Demo_chat_bot / app.py
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
from datetime
from dateutil import parser # for flexible date parsing
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 !
def parse_date(date_str: str) -> str:
try:
return parser.parse(date_str).strftime("%Y-%m-%d")
except:
return datetime.now().strftime("%Y-%m-%d")
@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 ?"
@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"The current local time in {timezone} is: {local_time}"
except Exception as e:
return f"Error fetching time for timezone '{timezone}': {str(e)}"
@tool
def get_horoscope(sign: str, date: str = None) -> str:
"""Fetches the horoscope for a given zodiac sign and date.
If the user does not provide a date, use today's real date.
Args:
sign: Zodiac sign (e.g., Aries, Taurus, Gemini)
date: Date in any format (optional)
"""
date = parse_date(date)
# Placeholder logic
if not date:
date = datetime.now().strftime("%Y-%m-%d")
return f"Horoscope for {sign} on {date}: [Sample prediction here]"
@tool
def get_date_panchang(date: str = None) -> str:
"""Fetches the Panchang data for a given date.
If the user does not provide a date, use today's real date.
Args:
date: Date in any format (optional)
"""
if not date:
date = datetime.now().strftime("%Y-%m-%d")
return f"Panchang data for {date}: [Sample Panchang info]"
@tool
def get_holidays(year: int = None, date: str = None) -> str:
"""Fetches government and popular holidays for a given date or year.
Does not include Panchang events like Ekadashi.
Args:
year: Year (e.g., 2025). Optional — defaults to current year.
date: Date in any format (optional)
"""
if not date and not year:
year = datetime.now().year
return f"Holidays for {date or year}: [Sample list of holidays]"
@tool
def get_panchang_field(field: str, date: str = None) -> str:
"""Fetches specific Panchang field like Tithi, Nakshatra, Yoga, etc.
Args:
field: The Panchang field to fetch (e.g., Tithi, Nakshatra)
date: Date in any format (optional — defaults to today)
"""
if not date:
date = datetime.now().strftime("%Y-%m-%d")
return f"{field} on {date}: [Sample value]"
# Optional tool if needed in the future:
@tool
def get_festivals_today(date: str = None) -> str:
"""Fetches the festivals for a given date.
Args:
date: Date in any format (e.g., '2025-04-08'). Optional — defaults to today.
"""
if not date:
date = datetime.now().strftime("%Y-%m-%d")
return f"Festivals on {date}: [Sample festival list]"
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='sarvamai/sarvam-m',# it is possible that this model may be overloaded
)
# 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,
get_horoscope,
get_date_panchang,
get_holidays,
get_panchang_field,
get_festivals_today,
get_current_time_in_timezone,
my_custom_tool,
image_generation_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()