Update app.py

app.py

@@ -11,7 +11,6 @@ from qdrant_client import models, QdrantClient
 from itertools import islice
 
 FILEPATH_PATTERN = "structured_data_doc.parquet"
-CACHE_DIR = "cache"
 NUM_PROC = os.cpu_count()
 
 
@@ -71,7 +70,6 @@ async def create_upload_file(file: UploadFile = File(...)):
                 data_files=FILEPATH_PATTERN,
                 split="train",
                 keep_in_memory=True,
-                cache_dir=CACHE_DIR,
                 num_proc=NUM_PROC*2)
     # Generate and append embeddings to the train split
     law_embeddings = generate_embeddings(full_dataset)