From 1f17ac53a5e0ed5c1aba72ecc3431834a8b4643f Mon Sep 17 00:00:00 2001
From: Maixent Chenebaux <max.chbx@gmail.com>
Date: Tue, 13 Oct 2020 15:14:51 +0200
Subject: [PATCH] fixed readme

---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 8042c6f..de85005 100755
--- a/README.md
+++ b/README.md
@@ -21,7 +21,7 @@ pip install eldar
 ### Basic usage
 
 ```python
-from eldar import build_query
+from eldar import Query
 
 
 # build list
@@ -32,7 +32,7 @@ documents = [
     "Elijah Wood was cast as Frodo Baggins in Jackson's adaptation",
     "The Lord of the Rings is an epic fantasy novel by J. R. R. Tolkien"]
 
-eldar = build_query('("gandalf" OR "frodo") AND NOT ("movie" OR "adaptation")')
+eldar = Query('("gandalf" OR "frodo") AND NOT ("movie" OR "adaptation")')
 
 # use `filter` to get a list of matches:
 print(eldar.filter(documents))
@@ -49,7 +49,7 @@ print(eldar(documents[2]))
 
 You can also use it to mask Pandas DataFrames:
 ```python
-from eldar import build_query
+from eldar import Query
 import pandas as pd
 
 
@@ -63,7 +63,7 @@ df = pd.DataFrame([
     columns=['content'])
 
 # build query object
-eldar = build_query('("gandalf" OR "frodo") AND NOT ("movie" OR "adaptation")')
+eldar = Query('("gandalf" OR "frodo") AND NOT ("movie" OR "adaptation")')
 
 # eldar's call returns True if the text matches the query.
 # You can filter a dataframe using pandas mask syntax: