Refactor system prompt in app.py for clarity and update agent response handling

app.py

@@ -15,32 +15,27 @@ from llama_index.tools.duckduckgo import DuckDuckGoSearchToolSpec
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 
-llm = HuggingFaceInferenceAPI(model_name='Qwen/Qwen3-32B', num_output=2048)
+system_prompt="""You are a general AI assistant. I will ask you a question. Report your thoughts, and finish
+your answer with the following template:
+[YOUR FINAL ANSWER].
+YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of
+numbers and/or strings.
+If you are asked for a number, don’t use comma to write your number neither use units such as $ or percent
+sign unless specified otherwise.
+If you are asked for a string, don’t use articles, neither abbreviations (e.g. for cities), and write the digits in
+plain text unless specified otherwise.
+If you are asked for a comma separated list, apply the above rules depending of whether the element to be put
+in the list is a number or a string.
+"""
+
+llm = HuggingFaceInferenceAPI(model_name='Qwen/Qwen3-32B', num_output=2048, temperature=0.01)
 wikipedia_tools = WikipediaToolSpec().to_tool_list()
 search_tool = FunctionTool.from_defaults(DuckDuckGoSearchToolSpec().duckduckgo_full_search)
 
 agent = AgentWorkflow.from_tools_or_functions(
     tools_or_functions=[search_tool],
     llm=llm,
-    system_prompt="""You are a concise answer engine.
-ALWAYS output *only* the single entity requested—no explanations, no punctuation beyond the entity itself.
-If unsure, reply “Unknown”.
-Output must be a single word or name or number. Do not output anything else.
-Examples:
-Q: What is the capital of France?
-A: Paris
-
-Q: Who nominated the only Featured Article on English Wikipedia about a dinosaur promoted in November 2016?
-A: Ian Rose
-
-Q: How many legs does a spider have?
-A: 8
-
-Do not think step by step. Do not show any internal reasoning. Only respond with the exact entity.
-
-You can use the Wikipedia tool to search for information on Wikipedia, and the DuckDuckGo tool to search the web.
-Some of the questions might be valid sentences but with characters reversed.
-    """,
+    system_prompt=system_prompt,
     verbose=False,
 )
 
@@ -100,7 +95,7 @@ async def run_and_submit_all( profile: gr.OAuthProfile | None):
             print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
-            r = await agent.run(question_text)
+            r = await agent.run(system_prompt + question_text)
             submitted_answer = r.response.blocks[0].text
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})