Update app.py

app.py

@@ -2,27 +2,22 @@ import os
 import datetime
 import pytz
 import yaml
-from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
+import requests
+from PIL import Image
+from smolagents import CodeAgent, HfApiModel, DuckDuckGoSearchTool, load_tool, tool
+from tools.final_answer import FinalAnswerTool
+from Gradio_UI import GradioUI
 
-# --- STEP 1: SECURITY & CONFIGURATION ---
-# Replace with your NEW token. 
-# Best practice: Set this in your system environment variables as HF_TOKEN
-#os.environ["HF_TOKEN"] = ""
+# --- 1. SETUP TOOLS ---
 
-# Creating a proper prompts.yaml to guide the agent's logic
-prompt_content = {
-    "system_prompt": (
-        "You are an expert AI assistant that can use python code to solve tasks. "
-        "You have access to tools. For every step, explain your thought process in 'Thought:', "
-        "then write the code in a 'Code:' block. Once you have the final answer, "
-        "provide it clearly."
-    )
-}
-
-with open("prompts.yaml", "w") as f:
-    yaml.dump(prompt_content, f)
-
-# --- STEP 2: DEFINE TOOLS ---
+@tool
+def my_custom_tool(arg1: str, arg2: int) -> str:
+    """A tool that returns a creative message.
+    Args:
+        arg1: the first argument
+        arg2: the second argument
+    """
+    return f"Magic is happening with {arg1} and {arg2}!"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -31,72 +26,55 @@ def get_current_time_in_timezone(timezone: str) -> str:
         timezone: A string representing a valid timezone (e.g., 'America/New_York').
     """
     try:
-        # Normalize common inputs
-        if timezone.lower() == "new york":
-            timezone = "America/New_York"
-        elif timezone.lower() == "london":
-            timezone = "Europe/London"
-            
         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: '{timezone}' is not a recognized timezone. Please use format like 'Europe/Paris'."
+        return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
-@tool
-def my_custom_tool(arg1: str, arg2: int) -> str:
-    """A placeholder tool for future custom logic. 
-    Args:
-        arg1: A descriptive string.
-        arg2: An integer multiplier or count.
-    """
-    return f"Logic processed: {arg1} received with value {arg2}."
+# Initialize the mandatory final answer tool
+final_answer = FinalAnswerTool()
 
-# --- STEP 3: INITIALIZE MODEL & TOOLS ---
+# --- 2. SETUP MODEL ---
+
+# Get your token from Space Secrets (Settings > Variables and secrets)
+hf_token = os.getenv("HF_TOKEN")
 
-# Use a highly available model. If Qwen 32B gives a 403, try 'meta-llama/Llama-3.3-70B-Instruct'
 model = HfApiModel(
     max_tokens=2096,
     temperature=0.5,
-    model_id='Qwen/Qwen2.5-Coder-32B-Instruct', 
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    token=hf_token
 )
 
-# Load the image generation tool
+# Load external tools
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+search_tool = DuckDuckGoSearchTool()
+
+# --- 3. LOAD PROMPTS ---
 
-# Load the prompt template from the file we just created
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
 
-# --- STEP 4: INITIALIZE AGENT ---
+# --- 4. INITIALIZE AGENT ---
 
 agent = CodeAgent(
     model=model,
     tools=[
+        final_answer, 
         get_current_time_in_timezone, 
-        DuckDuckGoSearchTool(), 
-        image_generation_tool,
-        my_custom_tool
-    ], 
-    max_steps=6,
+        my_custom_tool, 
+        image_generation_tool, 
+        search_tool
+    ],
+    max_steps=10,
     verbosity_level=1,
-    prompt_templates=prompt_templates
+    prompt_templates=prompt_templates,
+    # IMPORTANT: Allow these imports so the agent's code doesn't crash
+    additional_authorized_imports=['pytz', 'requests', 'PIL', 'datetime', 'io']
 )
 
-# --- STEP 5: EXECUTION ---
-
-if __name__ == "__main__":
-    print("--- Starting Agent Test ---")
-    
-    task = "What is the current time in New York? After you find the time, generate a beautiful image of a clock that reflects the style of that city."
-    
-    try:
-        result = agent.run(task)
-        print("\n--- FINAL ANSWER ---")
-        print(result)
-    except Exception as e:
-        print(f"\nAn error occurred during execution: {e}")
+# --- 5. LAUNCH UI ---
 
-    # Optional: If you want to launch a UI (requires 'gradio' installed)
-    # from Gradio_UI import GradioUI
-    # GradioUI(agent).launch()
+# This starts the Gradio interface defined in your course files
+GradioUI(agent).launch()