luke9705's picture
Update app.py
31d692f verified
from smolagents import CodeAgent,GoogleSearchTool, HfApiModel,load_tool,tool,FinalAnswerTool
import datetime
import requests
import pytz
import yaml
import os
from Gradio_UI import GradioUI
# Tools
@tool
def to_uppercase(arg1:str)-> str: #it's import to specify the return type
"""A tool that converts a sentence to uppercase alternatively.
Args:
arg1: the sentence to be converted to uppercase
"""
i = 0
output = ""
for text in arg1:
if i % 2 == 0:
text = text.upper()
i += 1
output = output + text
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()
google_search = GoogleSearchTool()
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='meta-llama/Llama-3.2-3B-Instruct',
custom_role_conversions=None,
)
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools=[final_answer, google_search, image_generation_tool, get_current_time_in_timezone, to_uppercase], ## add your tools here (don't remove final answer)
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name="Alpi",
description=None,
prompt_templates=prompt_templates
)
"""with gr.Blocks() as demo:
chatbot = gr.Chatbot(label="Conversation")
message = gr.Textbox(label="Input", placeholder="Type your message here...")
def respond(user_message, history):
response = agent(user_message)
history.append((user_message, response))
return "", history
message.submit(respond, inputs=[message, chatbot], outputs=[message, chatbot])
demo.launch()"""
GradioUI(agent).launch()