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| import asyncio | |
| import datetime | |
| import os | |
| import dotenv | |
| import python_weather | |
| import pytz | |
| import yaml | |
| from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool, HfApiModel, load_tool, tool | |
| from Gradio_UI import GradioUI | |
| from tools.final_answer import FinalAnswerTool | |
| dotenv.load_dotenv(override=True) | |
| def get_weather(location: str) -> str: | |
| """Tool for checking the full description of the weather for a specific location | |
| Args: | |
| location: name of the location for checking the weather, mandatory parameter | |
| Return: | |
| Description of the weather | |
| """ | |
| async def fetch_weather(): | |
| async with python_weather.Client(unit=python_weather.METRIC) as client: | |
| # fetch a weather forecast from a city | |
| weather = await client.get(location) | |
| if weather is None: | |
| return "Problem: unknown location or weather" | |
| output = [f"Current temperature for {location} is {weather.temperature}"] | |
| # get the weather forecast for a few days | |
| for daily in weather: | |
| desc = f"Weather for day {str(daily.date)}. Temperature high: {daily.highest_temperature}, low: {daily.lowest_temperature}. avg: {daily.temperature}." | |
| output.append(desc) | |
| return '\n'.join(output) | |
| return asyncio.run(fetch_weather()) | |
| 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 | |
| # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', | |
| 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_current_time_in_timezone, get_weather, DuckDuckGoSearchTool(), VisitWebpageTool()], | |
| ## 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() | |