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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
@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() |