From c89af882c7d33fbc1796b4c77b54b3d844ad1549 Mon Sep 17 00:00:00 2001
From: Yangqing Jia <me@daggerfs.com>
Date: Thu, 14 Sep 2023 08:58:23 -0700
Subject: [PATCH] Update README.md for open-flamingo

---
 advanced/flamingo/README.md | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/advanced/flamingo/README.md b/advanced/flamingo/README.md
index 0d11a72..6c2c77b 100644
--- a/advanced/flamingo/README.md
+++ b/advanced/flamingo/README.md
@@ -42,9 +42,13 @@ lep deployment update -n flamingo --public
 Once the inference service is up (either locally or in the cloud), you can use the client to access it in a programmatical way:
 
 ```python
-from leptonai.client import Client
+from leptonai.client import Client, local, current
 
-client = Client(...)
+# Use this if you are running locally
+client = Client(local())
+# Or, if you are logged in to your workspace via `lep login` already
+# and have launched it:
+# client = Client(current(), "flamingo")
 
 inputs = {
   "demo_images": [