app.py

import datetime
import yaml
import os


from smolagents import CodeAgent, LiteLLMModel, DuckDuckGoSearchTool, load_tool, tool
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
import pytz

# 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.")

# --- Tool Definitions ---

@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', 'Europe/Berlin').
    """
    try:
        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)}"

# --- Main Application Setup ---

# Initialize the mandatory final answer tool
final_answer = FinalAnswerTool()

# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

# Initialize the pre-built DuckDuckGo search tool
web_search_tool = DuckDuckGoSearchTool()

# 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,
        web_search_tool,
        get_current_time_in_timezone,
        image_generation_tool
    ],
    max_steps=6,
    verbosity_level=1,
    prompt_templates=prompt_templates
)

# Launch the Gradio user interface
GradioUI(agent).launch()