petkar's picture
Update app.py
f70c374 verified
raw
history blame
2.46 kB
from smolagents import CodeAgent, DuckDuckGoSearchTool, FinalAnswerTool, InferenceClientModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
# Initialize the Hugging Face web search model
search_model = HfApiModel(
"Intelligent-Internet/II-Search-4B",
return_text=True,
streaming=False # ensures the output is plain text
)
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: # it's important to specify the return type
"""
Fetches the top 5 sightseeing events in a city for a given season using Hugging Face II-Search.
Args:
city: Name of the city (e.g., "Paris").
season: Season or time of year (e.g., "summer").
Returns:
A formatted string listing the top 5 sightseeing events.
"""
# Query the search model
response_text = search_model(f"Top 5 sightseeing events in {city} during {season}")
# Split by lines to extract individual events
events = response_text.split("\n")
# Format output as a readable string
output = f"Top 5 sightseeing events in {city} during {season}:\n"
for i, event in enumerate(events[:5], start=1):
output += f"{i}. {event.strip()}\n"
return output
@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)}"
final_answer = FinalAnswerTool()
model = InferenceClientModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
custom_role_conversions=None,
)
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
# We're creating our CodeAgent
agent = CodeAgent(
model=model,
tools=[final_answer], # 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()