app.py

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

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def get_time_difference(location: str) -> str:
    """
    Calculates and returns the time difference between a specified location and U.S. Eastern Time.

    This tool fetches the current time for the given location and for the U.S. Eastern Time zone (America/New_York),
    then presents a fun, easy-to-read comparison.

    Args:
        location: The city or timezone to get the local time for (e.g., "London", "Asia/Tokyo", "Europe/Paris").
    """
    
    def get_time_data(timezone: str):
        """Helper function to fetch time data from the World Time API."""
        api_url = f"http://worldtimeapi.org/api/timezone/{timezone}"
        try:
            response = requests.get(api_url)
            # Raise an exception for bad status codes (4xx or 5xx)
            response.raise_for_status()
            return response.json()
        except requests.exceptions.RequestException as e:
            # This handles network errors, bad status codes, etc.
            print(f"API request failed for {timezone}: {e}")
            return None

    # Step 1: Get U.S. Eastern Time
    et_data = get_time_data("America/New_York")
    if not et_data:
        return "Oops! I couldn't connect to get the U.S. Eastern Time right now. Please try again later."

    # Step 2: Get time for the user-specified location
    # The API can be picky. We'll try the user's input directly first.
    # If it fails, we'll try to find a matching timezone.
    location_data = get_time_data(location)
    
    if not location_data:
        # Try to find a timezone that contains the location string
        try:
            all_timezones_response = requests.get("http://worldtimeapi.org/api/timezone")
            all_timezones_response.raise_for_status()
            all_timezones = all_timezones_response.json()
            
            # Find the first timezone that ends with the location name
            found_timezone = next((tz for tz in all_timezones if tz.lower().endswith(f"/{location.lower()}")), None)

            if found_timezone:
                print(f"Found matching timezone: {found_timezone}")
                location_data = get_time_data(found_timezone)
            else:
                 return f"Sorry, I couldn't find a timezone for '{location}'. Try a major city or a standard timezone format like 'Europe/London'."
        except requests.exceptions.RequestException:
             return "Sorry, I'm having trouble searching for that location right now."


    if not location_data:
        return f"I tried my best, but I still couldn't find the time for '{location}'. Are you sure it's spelled correctly?"

    # Step 3: Parse the datetime objects from the API responses
    try:
        et_time = datetime.fromisoformat(et_data['datetime'])
        location_time = datetime.fromisoformat(location_data['datetime'])
        location_timezone_name = location.replace('_', ' ').title()
        et_timezone_name = "U.S. Eastern Time"
    except (ValueError, KeyError):
        return "There was an issue processing the time data. It might be a temporary problem."

    # Step 4: Calculate the difference
    # We compare based on UTC offset to get the pure time difference
    et_offset_str = et_data['utc_offset']
    location_offset_str = location_data['utc_offset']
    
    et_offset = timedelta(hours=int(et_offset_str[1:3]), minutes=int(et_offset_str[4:6]))
    if et_offset_str[0] == '-':
        et_offset = -et_offset

    location_offset = timedelta(hours=int(location_offset_str[1:3]), minutes=int(location_offset_str[4:6]))
    if location_offset_str[0] == '-':
        location_offset = -location_offset

    time_difference = location_offset - et_offset
    
    # Step 5: Format the output string in a fun way
    diff_total_seconds = time_difference.total_seconds()
    diff_hours = int(diff_total_seconds / 3600)
    diff_minutes = int((diff_total_seconds % 3600) / 60)

    comparison = ""
    if diff_total_seconds == 0:
        comparison = f"{location_timezone_name} is in the same timezone as {et_timezone_name}!"
    else:
        ahead_or_behind = "ahead of" if diff_total_seconds > 0 else "behind"
        # Format the hours and minutes for readability
        hour_str = f"{abs(diff_hours)} hour{'s' if abs(diff_hours) != 1 else ''}"
        minute_str = f"{abs(diff_minutes)} minute{'s' if abs(diff_minutes) != 1 else ''}"
        
        if diff_hours != 0 and diff_minutes != 0:
            comparison = f"{location_timezone_name} is {hour_str} and {minute_str} {ahead_or_behind} {et_timezone_name}."
        elif diff_hours != 0:
            comparison = f"{location_timezone_name} is {hour_str} {ahead_or_behind} {et_timezone_name}."
        else: # Only minutes are different
            comparison = f"{location_timezone_name} is {minute_str} {ahead_or_behind} {et_timezone_name}."

    return (f"Time check! Right now, it's {et_time.strftime('%-I:%M %p')} in {et_timezone_name}, "
            f"which means it's {location_time.strftime('%-I:%M %p')} in {location_timezone_name}. "
            f"{comparison}")

@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.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='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)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, image_generation_tool, get_time_difference], ## 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()