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Update app.py
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app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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#
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@tool
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def
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"""A tool that does nothing yet
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Args:
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arg2: the second argument
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"""
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""
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Args:
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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# Create timezone object
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tz = pytz.timezone(timezone)
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# Get current time in that timezone
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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agent = CodeAgent(
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model=model,
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tools=[
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name=
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description=
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prompt_templates=prompt_templates
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)
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GradioUI(agent).launch()
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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# Medical tool: Fetch research papers from PubMed
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@tool
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def get_pubmed_articles(query: str) -> str:
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"""Fetches the latest research papers from PubMed based on a query.
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Args:
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query: The medical or biological topic to search for.
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"""
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url = f"https://api.ncbi.nlm.nih.gov/lit/ctxp/v1/pubmed/?format=summary&term={query}"
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response = requests.get(url)
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if response.status_code == 200:
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return response.json() # Return article summary
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else:
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return "Failed to fetch articles."
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# Medical tool: Explain medical terminology
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@tool
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def explain_medical_term(term: str) -> str:
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"""Provides a simple explanation of a medical term.
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Args:
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term: The medical term to explain.
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"""
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explanations = {
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"hypertension": "Hypertension, or high blood pressure, is a condition where the force of blood against the artery walls is too high.",
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"diabetes": "Diabetes is a chronic disease where the body either doesn't produce enough insulin or can't use it effectively.",
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"anemia": "Anemia is a condition in which the blood lacks enough healthy red blood cells to carry oxygen.",
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}
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return explanations.get(term.lower(), "No definition found. Try a different term.")
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# Tool for fetching current time in a timezone
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""Fetches the current local time in a specified timezone.
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Args:
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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tz = pytz.timezone(timezone)
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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# Load the medical AI model (BioBERT for medical text processing)
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model = HfApiModel(
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max_tokens=2096,
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temperature=0.5,
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model_id='dmis-lab/biobert-v1.1', # BioBERT for medical NLP tasks
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custom_role_conversions=None,
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)
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# Load prompt templates
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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# Define the AI agent with medical expertise
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agent = CodeAgent(
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model=model,
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tools=[FinalAnswerTool(), get_pubmed_articles, explain_medical_term, get_current_time_in_timezone],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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planning_interval=None,
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name="Medical Bio Expert",
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description="An AI agent specialized in medical biology, capable of answering biomedical questions, retrieving PubMed articles, and explaining medical terms.",
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prompt_templates=prompt_templates
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)
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# Launch the Gradio UI for interaction
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GradioUI(agent, title="Medical Biology AI Expert", description="Ask me anything about medical biology!").launch()
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