Update app.py

app.py

@@ -8,23 +8,25 @@ api = os.getenv("GROQ_API_KEY")
 
 def create_prompt(user_query, table_metadata):
     system_prompt = """
-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.
+You are a SQL query generator for a single relational table.
+You must strictly follow the metadata and never guess or invent column names.
 
-Rules:
-- Single Table Only: Use only the table in the metadata.
-- Metadata-Based Validation: Use only columns in the metadata.
-- User Intent: Support filters, grouping, sorting, etc.
-- SQL Syntax: Use standard SQL (DuckDB compatible).
-- Output only valid SQL. No extra commentary.
+Instructions:
+- Use only the table and columns listed in the metadata.
+- Never generate queries with columns not present in the metadata.
+- If a column like 'gender' is not present, do not mention it.
+- Do not hallucinate values. Use provided structure only.
+- Output valid SQL (DuckDB-compatible), single line, no comments or explanations.
 
 Input:
 User Query: {user_query}
-Table Metadata: {table_metadata}
+Table Metadata:
+{table_metadata}
 
 Output:
-SQL Query (on a single line, nothing else).
-    """
+A single valid SQL SELECT statement using only metadata-provided columns.
+"""
+
     return system_prompt.strip(), f"User Query: {user_query}\nTable Metadata: {table_metadata}"
 
 def generate_output(system_prompt, user_prompt):