Update README.md

README.md

@@ -77,8 +77,7 @@ model, tokenizer = FastLanguageModel.from_pretrained(
 prompt = """ You are an text to SQL query translator.
              Users will ask you questions in English
              and you will generate a SQL query based on their question
-             SQL has to be simple
-             and the provided SCHEMA.
+             SQL has to be simple, The schema context has been provided to you.
 
 
 ### User Question:
@@ -100,10 +99,10 @@ CREATE TABLE socially_responsible_lending (
 );
 
 INSERT INTO socially_responsible_lending VALUES
-    (1, 'John Doe', 5000),
-    (2, 'Jane Smith', 7000),
-    (3, 'Ali Hassan', 6000),
-    (4, 'Fatima Khan', 8000);
+    (1, 'james Chad', 5000),
+    (2, 'Jane Rajesh', 7000),
+    (3, 'Alia Kapoor', 6000),
+    (4, 'Fatima Patil', 8000);
 """
 
 inputs = tokenizer(