Update app.py

app.py

@@ -13,16 +13,16 @@ st.write("# Semantic News Search 🔍📰")
 
 model = SentenceTransformer('all-MiniLM-L6-v2', device='cpu')
 
-df = pd.read_csv('data/financial-sentences.csv')
+df = pd.read_csv('financial-sentences.csv')
 sentences = df['sentences'].to_list()
 
 # check if embedding is available
 
-if exists('data/embeddings.npy'):
-    corpus_embeddings = np.load('data/embeddings.npy')
+if exists('embeddings.npy'):
+    corpus_embeddings = np.load('embeddings.npy')
 else:
     corpus_embeddings = model.encode(sentences, batch_size=23, show_progress_bar=False, convert_to_tensor=True)
-    np.save('data/embeddings.npy',  np.array(corpus_embeddings.cpu()))
+    np.save('embeddings.npy',  np.array(corpus_embeddings.cpu()))
 
 
 sentence = st.text_input('Enter a sentence:')