updatedapp.py

app.py

@@ -3,6 +3,9 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+import re
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, tool
+from tools.final_answer import FinalAnswerTool
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -12,12 +15,64 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        print("Smart Agent initialized.")
+
+        self.final_answer = FinalAnswerTool()
+
+        self.model = HfApiModel(
+            model_id="Qwen/Qwen2.5-7B-Instruct",
+            temperature=0,
+            max_tokens=2048,
+        )
+
+        @tool
+        def fetch_file(url: str) -> str:
+            """Download and return text content from a URL."""
+            response = requests.get(url, timeout=20)
+            response.raise_for_status()
+            return response.text
+
+        @tool
+        def calculate(expression: str) -> str:
+            """Safely evaluate a mathematical expression."""
+            allowed_chars = "0123456789+-*/(). "
+            if not all(c in allowed_chars for c in expression):
+                return "Invalid expression"
+            try:
+                return str(eval(expression))
+            except Exception:
+                return "Calculation error"
+
+        self.agent = CodeAgent(
+            model=self.model,
+            tools=[
+                self.final_answer,
+                DuckDuckGoSearchTool(),
+                fetch_file,
+                calculate,
+            ],
+            max_steps=8,
+            verbosity_level=0,
+            description="You are a precise problem-solving agent. Return ONLY the final answer."
+        )
+
+    def clean_output(self, text: str) -> str:
+        text = str(text).strip()
+        text = re.sub(r"^Final Answer:\s*", "", text, flags=re.IGNORECASE)
+        text = re.sub(r"^Answer:\s*", "", text, flags=re.IGNORECASE)
+        text = text.rstrip(".")
+        return text.strip()
+
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        try:
+            result = self.agent.run(question)
+            cleaned = self.clean_output(result)
+            print(f"Agent returning answer: {cleaned}")
+            return cleaned
+        except Exception as e:
+            print(f"Agent error: {e}")
+            return "Error"
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -146,11 +201,9 @@ with gr.Blocks() as demo:
     gr.Markdown(
         """
         **Instructions:**
-
         1.  Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
         2.  Log in to your Hugging Face account using the button below. This uses your HF username for submission.
         3.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
-
         ---
         **Disclaimers:**
         Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).
@@ -163,7 +216,6 @@ with gr.Blocks() as demo:
     run_button = gr.Button("Run Evaluation & Submit All Answers")
 
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
-    # Removed max_rows=10 from DataFrame constructor
     results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
 
     run_button.click(
@@ -173,9 +225,8 @@ with gr.Blocks() as demo:
 
 if __name__ == "__main__":
     print("\n" + "-"*30 + " App Starting " + "-"*30)
-    # Check for SPACE_HOST and SPACE_ID at startup for information
     space_host_startup = os.getenv("SPACE_HOST")
-    space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
+    space_id_startup = os.getenv("SPACE_ID")
 
     if space_host_startup:
         print(f"✅ SPACE_HOST found: {space_host_startup}")
@@ -183,7 +234,7 @@ if __name__ == "__main__":
     else:
         print("ℹ️  SPACE_HOST environment variable not found (running locally?).")
 
-    if space_id_startup: # Print repo URLs if SPACE_ID is found
+    if space_id_startup:
         print(f"✅ SPACE_ID found: {space_id_startup}")
         print(f"   Repo URL: https://huggingface.co/spaces/{space_id_startup}")
         print(f"   Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
@@ -193,4 +244,4 @@ if __name__ == "__main__":
     print("-"*(60 + len(" App Starting ")) + "\n")
 
     print("Launching Gradio Interface for Basic Agent Evaluation...")
-    demo.launch(debug=True, share=False)
+    demo.launch(debug=True, share=False)