Update app.py

app.py

@@ -1,33 +1,85 @@
 import os
 import gradio as gr
 import requests
-import inspect
 import pandas as pd
-from langchain_core.messages import HumanMessage
-from agent import build_graph
+import datetime
+from smolagents import CodeAgent, OpenAIServerModel, DuckDuckGoSearchTool, VisitWebpageTool, tool
 
-# (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 
 
-# --- Basic Agent Definition ---
-# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+@tool
+def get_current_time_in_timezone(timezone: str) -> str:
+    """A tool that fetches the current local time in a specified timezone.
+    Args:
+        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+    """
+    try:
+        import pytz
+        import datetime
+        tz = pytz.timezone(timezone)
+        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
+        return f"The current local time in {timezone} is: {local_time}"
+    except Exception as e:
+        return f"Error fetching time for timezone {timezone}: {str(e)}"
+
+
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
-        self.graph = build_graph(provider="hf")
-    def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
-        result = self.graph.invoke(
-        {
-            "messages": [HumanMessage(content=question)]
-        }
+        # 1. On initialise 
+        self.search_tool = DuckDuckGoSearchTool()
+        self.visit_tool = VisitWebpageTool()
+
+        # 2. Model Blackbox
+        self.model = OpenAIServerModel(
+            model_id="blackboxai/google/gemini-3-pro-preview",
+            api_base="https://api.blackbox.ai",
+            api_key=os.getenv("BB_TOKEN") 
+        )
+
+        # 3. On crée l'agent
+        self.agent = CodeAgent(
+            # On lui donne les 3 outils
+            tools=[self.search_tool, self.visit_tool, get_current_time_in_timezone], 
+            model=self.model,
+            add_base_tools=True,
+            max_steps=20, 
+            additional_authorized_imports=["datetime", "math", "re", "statistics", "random", "pandas", "pytz", "itertools"]
         )
-        answer = result["messages"][-1].content
-        return answer.strip()
+        print("✅ Agent Blackbox Initialisé avec succès.")
 
+    def __call__(self, question: str) -> str:
+        print(f" Question reque: {question}")
+        
+        formatted_prompt = f"""
+        Answer this task by providing ONLY the final answer.
+        
+        ### STRATEGY:
+        1. Use 'get_current_time_in_timezone' if the question involves time.
+        2. Use 'search_tool' to find info, then 'visit_tool' to read page details.
+        3. If there is a file (excel/csv), use 'pandas' to read it in your python code.
+        4. Calculate the result precisely using Python.
+        
+        Question: {question}
+        
+        Final Answer:
+        """
+        
+        try:
+            output = self.agent.run(formatted_prompt)
+            
+            if isinstance(output, dict) and "final_answer" in output:
+                return str(output["final_answer"]).strip()
+            
+            return str(output).strip()
+            
+        except Exception as e:
+            print(f"❌ Error: {e}")
+            return "Error."
+
+# --- 4. EXECUTION ---
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
@@ -155,11 +207,9 @@ 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).
@@ -184,8 +234,9 @@ 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")
+    BB_TOKEN = os.getenv("BB_TOKEN")# Get SPACE_ID at startup
+    print("$$$$$$$$$$$$$$$$$$$$", BB_TOKEN)
     if space_host_startup:
         print(f"✅ SPACE_HOST found: {space_host_startup}")
         print(f"   Runtime URL should be: https://{space_host_startup}.hf.space")