Update app.py

app.py

@@ -2,14 +2,19 @@ from langchain.vectorstores import Qdrant
 from langchain.embeddings import HuggingFaceEmbeddings
 from qdrant_client import QdrantClient
 import gradio as gr
+from transformers.utils import logging
+logging.set_verbosity_info()
+logger = logging.get_logger("transformers")
 
 def process_text(input_text, top_k):
     embeddings = HuggingFaceEmbeddings(model_name="intfloat/multilingual-e5-base")
+    logger.info("embeddings")
     client = QdrantClient(
         path="./local_qdrant", prefer_grpc=True
     )
+    logger.info("client")
     db = Qdrant(client=client, embeddings=embeddings, collection_name="qa_data")
-
+    logger.info("db")
     query = input_text
 
     all_answers = []