from smolagents import DuckDuckGoSearchTool, VisitWebpageTool, FinalAnswerTool, ImageQATool, GoogleSearchTool from smolagents import Tool, tool import random from huggingface_hub import list_models from smolagents.memory import ActionStep from PIL import Image import requests from io import BytesIO # Initialize the DuckDuckGo search tool web_search = GoogleSearchTool() # web_search = DuckDuckGoSearchTool() # not working visit_webpage = VisitWebpageTool() final_answer = FinalAnswerTool() image_qa = ImageQATool() class WeatherInfoTool(Tool): name = "weather_info" description = "Fetches dummy weather information for a given location." inputs = { "location": { "type": "string", "description": "The location to get weather information for." } } output_type = "string" def forward(self, location: str): # Dummy weather data weather_conditions = [ {"condition": "Rainy", "temp_c": 15}, {"condition": "Clear", "temp_c": 25}, {"condition": "Windy", "temp_c": 20} ] # Randomly select a weather condition data = random.choice(weather_conditions) return f"Weather in {location}: {data['condition']}, {data['temp_c']}°C" class HubStatsTool(Tool): name = "hub_stats" description = "Fetches the most downloaded model from a specific author on the Hugging Face Hub." inputs = { "author": { "type": "string", "description": "The username of the model author/organization to find models from." } } output_type = "string" def forward(self, author: str): try: # List models from the specified author, sorted by downloads models = list(list_models(author=author, sort="downloads", direction=-1, limit=1)) if models: model = models[0] return f"The most downloaded model by {author} is {model.id} with {model.downloads:,} downloads." else: return f"No models found for author {author}." except Exception as e: return f"Error fetching models for {author}: {str(e)}" # @tool # def search_item_ctrl_f(text: str, nth_result: int = 1) -> str: # """ # Searches for text on the current page via Ctrl + F and jumps to the nth occurrence. # Args: # text: The text to search for # nth_result: Which occurrence to jump to (default: 1) # """ # elements = driver.find_elements(By.XPATH, f"//*[contains(text(), '{text}')]") # if nth_result > len(elements): # raise Exception(f"Match n°{nth_result} not found (only {len(elements)} matches found)") # result = f"Found {len(elements)} matches for '{text}'." # elem = elements[nth_result - 1] # driver.execute_script("arguments[0].scrollIntoView(true);", elem) # result += f"Focused on element {nth_result} of {len(elements)}" # return result # @tool # def go_back() -> None: # """Goes back to previous page.""" # driver.back() # @tool # def close_popups() -> str: # """ # Closes any visible modal or pop-up on the page. Use this to dismiss pop-up windows! This does not work on cookie consent banners. # """ # webdriver.ActionChains(driver).send_keys(Keys.ESCAPE).perform() # def save_screenshot(step_log: ActionStep, agent: CodeAgent) -> None: # sleep(1.0) # Let JavaScript animations happen before taking the screenshot # driver = helium.get_driver() # current_step = step_log.step_number # if driver is not None: # for step_logs in agent.logs: # Remove previous screenshots from logs for lean processing # if isinstance(step_log, ActionStep) and step_log.step_number <= current_step - 2: # step_logs.observations_images = None # png_bytes = driver.get_screenshot_as_png() # image = Image.open(BytesIO(png_bytes)) # print(f"Captured a browser screenshot: {image.size} pixels") # step_log.observations_images = [image.copy()] # Create a copy to ensure it persists, important! # # Update observations with current URL # url_info = f"Current url: {driver.current_url}" # step_log.observations = url_info if step_logs.observations is None else step_log.observations + "\n" + url_info # return