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| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| # Google Gemini | |
| #from litellm import LiteLLMModel, RateLimitError | |
| import datetime | |
| import requests | |
| import yaml | |
| import os | |
| import pytz # Had to give it permission in Code agent | |
| # Tools | |
| from tools.final_answer import FinalAnswerTool | |
| from tools.polite_guard import PoliteGuardTool | |
| from tools.web_search import DuckDuckGoSearchTool | |
| from Gradio_UI import GradioUI | |
| def get_the_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'). | |
| Returns: | |
| string: A sentence that provides the time using the 12-hour clock including AM/PM | |
| """ | |
| try: | |
| # Create timezone object | |
| tz = pytz.timezone(timezone) | |
| # Get current time in that timezone | |
| local_time = datetime.datetime.now(tz).strftime("%I:%M %p") # %I for 12-hour clock, %M for minutes, %p for AM/PM | |
| 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() | |
| #@tool | |
| polite_guard = PoliteGuardTool() | |
| web_search = DuckDuckGoSearchTool() | |
| # Switch to Gemini if this model gets overloaded | |
| my_id = 'Qwen/Qwen2.5-Coder-32B-Instruct' | |
| my_id="https://ntqicork29enjoy5.us-east4.gcp.endpoints.huggingface.cloud" | |
| model = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id= my_id, | |
| custom_role_conversions=None, | |
| ) | |
| ''' | |
| model = LiteLLMModel( | |
| model_id="gemini/gemini-2.0-flash-exp", | |
| max_tokens=2096, | |
| temperature=0.6, | |
| api_key=os.getenv("LITELLM_API_KEY") | |
| ) | |
| ''' | |
| # Import tool from Hub | |
| image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| # Load prompts.yaml | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| # Load contentprompts.yml | |
| with open("contentprompts.yml", 'r') as stream: | |
| content_prompts = yaml.safe_load(stream) | |
| combined_prompts = {**prompt_templates, **content_prompts} | |
| # web_search, visit_webpage | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer, polite_guard, web_search, get_the_current_time_in_timezone ], ## add your tools here (don't remove final answer) | |
| max_steps=6, | |
| verbosity_level=3, | |
| grammar=None, | |
| planning_interval=None, | |
| name="Content Agent", | |
| description="Evaluates whether text is polite or impolite. ", | |
| prompt_templates=combined_prompts, | |
| additional_authorized_imports=["pytz"] | |
| ) | |
| GradioUI(agent).launch() |