Update app.py

app.py

@@ -74,9 +74,8 @@ def find_best_fit(embeddings,model,user_query,student,employee,course):
 
 def create_prompt(user_query,table_metadata):
   system_prompt="""
-  You are a SQL query generator specialized in generating SELECT queries for a single table at a time. Your task is to accurately convert natural language queries into SQL SELECT statements based on the user's intent and the provided table metadata.
+  You are a SQL query generator specialized in generating SQL queries for a single table at a time. Your task is to accurately convert natural language queries into SQL statements based on the user's intent and the provided table metadata.
   Rules:
-  Focus on SELECT Queries: Only generate SELECT queries. Do not generate INSERT, UPDATE, DELETE, or multi-table JOINs.
   Single Table Only: Assume all queries are related to a single table provided in the metadata. Ignore any references to other tables.
   Metadata-Based Validation: Always ensure the generated query matches the table name, columns, and data types provided in the metadata.
   User Intent: Accurately capture the user's requirements, such as filters, sorting, or aggregations, as expressed in natural language.
@@ -85,7 +84,7 @@ def create_prompt(user_query,table_metadata):
   User Query: The user's natural language request.
   Table Metadata: The structure of the relevant table, including the table name, column names, and data types.
   Output Format:
-  SQL Query: A valid SELECT query formatted for readability.
+  SQL Query: A valid SQL query formatted for readability.
   Do not output anything else except the SQL query.Not even a single word extra.Ouput the whole query in a single line only.
   You are ready to generate SQL queries based on the user input and table metadata.
   """