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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 ! | |
| # @tool | |
| # def my_custom_tool(arg1:str, arg2:int)-> 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 does nothing yet | |
| # Args: | |
| # arg1: the first argument | |
| # arg2: the second argument | |
| # """ | |
| # return "What magic will you build ?" | |
| def med_tool(role: str, symptoms: str) -> str: | |
| # It's important to specify the return type | |
| """A tool for symptom collection (nurse) and diagnosis (doctor). | |
| Args: | |
| role: The role of the healthcare provider ('nurse' or 'doctor') | |
| symptoms: The symptoms described by the patient | |
| Returns: | |
| A response based on the role provided. | |
| """ | |
| if role.lower() == "nurse": | |
| follow_up_questions = [ | |
| "How long have you had these symptoms?", | |
| "Do you have any allergies?", | |
| "Are you on any medication?", | |
| "Have you had any recent illnesses?", | |
| "Have you noticed any other unusual changes?" | |
| ] | |
| return (f"Nurse: I have recorded the symptoms: {symptoms}.\n" | |
| f"Here are some follow-up questions:\n- " + "\n- ".join(follow_up_questions)) | |
| elif role.lower() == "doctor": | |
| # Delegating diagnosis to an external tool (e.g., AI search, RAG) | |
| return (f"Doctor: Based on the symptoms: {symptoms}, I will now analyze the data.\n" | |
| f"Fetching diagnosis, medication, and treatment recommendations from the medical database...") | |
| else: | |
| return "Invalid role! Please specify either 'nurse' or 'doctor'." | |
| final_answer = FinalAnswerTool() | |
| search_tool = DuckDuckGoSearchTool() | |
| 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, med_tool], ## 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() |