Upload app.py

app.py

@@ -88,7 +88,7 @@ Similarly, when you input a set of tags, the system creates a pseudo-document fo
 It then compares your tags against each artist's collection, essentially finding which artist's tags are most "similar" to yours.
 This method helps identify artists whose work is closely aligned with the themes or elements you're interested in.
 For those curious about the underlying mechanics of comparing text-like data, we employ the TF-IDF (Term Frequency-Inverse Document Frequency) method, a standard approach in information retrieval, and reduce the TF-IDF matrix to a reasonable size using Singular Value Decomposition.  
-You can read more about TF-IDF on its [Wikipedia page](https://en.wikipedia.org/wiki/Tf%E2%80%93idf) and Singular Value Decomposition on its [Wikipedia page] (https://en.wikipedia.org/wiki/Singular_value_decomposition).
+You can read more about TF-IDF on its [Wikipedia page](https://en.wikipedia.org/wiki/Tf%E2%80%93idf) and Singular Value Decomposition on its [Wikipedia page](https://en.wikipedia.org/wiki/Singular_value_decomposition).
 
 ## How does the tag corrector work?