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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_and_generate_popular_image(category:str)-> str: #it's import to specify the return type | |
| #Keep this format for the description / args / args description but feel free to modify the tool | |
| """A tool that Searches for the most popular {category} using DuckDuckGoSearchTool, | |
| then generates an image of that item using image_generation_tool. | |
| Args: | |
| category: A string representing the category to search for (e.g., "animal", "car", "fruit"). | |
| Returns: | |
| Generated image of the most popular item in the given category. | |
| """ | |
| if not category: | |
| return "Please provide a category to search for." | |
| # Step 1: Search for the most popular item in the category | |
| search_tool = DuckDuckGoSearchTool() | |
| query = f"most popular {category} in the world" | |
| search_results = search_tool.run(query) | |
| if not search_results: | |
| return f"No search results found for the most popular {category}." | |
| # Step 2: Extract a relevant item name using regex | |
| match = re.search(r"\b[A-Z][a-z]+\b", search_results) # Extracts a capitalized word (name) | |
| if match: | |
| item_name = match.group(0) | |
| else: | |
| return f"Could not identify a popular {category} from the search results." | |
| # Step 3: Generate an image of the identified item | |
| # Import tool from Hub | |
| image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| image_prompt = f"A high-quality, realistic image of a {item_name}." | |
| return image_generation_tool(image_prompt) # Return the generated image | |
| 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 | |
| custom_role_conversions=None, | |
| ) | |
| 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,image_generation_tool,DuckDuckGoSearchTool()], ## 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() |