Spaces:
Running
Running
| from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool, Tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| from tools.final_answer import FinalAnswerTool | |
| from Gradio_UI import GradioUI | |
| class HFModelDownloadsTool(Tool): | |
| name = "model_download_counter" | |
| description = """ | |
| This is a tool that returns the most downloaded model of a given task on the Hugging Face Hub. | |
| It returns the name of the checkpoint.""" | |
| inputs = { | |
| "task": { | |
| "type": "string", | |
| "description": "the task category (such as text-classification, depth-estimation, etc)", | |
| } | |
| } | |
| output_type = "string" | |
| def forward(self, task: str): | |
| from huggingface_hub import list_models | |
| model = next(iter(list_models(filter=task, sort="downloads", direction=-1))) | |
| return model.id | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def calculator_multiply(num1:int, num2:int)-> int: | |
| """A tool that multiplies the two provided numbers. | |
| Args: | |
| num1: the first argument | |
| num2: the second argument | |
| """ | |
| return num1 * num2 | |
| 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 = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct', | |
| custom_role_conversions=None, | |
| ) | |
| # Import tool from Hub | |
| image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| web_search_tool = DuckDuckGoSearchTool() | |
| model_downloads_tool = HFModelDownloadsTool() | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[final_answer, image_generation_tool, web_search_tool, model_downloads_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 | |
| ) | |
| GradioUI(agent).launch() |