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Update app.py
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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
# 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
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@tool
def reflect_and_summarize(thought: str) -> str:
"""Condenses reasoning or intermediate thoughts into a concise summary.
Args:
thought: Intermediate reasoning or notes from the agent
"""
summary = thought.strip()
if len(summary) > 300:
summary = summary[:300] + "..."
return f"Key insight: {summary}"
@tool
def fetch_json(url: str) -> str:
"""Fetches JSON data from a public API endpoint.
Args:
url: A publicly accessible API endpoint returning JSON
"""
try:
response = requests.get(url, timeout=5)
response.raise_for_status()
return response.text[:2000] # prevent token explosion
except Exception as e:
return f"Failed to fetch data: {str(e)}"
@tool
def list_prompt_templates() -> str:
"""Lists available prompt templates loaded from prompts.yaml."""
try:
return yaml.dump(prompt_templates, sort_keys=False)
except Exception as e:
return f"Error reading prompts: {str(e)}"
@tool
def get_current_time(
timezone: str = "UTC",
fmt: str = "%Y-%m-%d %H:%M:%S"
) -> str:
"""Returns current time in a specified timezone.
Args:
timezone: Timezone name (default: UTC)
fmt: Datetime format string
"""
try:
tz = pytz.timezone(timezone)
return datetime.datetime.now(tz).strftime(fmt)
except Exception as e:
return f"Invalid timezone or format: {e}"
@tool
def validate_final_answer(answer: str) -> str:
"""Checks the final answer for clarity and completeness.
Args:
answer: The proposed final response generated by the agent
"""
issues = []
if len(answer) < 20:
issues.append("Answer too short")
if "I don't know" in answer:
issues.append("Uncertain response detected")
if not issues:
return "Answer looks good."
return "Potential issues: " + ", ".join(issues)
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 = [
reflect_and_summarize,
fetch_json,
get_current_time,
list_prompt_templates,
validate_final_answer,
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()