags, n=1, cutoff=0.5)
+    if not matched:
+        return f"😔 No quotes found for a category like '{user_input}'. Try something else."
+
+    selected_tag = matched[0]
     matches = [(q, a) for q, a, t in zip(quotes, authors, tags_list) if selected_tag in t]
+    
     if not matches:
-        return "😔 Sorry, no quotes found for that tag."
+        return f"😔 No quotes found for the tag '{selected_tag}'."
+    
     quote, author = random.choice(matches)
-    return f"{quote}\n– {author}"
+    return f"{quote}\n\n— {author}"
 
-iface = gr.Interface(
+gr.Interface(
     fn=recommend_quote,
-    inputs=gr.Dropdown(choices=all_tags, label="Type a category", interactive=True),
+    inputs=gr.Textbox(label="Type a category like 'hope', 'courage', 'love'...", placeholder="e.g. hope"),
     outputs="text",
     title="MoodMatch",
-    description="Start typing a category like 'hope', 'courage', or 'mindfulness' to get an inspiring quote."
-)
-
-iface.launch()
+    description="Get inspiring quotes by typing any theme or category — even partial matches work."
+).launch()