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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 get_weather(city: str) -> str: | |
| """A tool that retrieves the current weather for a city using DuckDuckGoSearchTool | |
| Args: | |
| city: the name of the city | |
| Returns: | |
| str: Weather information for the specified city, or error message | |
| """ | |
| try: | |
| # Create instance first, then call setup on the instance | |
| web_search_tool = DuckDuckGoSearchTool(max_results=3) | |
| web_search_tool.setup() # Call setup on instance, not class | |
| # Search for weather information | |
| search_query = f"current weather {city} temperature forecast" | |
| results = web_search_tool(search_query) | |
| # Debug: Print raw results to understand the structure | |
| print(f"Raw results type: {type(results)}") | |
| print(f"Raw results: {results}") | |
| # Process results based on different possible return types | |
| if results: | |
| weather_info = [] | |
| # Handle different result formats | |
| if isinstance(results, list): | |
| for i, result in enumerate(results[:3]): # Use top 3 results | |
| print(f"Result {i}: {type(result)} - {result}") | |
| if isinstance(result, dict): | |
| # Handle dictionary results | |
| text = result.get('snippet', result.get('body', result.get('content', ''))) | |
| title = result.get('title', '') | |
| url = result.get('url', '') | |
| # Combine title and text for better context | |
| combined = f"{title} {text}".strip() | |
| elif isinstance(result, str): | |
| # Handle string results | |
| combined = result | |
| else: | |
| # Handle object results with attributes | |
| combined = "" | |
| for attr in ['snippet', 'body', 'content', 'text', 'description']: | |
| if hasattr(result, attr): | |
| value = getattr(result, attr) | |
| if value: | |
| combined += f"{value} " | |
| # Also try title | |
| if hasattr(result, 'title'): | |
| title = getattr(result, 'title') | |
| if title: | |
| combined = f"{title} {combined}" | |
| # Filter for weather-related content | |
| if combined and any(keyword in combined.lower() for keyword in | |
| ['temperature', 'weather', '°f', '°c', 'degrees', 'sunny', | |
| 'cloudy', 'rain', 'forecast', 'humidity', 'wind']): | |
| weather_info.append(combined[:200]) # Limit length | |
| elif isinstance(results, str): | |
| # Handle single string result | |
| weather_info = [results[:300]] | |
| else: | |
| # Handle other result types | |
| weather_info = [str(results)[:300]] | |
| # Format final response | |
| if weather_info: | |
| return f"Weather in {city}: {' | '.join(weather_info)}" | |
| else: | |
| return f"Found search results for {city} but no clear weather information. Raw results: {str(results)[:200]}" | |
| else: | |
| return f"No search results found for weather in {city}" | |
| except ImportError as e: | |
| return f"Error: DuckDuckGoSearchTool not available. Import error: {str(e)}" | |
| except AttributeError as e: | |
| return f"Error: Problem with DuckDuckGoSearchTool setup or usage: {str(e)}" | |
| except TypeError as e: | |
| return f"Error: Incorrect parameters for DuckDuckGoSearchTool: {str(e)}" | |
| except Exception as e: | |
| return f"Error fetching weather information for city '{city}': {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_weather, get_current_time_in_timezone], ## 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() |