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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 CityTemperatureTool(city: str) -> str: | |
| """ | |
| Get the current temperature (°F) for a city using Open-Meteo. | |
| Args: | |
| city (str): Name of the city (e.g., "Columbus"). | |
| Returns: | |
| str: Current temperature in °F. | |
| """ | |
| if not city.strip(): | |
| return "Please provide a valid city name." | |
| # Geocode city to get coordinates | |
| geo = requests.get( | |
| "https://geocoding-api.open-meteo.com/v1/search", | |
| params={"name": city, "count": 1} | |
| ).json() | |
| results = geo.get("results") | |
| if not results: | |
| return f"Could not find '{city}'." | |
| lat, lon = results[0]["latitude"], results[0]["longitude"] | |
| # Get current temperature | |
| weather = requests.get( | |
| "https://api.open-meteo.com/v1/forecast", | |
| params={ | |
| "latitude": lat, | |
| "longitude": lon, | |
| "current": "temperature_2m", | |
| "temperature_unit": "fahrenheit" | |
| } | |
| ).json() | |
| temp = weather.get("current", {}).get("temperature_2m") | |
| return f"{temp}°F" if temp is not None else "Temperature data not available." | |
| def SearchWebTool(query:str)-> list: #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 searches the web for top 5 results with the titles | |
| Args: | |
| query: A string representing the search topic (e.g., Where is San Fransisco?) | |
| Returns: | |
| list: A list of dictionaries with 'title', 'url', and 'snippet' keys. | |
| """ | |
| results = DuckDuckGoSearchTool.run(query) | |
| #ensure consistent output format | |
| formatted_results = [] | |
| for r in results: | |
| formatted_Results.append({ | |
| "title": r.get("title", ""), | |
| "url": r.get("link", ""), | |
| "snippet":r.get("snippet", "") | |
| }) | |
| return formatted_results | |
| 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, CityTemperatureTool, SearchWebTool, get_current_time_in_timezone, 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() |