vectors added

.gitattributes

@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 embeddings.txt filter=lfs diff=lfs merge=lfs -text
 data_final.csv filter=lfs diff=lfs merge=lfs -text
 data_prev.csv filter=lfs diff=lfs merge=lfs -text
+vectors.txt filter=lfs diff=lfs merge=lfs -text

app.py

@@ -21,7 +21,7 @@ def embed_bert_cls(text, model, tokenizer):
     embeddings = torch.nn.functional.normalize(embeddings)
     return embeddings[0].cpu().numpy()
 
-books_embs = np.loadtxt('embeddings.txt')
+books_embs = np.loadtxt('vectors.txt')
 
 index = faiss.IndexFlatIP(books_embs.shape[1])
 index.add(books_embs)
@@ -46,7 +46,7 @@ if text and recommend_button:
             st.image(df['image_url'][i], use_column_width=True)
             st.write(round(j* 100, 2))
         with col_2:
-            st.write(f'Название книги: {df["title"][i]}')
+            st.write(f'Название книги: **{df["title"][i]}**')
             st.write(f'Автор: {df["author"][i]}')
             st.write(f'Ссылка: {df["page_url"][i]}')
             st.write(f'Аннотация: {df["annotation"][i]}')

vectors.txt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b98252d0ec0d8e730da90d18b70da597f6ab2bac583f277e3f44437d90e69c34
+size 141223994