Update app.py

app.py

@@ -107,6 +107,11 @@ def load_example_files():
     return None
 
 def cluster_sentences(sentences, num_clusters):
+    # Check if the number of sentences is less than the desired number of clusters
+    if len(sentences) < num_clusters:
+        # If so, adjust the number of clusters to match the number of sentences
+        num_clusters = len(sentences)
+
     # Vectorize the sentences
     vectorizer = TfidfVectorizer()
     X = vectorizer.fit_transform(sentences)