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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 ! | |
def analyze_text(text: str) -> str: | |
"""A tool that analyzes text for sentiment and provides a simple analysis. | |
Args: | |
text: The text to analyze for sentiment | |
Returns: | |
A string containing the sentiment analysis result | |
""" | |
# Simple sentiment analysis based on positive and negative word lists | |
positive_words = {'good', 'great', 'awesome', 'excellent', 'happy', 'love', 'wonderful', 'fantastic'} | |
negative_words = {'bad', 'terrible', 'awful', 'horrible', 'sad', 'hate', 'disappointing', 'poor'} | |
words = text.lower().split() | |
positive_count = sum(1 for word in words if word in positive_words) | |
negative_count = sum(1 for word in words if word in negative_words) | |
if positive_count > negative_count: | |
sentiment = "positive" | |
elif negative_count > positive_count: | |
sentiment = "negative" | |
else: | |
sentiment = "neutral" | |
return f"Text Analysis Results:\nSentiment: {sentiment}\nPositive words: {positive_count}\nNegative words: {negative_count}" | |
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() | |
# 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=[final_answer,analyze_text,get_current_time_in_timezone], ## 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() |