update super concise prompt template

app.py

@@ -374,14 +374,15 @@ def create_conversational_chain(db, file_path, model_key):
     User Question: {question}
 
     IMPORTANT INSTRUCTIONS:
-    1. Answer the question directly about the CSV data with accurate information.
-    2. If asked for basic statistics (mean, sum, max, min, count, etc.), perform the calculation mentally and provide the result. Include up to 2 decimal places for non-integer values.
-    3. If asked about patterns or trends, analyze the data thoughtfully.
-    4. Keep answers concise but informative. Respond in the same language as the question.
-    5. If you are not certain of a precise answer, explain what you can determine from the available data.
-    6. You can perform simple calculations including: counts, sums, averages, minimums, maximums, and basic filtering.
-    7. For questions about specific values in the data, reference the sample data and available context.
-    8. Do not mention any programming language or how you would code the solution.
+    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:
     """