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 @tool def shailendra_recipe(recipe: str) -> str: """ Randomly listing some Bihari recipe and extract the process to prepare it Args: recipe: A string with recipe name """ return """ Litte chocha is a unique bihari recipe Ingredents are Sattu, wheat flour and pickles """ # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def diagnose_disease(symptoms: str) -> str: """Fetches health articles based on symptoms and extracts possible diseases. Args: symptoms: A comma-separated list of symptoms (e.g., 'fever, headache, sore throat'). """ try: search_tool = DuckDuckGoSearchTool() query = f"Possible diseases for symptoms: {symptoms}" search_results = search_tool.forward(query) if not search_results: return "No relevant medical information found. Please consult a doctor." articles = search_results.split("\n\n")[:10] # Get top 10 articles possible_diseases = set() for article in articles: doc = nlp(article) for ent in doc.ents: if ent.label_ == "DISEASE": possible_diseases.add(ent.text) if not possible_diseases: return "No specific diseases could be identified. Consider seeking medical advice." return f"Based on your symptoms, possible conditions could be: {', '.join(possible_diseases)}." except Exception as e: return f"An error occurred: {e}" @tool 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"This is Shailendra-repo, 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, diagnose_disease, shailendra_recipe], ## 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()