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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 search_arxiv(query: str) -> str: | |
| """Searches arXiv for academic papers. | |
| Args: | |
| query (str): The topic or keywords to search for. | |
| Returns: | |
| str: A formatted list of found papers with titles, summaries, and links. | |
| """ | |
| max_results = 5 # Static value for maximum results | |
| url = f"http://export.arxiv.org/api/query?search_query={query}&max_results={max_results}" | |
| response = requests.get(url) | |
| if response.status_code == 200: | |
| papers = [] | |
| for entry in response.text.split("<entry>")[1:max_results+1]: | |
| title = entry.split("<title>")[1].split("</title>")[0].strip() | |
| summary = entry.split("<summary>")[1].split("</summary>")[0].strip() | |
| link = entry.split("<id>")[1].split("</id>")[0].strip() | |
| papers.append(f"Title: {title}\nSummary: {summary}\nLink: {link}\n") | |
| return "\n\n".join(papers) | |
| return "No papers found." | |
| def summarize_text(text: str) -> str: | |
| """Summarizes long academic papers or articles. | |
| Args: | |
| text: The text to summarize. | |
| """ | |
| model = HfApiModel( | |
| max_tokens=512, | |
| temperature=0.5, | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct', | |
| ) | |
| return model.generate(f"Summarize this research paper: {text}") | |
| 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', | |
| ) | |
| # 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, search_arxiv, summarize_text, image_generation_tool], # add your tools here (don't remove final answer) | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name="Research Assistant", | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() | |