updated question structure

app.py

@@ -16,22 +16,21 @@ model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torc
 
 def generate_sql_query(context, question):
     """
-    Generate an SQL query based on the question and context.
+    This is the description of the database which is given to you, a user can ask
+    anything related to this database
 
     Args:
         context (str): Description of the database schema or table relationships.
         question (str): User's natural language query.
 
     Returns:
-        str: Generated SQL query.
+        str: An answer to the question.
     """
     # Prepare the prompt
     prompt = f"""
     Context: {context}
 
     Question: {question}
-
-    Write an SQL query to address the question based on the context.
     Query:
     """
     # Tokenize input