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from smolagents import CodeAgent, tool, OpenAIServerModel, FinalAnswerTool
import datetime
import pytz
import yfinance as yf
import os
from Gradio_UI import GradioUI
# Fetch the API key from the environment variable (if needed)
API_KEY = os.getenv("KEY")
@tool
def get_currency_rate(currency_pair: str) -> str:
"""Fetches the current exchange rate for a given currency pair (e.g., 'USD-EUR').
Args:
currency_pair: The currency pair to query, formatted as 'BASE-CURRENCY'.
"""
try:
base, target = currency_pair.split("-")
# Use yfinance to get the exchange rate
ticker = f"{base}{target}=X" # Format for yfinance (e.g., "USDEUR=X")
data = yf.Ticker(ticker)
rate = data.history(period="1d")["Close"].iloc[-1]
return f"Current {currency_pair} rate: {rate}"
except Exception as e:
return f"Error fetching rate: {str(e)}"
@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)}"
# Set up the model
model = OpenAIServerModel(
model_id="deepseek-chat",
api_base="https://api.deepseek.com",
api_key=API_KEY
)
# Load tools
final_answer = FinalAnswerTool()
currency_tool = get_currency_rate
time_tool = get_current_time_in_timezone
# Create the agent
agent = CodeAgent(
model=model,
tools=[currency_tool, time_tool, final_answer], # Include your tools here
max_steps=3,
verbosity_level=1
)
# Define example usage instructions
example_usage = """
### Example Usage
1. **Currency Rate**: Ask for the exchange rate of a currency pair.
- Example: "What is the current exchange rate for USD to JPY?"
- Example: "Get the EUR to GBP rate.
"""
# Extend the GradioUI class to include the example usage
class CustomGradioUI(GradioUI):
def __init__(self, agent, description: str = "", **kwargs):
super().__init__(agent, **kwargs)
self.description = description
def launch(self, **kwargs):
import gradio as gr
with gr.Blocks(fill_height=True) as demo:
# Add the description as a Markdown component
if self.description:
gr.Markdown(self.description)
# Add the existing chatbot and input components
stored_messages = gr.State([])
file_uploads_log = gr.State([])
chatbot = gr.Chatbot(
label="Agent",
type="messages",
avatar_images=(
None,
"https://huggingface.co/datasets/agents-course/course-images/resolve/main/en/communication/Alfred.png",
),
resizeable=True,
scale=1,
)
# If an upload folder is provided, enable the upload feature
if self.file_upload_folder is not None:
upload_file = gr.File(label="Upload a file")
upload_status = gr.Textbox(label="Upload Status", interactive=False, visible=False)
upload_file.change(
self.upload_file,
[upload_file, file_uploads_log],
[upload_status, file_uploads_log],
)
text_input = gr.Textbox(lines=1, label="Chat Message")
text_input.submit(
self.log_user_message,
[text_input, file_uploads_log],
[stored_messages, text_input],
).then(self.interact_with_agent, [stored_messages, chatbot], [chatbot])
demo.launch(debug=True, share=True, **kwargs)
# Launch the Gradio UI with the example usage
CustomGradioUI(agent, description=example_usage).launch() |