Added instruction.

app.py

@@ -26,7 +26,8 @@ class BasicAgent:
         try:
             # Generate response
             print("Using Inference API for generation...")
-            response = self.client.text_generation(question)
+            prompt = f"""<s>[INST] Answer the following question directly without any explanations, introductions, or conclusions. Just provide the answer itself: {question} [/INST]</s>"""
+            response = self.client.text_generation(prompt, max_new_tokens=512, do_sample=True, temperature=0.1)
             answer = response
             print(f"Agent generated response (first 50 chars): {answer[:50]}...")
             return answer
@@ -105,6 +106,8 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             print(f"Error running agent on task {task_id}: {e}")
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
 
+        break  # Test one question only first
+
     if not answers_payload:
         print("Agent did not produce any answers to submit.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
@@ -160,7 +163,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
 
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
-    gr.Markdown("# Basic Agent Evaluation Runner #14")
+    gr.Markdown("# Basic Agent Evaluation Runner #15")
     gr.Markdown(
         """
         **Instructions:**