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| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| 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 ! | |
| 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 ?" | |
| def get_weather(location: str) -> str: | |
| """Get current weather information for a specified location. | |
| Args: | |
| location: City name and optionally country code (e.g., 'London' or 'London,UK') | |
| """ | |
| try: | |
| # Replace with your actual API key | |
| API_KEY = "de1f560f2d4bea4e02dcdbe2e6f197a6" | |
| base_url = "http://api.openweathermap.org/data/2.5/weather" | |
| params = { | |
| 'q': location, | |
| 'appid': API_KEY, | |
| 'units': 'metric' # for Celsius, use 'imperial' for Fahrenheit | |
| } | |
| response = requests.get(base_url, params=params) | |
| data = response.json() | |
| if response.status_code == 200: | |
| weather = data['weather'][0]['description'] | |
| temp = data['main']['temp'] | |
| feels_like = data['main']['feels_like'] | |
| humidity = data['main']['humidity'] | |
| wind_speed = data['wind']['speed'] | |
| return (f"Weather in {location}: {weather}. " | |
| f"Temperature: {temp}°C (feels like {feels_like}°C), " | |
| f"Humidity: {humidity}%, Wind: {wind_speed} m/s") | |
| else: | |
| return f"Error getting weather: {data.get('message', 'Unknown error')}" | |
| except Exception as e: | |
| return f"Error fetching weather data: {str(e)}" | |
| def get_weather_forecast(location: str, days: int = 3) -> str: | |
| """Get weather forecast for a specified location for the next few days. | |
| Args: | |
| location: City name and optionally country code (e.g., 'London' or 'London,UK') | |
| days: Number of days for forecast (1-5, default 3) | |
| """ | |
| try: | |
| # Validate days input | |
| days = max(1, min(5, int(days))) | |
| API_KEY = "de1f560f2d4bea4e02dcdbe2e6f197a6" | |
| base_url = "http://api.openweathermap.org/data/2.5/forecast" | |
| params = { | |
| 'q': location, | |
| 'appid': API_KEY, | |
| 'units': 'metric', | |
| 'cnt': days * 8 # 8 forecasts per day (every 3 hours) | |
| } | |
| response = requests.get(base_url, params=params) | |
| data = response.json() | |
| if response.status_code == 200: | |
| forecast = [] | |
| current_date = "" | |
| for item in data['list']: | |
| date = item['dt_txt'].split()[0] | |
| if date != current_date: | |
| if current_date: | |
| forecast.append(day_forecast) | |
| current_date = date | |
| day_forecast = { | |
| 'date': date, | |
| 'temps': [], | |
| 'weathers': [] | |
| } | |
| day_forecast['temps'].append(item['main']['temp']) | |
| day_forecast['weathers'].append(item['weather'][0]['description']) | |
| # Add the last day | |
| if current_date: | |
| forecast.append(day_forecast) | |
| # Format the response | |
| result = [f"Weather forecast for {location}:"] | |
| for day in forecast[:days]: # Limit to requested days | |
| avg_temp = sum(day['temps']) / len(day['temps']) | |
| main_weather = max(set(day['weathers']), key=day['weathers'].count) | |
| result.append( | |
| f"{day['date']}: {main_weather}, average temp {avg_temp:.1f}°C " | |
| f"(min {min(day['temps']):.1f}°C, max {max(day['temps']):.1f}°C)" | |
| ) | |
| return "\n".join(result) | |
| else: | |
| return f"Error getting forecast: {data.get('message', 'Unknown error')}" | |
| except Exception as e: | |
| return f"Error fetching weather forecast: {str(e)}" | |
| 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='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, get_current_time_in_timezone, get_weather, get_weather_forecast], ## 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() |