app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import os 
from tools.final_answer import FinalAnswerTool
import json

from Gradio_UI import GradioUI
from tools.visit_webpage import VisitWebpageTool


@tool
def get_movie_info(movie_title:str)-> dict: 

    """A tool that retrieves comprehensive information about a movie. This function return a dictionary contains these keys: Title, Genre, Director, Actors, Plot, Country,...
    Args:
        movie_title: A string representing a movie title (e.g., 'Parasite')
    """
    movieOmdbKey = os.getenv('movieOmdbKey')
    if not movieOmdbKey:
        print("Error: movieOmdbKey environment variable not set.")
        return None

    # Build API URL
    api_url = f"http://www.omdbapi.com/?apikey={movieOmdbKey}&t={movie_title}&plot=full"

    # Make API request
    response = requests.get(api_url)

    # Handle response
    if response.status_code == 200:
        data = response.json()
        return data
    else:
        print(f"Error: Unable to fetch movie data for '{movie_title}'. Status code: {response.status_code}")
        return None

@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:
        # 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)}"

search_on_internet = DuckDuckGoSearchTool()
visit_web_page = VisitWebpageTool()
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' 
llm_token = os.getenv('simpleAgentCourseToken')

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,
token = llm_token
)


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

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[get_movie_info , search_on_internet, visit_web_page, final_answer], ## add your tools here (don't remove final answer)
    max_steps=15,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()