update super super concise prompt template

app.py

@@ -358,12 +358,12 @@ def create_conversational_chain(db, file_path, model_key):
     
     # Create improved prompt template that focuses on pure LLM analysis
     template = """
-    You are an expert data analyst tasked with answering questions about a CSV file. The file has been analyzed, and its structure is provided below.
+    You are an expert data analyst tasked with answering questions about a CSV file.
 
     CSV File Structure:
     - Total rows: {row_count}
     - Total columns: {column_count}
-    - Columns: {columns_list}
+    - Columns names: {columns_list}
 
     Sample data (first few rows):
     {sample_data}
@@ -373,18 +373,9 @@ def create_conversational_chain(db, file_path, model_key):
 
     User Question: {question}
 
-    IMPORTANT INSTRUCTIONS:
-    1. Answer ONLY what was asked. Be extremely brief.
-    2. Do NOT explain your reasoning process or methodology.
-    3. Do NOT show code or calculations even if performed.
-    4. Do NOT provide additional information beyond what was asked.
-    5. For calculations, just provide the final result with up to 2 decimal places.
-    6. Do NOT offer any explanations or clarifications unless asked.
-    7. Do NOT begin with phrases like "Based on the data..." or "According to the CSV...".
-    8. Do NOT end with phrases like "Is there anything else..." or "Let me know if...".
-    9. DO NOT restate or rephrase the question.
-
-    Your analysis:
+    Give only the direct answer to the question. Be extremely brief. Do not explain your reasoning, calculations, or codes.
+
+    Your answer:
     """
     
     PROMPT = PromptTemplate(