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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 suggest_top_5_movies_by_mood(mood: str) -> list: | |
| """ | |
| Suggest the top 5 movies based on the user's mood using DuckDuckGoSearchTool. | |
| Args: | |
| mood: The user's current mood (e.g., "happy", "sad", "romantic", "bored"). | |
| Returns: | |
| list: A list of dictionaries, each containing 'title', 'description', and 'imdb_link'. | |
| """ | |
| query = f"top 10 movies to watch when feeling {mood} site:imdb.com" | |
| temp_agent = CodeAgent( | |
| tools=[DuckDuckGoSearchTool()], | |
| model=model | |
| ) | |
| search_results = temp_agent.run(query) | |
| # Use regex to extract IMDb links and nearby titles/descriptions | |
| import re | |
| pattern = r'https?://www\.imdb\.com/title/tt\d+[^ \n]*' | |
| imdb_links = re.findall(pattern, search_results) | |
| lines = [line.strip() for line in search_results.split('\n') if line.strip()] | |
| movies = [] | |
| for i, link in enumerate(imdb_links[:5]): | |
| # Try to find the line before or after the link as description | |
| context = "" | |
| for j, line in enumerate(lines): | |
| if link in line: | |
| # Look backward or forward for a potential title/description | |
| context = lines[j-1] if j > 0 else lines[j+1] | |
| break | |
| title_match = re.search(r'“([^”]+)”', context) or re.search(r'"([^"]+)"', context) | |
| title = title_match.group(1) if title_match else context[:60] | |
| movies.append({ | |
| "title": title.strip(), | |
| "description": context.strip(), | |
| "imdb_link": link | |
| }) | |
| return movies | |
| 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, | |
| ) | |
| # 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, get_current_time_in_timezone, suggest_top_5_movies_by_mood], ## 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() |