Update app.py

app.py

@@ -77,12 +77,12 @@ def retrieve_document(query):
     embeddings_file = requests.get(API_URL_EMBEDDINGS)
     metadata_file = requests.get(API_URL_METADATA)
 
-    print(embeddings_file.json(), metadata_file.json())
+    print(embeddings_file.json()['index_file'], metadata_file.json()['metadata_file'])
     # Generate query embedding
     query_embedding = embedding_model.encode([query]).astype(np.float32)
 
     # Search for the closest document in FAISS index
-    index = faiss.read_index(embeddings_file)
+    index = faiss.read_index(embeddings_file.json()['index_file'])
     _, closest_idx = index.search(query_embedding, 1)
 
     with open(metadata_file, "r") as f: