Update app.py

app.py

@@ -4,7 +4,7 @@ import requests
 import inspect
 import pandas as pd
 from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, FinalAnswerTool, HfApiModel
-
+from smolagents import DuckDuckGoSearchTool, LiteLLMModel, PythonInterpreterTool, CodeAgent, SpeechToTextTool, WikipediaSearchTool, VisitWebpageTool
 
 model = HfApiModel(
     model_id="Qwen/Qwen3-235B-A22B",
@@ -19,10 +19,28 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
-        self.agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=model)
+        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: FINAL ANSWER: [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.
+                        """
+        self.agent = CodeAgent(tools=[
+                DuckDuckGoSearchTool(),
+                PythonInterpreterTool(
+                    authorized_imports=AUTHORIZED_IMPORTS,
+                ),
+                SpeechToTextTool(),
+                WikipediaSearchTool(),
+                VisitWebpageTool()
+        ], model=model)
         print("BasicAgent initialized.")
+        self.agent.prompt_templates["system_prompt"] = self.agent.prompt_templates["system_prompt"] + system_prompt
     def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
+        print(f"Agent received question (first 50 chars): {question}...")
         fixed_answer = self.agent.run(question)
         print(f"Agent returning fixed answer: {fixed_answer}")
         return fixed_answer