Update app.py

app.py

@@ -93,21 +93,22 @@ class SemanticSearch:
             embeddings.append(emb_batch)
         embeddings = np.vstack(embeddings)
         return embeddings'''
-	def get_text_embedding(self, texts):
-		embeddings = []
-		if isinstance(self.embedder, openai.Engine):
-			for text in texts:
-				response = self.embedder.search(
-					documents=texts,
-					query=text,
-					max_rerank=1
-				)
-				embeddings.append(response["data"][0]["score"])
-		elif isinstance(self.embedder, hub.Module):
-			embeddings = self.embedder(texts)
-		else:
-			raise ValueError("Invalid embedder.")
-		return np.array(embeddings)
+    
+def get_text_embedding(self, texts):
+    embeddings = []
+    if isinstance(self.embedder, openai.Engine):
+        for text in texts:
+            response = self.embedder.search(
+                documents=texts,
+                query=text,
+                max_rerank=1
+            )
+            embeddings.append(response["data"][0]["score"])
+    elif isinstance(self.embedder, hub.Module):
+        embeddings = self.embedder(texts)
+    else:
+        raise ValueError("Invalid embedder.")
+    return np.array(embeddings)
 
 
 def load_recommender(path, start_page=1):