Update app.py

app.py

@@ -1,83 +1,74 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
 import datetime
-import requests
-import pytz
 import yaml
-from tools.final_answer import FinalAnswerTool
-
-
-import google.generativeai as genai
 import os
 
-# Get the API key from the Hugging Face secret
-gemini_api_key = os.environ.get("GEMINI_API_KEY")
+from smolagents import CodeAgent, LiteLLMModel, load_tool, tool
+from tools.final_answer import FinalAnswerTool
+from Gradio_UI import GradioUI
+import pytz
 
-# Configure the generative AI client
-genai.configure(api_key=gemini_api_key)
+# It's crucial to set your GEMINI_API_KEY in your environment secrets.
+# The code will fail if the key is not found.
+if "GEMINI_API_KEY" not in os.environ:
+    raise ValueError("GEMINI_API_KEY environment variable not set! Please add it to your secrets.")
 
-# Create the generative model
-model = genai.GenerativeModel('gemini-1.5-flash')
-from Gradio_UI import GradioUI
+# --- Tool Definitions ---
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
+def my_custom_tool(arg1: str, arg2: int) -> str:
+    """A tool that does nothing yet
     Args:
         arg1: the first argument
         arg2: the second argument
     """
-    return "What magic will you build ?"
+    return "What magic will you build?"
 
 @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').
+        timezone: A string representing a valid timezone (e.g., 'America/New_York', 'Europe/Berlin').
     """
     try:
-        # Create timezone object
         tz = pytz.timezone(timezone)
-        # Get current time in that 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)}"
 
+# --- Main Application Setup ---
 
+# Initialize the mandatory final answer tool
 final_answer = FinalAnswerTool()
 
-# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
-# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
-
-
-'''
-model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
-custom_role_conversions=None,
-)
-'''
-
 # Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
+# Define the model using the LiteLLMModel wrapper for Gemini
+# This is the correct way to integrate external APIs with smolagents.
+model = LiteLLMModel(
+    model_id="gemini/gemini-1.5-flash",  # Using the LiteLLM identifier for the Gemini model
+    max_tokens=2096,
+    temperature=0.5,
+)
+
+# Load prompt templates from the YAML file
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+# Initialize the CodeAgent with the Gemini model and the defined tools
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[
+        final_answer,
+        my_custom_tool,
+        get_current_time_in_timezone,
+        image_generation_tool
+    ],
     max_steps=6,
     verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
     prompt_templates=prompt_templates
 )
 
-
+# Launch the Gradio user interface
 GradioUI(agent).launch()