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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 | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def summary_of_paper(query: str, max_results: int = 1) -> str: | |
| """A tool that searches for a paper on arXiv and summarizes it using a language model. | |
| Args: | |
| query: The search query for the paper. | |
| max_results: The maximum number of search results to return. | |
| """ | |
| try: | |
| # Search for the paper on arXiv | |
| search_url = f"http://export.arxiv.org/api/query?search_query={query}&max_results={max_results}" | |
| response = requests.get(search_url) | |
| if response.status_code != 200: | |
| return f"Error fetching paper from arXiv: {response.status_code}" | |
| # Parse the response | |
| papers = response.text | |
| # For simplicity, let's assume we extract the first paper's summary | |
| # In a real implementation, you would parse the XML response properly | |
| start_idx = papers.find('<summary>') + len('<summary>') | |
| end_idx = papers.find('</summary>', start_idx) | |
| paper_summary = papers[start_idx:end_idx].strip() | |
| # Summarize the paper using a language model | |
| summary_prompt = f"Summarize the following paper: {paper_summary}" | |
| summary_response = model.generate(summary_prompt) | |
| return f"the summary of the paper is: {summary_response}" | |
| except Exception as e: | |
| return f"Error summarizing paper: {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 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',# 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) | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[summary_of_paper, 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() |