ThEmpiEric's picture
Update app.py
d9437e0 verified
raw
history blame
3.88 kB
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from huggingface_hub import login
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, but now can print your name
Args:
arg1: name
arg2: age
"""
return "Hello sir now you're age"
@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_last_match(team: str) -> str:
"""
Get the last 5 matches of a team introduced.
Args:
team: string representing a football team name
"""
search_query = f"{team} last 5 matches"
search_results = DuckDuckGoSearchTool().run(search_query)
matches = []
# Iterate through search results to find matches
for result in search_results:
snippet = result.get('snippet', '').lower()
# Check if snippet contains match-related keywords
if ' vs ' in snippet or 'match' in snippet or 'result' in snippet:
# Split snippet into lines to parse each match
lines = result['snippet'].split('\n')
for line in lines:
# Look for lines indicating a match (e.g., containing 'vs' or dates)
if ' vs ' in line or (' vs. ' in line) or (' - ' in line and ('win' in line or 'draw' in line or 'loss' in line)):
match_info = line.strip()
matches.append(match_info)
if len(matches) >= 5:
break
if len(matches) >= 5:
break
if not matches:
return f"No recent matches found for the team."
# Format the last 5 matches
formatted_matches = "\n".join(matches[:5])
return formatted_matches
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_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
model_name = 'deepseek-ai/DeepSeek-R1'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
model_id= model_id, #'stabilityai/stable-diffusion-xl-base-1.0',# 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, get_last_match, 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()