Update app.py

app.py

@@ -40,17 +40,17 @@ class SemanticSearch:
     
     
     def get_text_embedding(self, texts, batch=1000):
-    embeddings = []
-    for i in range(0, len(texts), batch):
-        text_batch = texts[i:(i+batch)]
-        print(f"Processing batch {i//batch + 1} of {len(texts)//batch + 1}")
-        print(f"Text batch: {text_batch}")
-        emb_batch = self.use(text_batch)
-        print(f"Embedding batch: {emb_batch}")
-        embeddings.append(emb_batch)
-    embeddings = np.vstack(embeddings)
-    print(f"Final embeddings: {embeddings}")
-    return embeddings
+        embeddings = []
+        for i in range(0, len(texts), batch):
+            text_batch = texts[i:(i+batch)]
+            print(f"Processing batch {i//batch + 1} of {len(texts)//batch + 1}")
+            print(f"Text batch: {text_batch}")
+            emb_batch = self.use(text_batch)
+            print(f"Embedding batch: {emb_batch}")
+            embeddings.append(emb_batch)
+        embeddings = np.vstack(embeddings)
+        print(f"Final embeddings: {embeddings}")
+        return embeddings
 
 
 def pdf_to_text(pdf_path, start_page=1):