Update app.py

app.py

@@ -2,7 +2,10 @@ import gradio as gr
 
 description = """Do you have a long document and a bunch of questions that can be answered given the data in this file? 
 Fear not for this demo is for you. 
-Upload your pdf, ask your questions and wait for the magic to happen."""
+Upload your pdf, ask your questions and wait for the magic to happen.
+DISCLAIMER: I do no have idea what happens to the pdfs that you upload and who has access to them so make sure there is nothing confidential there. 
+On top of that, to speed up examples calculation, your query and the name of the document will be logged in.
+"""
 title = "QA answering from a pdf."
 
 import numpy as np
@@ -82,7 +85,7 @@ def encode_docs(docs,maxlen = 64, stride = 32):
    
 def predict(query,data):
     name_to_save = data.name.split("/")[-1].split(".")[0][:-8]
-    print(name_to_save)
+
     st = str([query,name_to_save])
     st_hashed = str(hashlib.sha256(st.encode()).hexdigest()) #just to speed up examples load
     hist = st + " " + st_hashed