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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 __init__(self): | |
| self.patient_data = {} | |
| def collect_symptoms(patient_id: str, symptoms: str) -> str: | |
| """ | |
| Nurse tool to collect symptoms and ask follow-up questions. | |
| Args: | |
| patient_id: Unique identifier for the patient. | |
| symptoms: Initial symptoms provided by the patient. | |
| Returns: | |
| Follow-up questions based on the symptoms. | |
| """ | |
| try: | |
| if not patient_id or not symptoms: | |
| raise ValueError("Patient ID and symptoms must be provided.") | |
| self.patient_data[patient_id] = {"symptoms": symptoms, "additional_info": {}} | |
| questions = [ | |
| "How long have you had these symptoms?", | |
| "Do you have any allergies?", | |
| "Are you taking any medications?", | |
| "Have you experienced these symptoms before?", | |
| "Have you had any recent illnesses?", | |
| "Have you noticed any other unusual changes?", | |
| "What is your medical history related to these symptoms?" | |
| ] | |
| return f"Nurse: I have noted the symptoms ({symptoms}). Here are follow-up questions:\n" + "\n".join(questions) | |
| except ValueError as e: | |
| return f"Error: {str(e)}" | |
| except Exception as e: | |
| return f"Unexpected Error: {str(e)}" | |
| def diagnose_patient(patient_id: str) -> str: | |
| """ | |
| Doctor tool to diagnose the patient based on symptoms. | |
| Args: | |
| patient_id: Unique identifier for the patient. | |
| Returns: | |
| Diagnosis and recommendations. | |
| """ | |
| try: | |
| if patient_id not in CodeAgent.patient_data: | |
| raise ValueError("No symptoms found. Nurse must collect symptoms first.") | |
| symptoms = CodeAgent.patient_data[patient_id]["symptoms"] | |
| diagnosis = CodeAgent.fetch_diagnosis(symptoms) | |
| medication = CodeAgent.fetch_medication(symptoms) | |
| advice = CodeAgent.fetch_treatment_advice(symptoms) | |
| return (f"Doctor: Based on the symptoms: {symptoms},\n" | |
| f"Diagnosis: {diagnosis}\n" | |
| f"Medication: {medication}\n" | |
| f"Advice: {advice}") | |
| except ValueError as e: | |
| return f"Error: {str(e)}" | |
| except Exception as e: | |
| return f"Unexpected Error: {str(e)}" | |
| def fetch_diagnosis(symptoms: str) -> str: | |
| """ | |
| AI tool to retrieve a diagnosis based on symptoms. | |
| Args: | |
| symptoms: The symptoms provided by the patient. | |
| Returns: | |
| Detailed Diagnosis information. | |
| """ | |
| search_query = f" A detailed medical diagnosis for this {symptoms}" | |
| return search_tool(search_query) | |
| try: | |
| if not symptoms: | |
| raise ValueError("Symptoms must be provided.") | |
| return f"AI Diagnosis: Potential cause of {symptoms} found." | |
| except ValueError as e: | |
| return f"Error: {str(e)}" | |
| except Exception as e: | |
| return f"Unexpected Error: {str(e)}" | |
| def fetch_medication(symptoms: str) -> str: | |
| """ | |
| AI tool to suggest medications based on symptoms. | |
| Args: | |
| symptoms: The symptoms provided by the patient. | |
| Returns: | |
| Suggested medication. | |
| """ | |
| search_query = f" A detailed suggested medication for this {symptoms}" | |
| return search_tool(search_query) | |
| try: | |
| if not symptoms: | |
| raise ValueError("Symptoms must be provided.") | |
| return f"Suggested medication for {symptoms} found." | |
| except ValueError as e: | |
| return f"Error: {str(e)}" | |
| except Exception as e: | |
| return f"Unexpected Error: {str(e)}" | |
| def fetch_treatment_advice(symptoms: str) -> str: | |
| """ | |
| AI tool to provide treatment recommendations. | |
| Args: | |
| symptoms: The symptoms provided by the patient. | |
| Returns: | |
| Recommended treatment and advice. | |
| """ | |
| search_query = f" A detailed recommended treatment and advice for this {symptoms}" | |
| return search_tool(search_query) | |
| try: | |
| if not symptoms: | |
| raise ValueError("Symptoms must be provided.") | |
| return f"Treatment advice for {symptoms} retrieved." | |
| except ValueError as e: | |
| return f"Error: {str(e)}" | |
| except Exception as e: | |
| return f"Unexpected Error: {str(e)}" | |
| 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='meta-llama/Llama-3.1-8B-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, collect_symptoms, diagnose_patient, get_current_time_in_timezone], ## add your tools here (don't remove final answer) | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name="MedicalDoctor", | |
| description="A tool that simulates the roles of a medical doctor and a nurse in gathering symptoms, diagnosing, and providing recommendations", | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() |