app.py

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

import os
import requests
from dotenv import load_dotenv
from geopy.geocoders import Nominatim
from datetime import datetime

MOVIE_LIMIT = 10

from Gradio_UI import GradioUI

def get_geolocation_from_zipcode(zipcode: any) -> str:
    """A helper method to get geolocation from zipcode
    Args:
        zipcode: zipcode
    """
    geolocator = Nominatim(user_agent='geocoding_app')
    location = geolocator.geocode(zipcode)
    if location:
        return location.latitude, location.longitude
    else:
        return None, None

@tool
def get_movies_by_zipcode(zipcode: any) -> str:
    """A tool that get a list of movies near a zipcode
    Args:
        zipcode: zipcode
    """
    load_dotenv()
    api_key = os.getenv('MOVIE_GLU_API_KEY')
    auth_key = os.getenv('MOVIE_GLU_AUTH_KEY')
    MOVIE_GLU_BASE_URL = 'https://api-gate2.movieglu.com/filmsNowShowing/?n='
    # print(f'api_key: {api_key}')
    # print(f'auth_key: {auth_key}')
    latitude, longitude = get_geolocation_from_zipcode(zipcode)
    current_date = datetime.now()
    # print(current_date.isoformat())

    headers = {
        'client': 'HOVL',
        'x-api-key': api_key,
        'authorization': auth_key,
        'territory': 'US',
        'api-version':	'v201',
        'geolocation': f'{latitude};{longitude}',
        'device-datetime': current_date.isoformat()
    }

    try:
        url = f'{MOVIE_GLU_BASE_URL}{zipcode}'
        response = requests.get(url, headers=headers)
        # print(f'response: {response.json()}')
        response.raise_for_status()
        json_response = response.json()
        movie_listings = '***********************************'
        count = 0
        for movies in json_response['films'][:MOVIE_LIMIT]:
            if count == 0:
                movie_listings += f'***********************************\n'
            movie_listings += f"Movie name: {movies['film_name']}\nMovie rating: {movies['age_rating'][0]['rating']}\nMovie description: {movies['synopsis_long']}\n"
            movie_listings += f'***********************************\n'
            count += 1

        return movie_listings
    except requests.exceptions.HTTPError as http_err:
        return f'HTTP error occurred while fetching movie listing for zipcode {zipcode}: {http_err}'
    except Exception as err:
        return f'Error fetching movie listing for zipcode: {zipcode}: {err}'

# 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 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    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').
    """
    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)}"


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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# 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)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[get_movies_by_zipcode, final_answer, image_generation_tool], ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()