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| from smolagents import CodeAgent, DuckDuckGoSearchTool, FinalAnswerTool, InferenceClientModel, load_tool, tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| # Initialize the Hugging Face web search model | |
| search_model = HfApiModel( | |
| "Intelligent-Internet/II-Search-4B", | |
| return_text=True, | |
| streaming=False # ensures the output is plain text | |
| ) | |
| def my_custom_tool(arg1:str, arg2:int)-> str: # it's important to specify the return type | |
| """ | |
| Fetches the top 5 sightseeing events in a city for a given season using Hugging Face II-Search. | |
| Args: | |
| city: Name of the city (e.g., "Paris"). | |
| season: Season or time of year (e.g., "summer"). | |
| Returns: | |
| A formatted string listing the top 5 sightseeing events. | |
| """ | |
| # Query the search model | |
| response_text = search_model(f"Top 5 sightseeing events in {city} during {season}") | |
| # Split by lines to extract individual events | |
| events = response_text.split("\n") | |
| # Format output as a readable string | |
| output = f"Top 5 sightseeing events in {city} during {season}:\n" | |
| for i, event in enumerate(events[:5], start=1): | |
| output += f"{i}. {event.strip()}\n" | |
| return output | |
| 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() | |
| model = InferenceClientModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct', | |
| custom_role_conversions=None, | |
| ) | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| # We're creating our CodeAgent | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer], # 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() | |