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import datetime
import requests
import pytz
import yaml
from typing import List
from Gradio_UI import GradioUI
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool
summary_model = HfApiModel(
max_tokens=1024,
temperature=0.5,
model_id='mistralai/Mistral-7B-Instruct-v0.2',
custom_role_conversions=None,
)
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def summarize_text(texts: List[str])-> 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 writes a summary based on a list of texts provided.
Args:
texts: A list of input texts based on which a summary is to be generated
"""
texts = '\n\n'.join(texts)
messages = [
{
'role': 'user',
'content': f'Summarize the following text:\n{texts}'
}
]
response = summary_model(messages)
return response.content
@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()
code_model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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=code_model,
tools=[
DuckDuckGoSearchTool(),
VisitWebpageTool(),
summarize_text,
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() |