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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 | |
| def sum_tool(num1: int, num2: int) -> int: | |
| """ A tool that adds up the two integers | |
| Args: | |
| num1: The first integer to add | |
| num2: The second integer to add | |
| Returns: | |
| int: A integer contains the sum of the two integers. | |
| Raises: | |
| TypeError: If either num1 or num2 is not an integer. | |
| """ | |
| if not isinstance(num1, int) or not isinstance(num2, int): | |
| raise TypeError("Both inputs must be integers") | |
| try: | |
| res = num1 + num2 | |
| return f"The sum of two integers is: {res}" | |
| except Exception as e: | |
| return f"An error occurred: {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 rent 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 = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='deepseek-ai/deepseek-coder-1.3b-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) | |
| search_tool = DuckDuckGoSearchTool() | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer, search_tool, sum_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 | |
| ) | |
| if agent.model.last_input_token_count is not None: | |
| total_input_tokens += agent.model.last_input_token_count | |
| else: | |
| # Handle the case where last_input_token_count is None | |
| # For example, you can set total_input_tokens to a default value | |
| total_input_tokens = 0 | |
| GradioUI(agent).launch() |