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from smolagents import CodeAgent, tool | |
import datetime | |
import pytz | |
import yaml | |
from tools.final_answer import FinalAnswerTool | |
from Gradio_UI import GradioUI | |
# Define a simple tool that doesn't rely on any external libraries | |
def text_analyzer(text: str) -> str: | |
"""Analyzes text and returns statistics about it. | |
Args: | |
text: The text to analyze. | |
""" | |
try: | |
# Simple word count | |
words = text.split() | |
word_count = len(words) | |
# Character count | |
char_count = len(text) | |
# Unique words | |
unique_words = len(set(word.lower() for word in words)) | |
# Average word length | |
avg_word_length = sum(len(word) for word in words) / max(1, word_count) | |
# Most common words (top 5) | |
word_freq = {} | |
for word in words: | |
word_lower = word.lower() | |
word_freq[word_lower] = word_freq.get(word_lower, 0) + 1 | |
common_words = sorted(word_freq.items(), key=lambda x: x[1], reverse=True)[:5] | |
common_words_str = ", ".join(f"{word} ({count})" for word, count in common_words) | |
return f"""Text Analysis Results: | |
- Word count: {word_count} | |
- Character count: {char_count} | |
- Unique words: {unique_words} | |
- Average word length: {avg_word_length:.2f} | |
- Most common words: {common_words_str} | |
""" | |
except Exception as e: | |
return f"Error analyzing text: {str(e)}" | |
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 agent with minimal tools | |
final_answer = FinalAnswerTool() | |
with open("prompts.yaml", 'r') as stream: | |
prompt_templates = yaml.safe_load(stream) | |
from smolagents import HfApiModel | |
model = HfApiModel( | |
max_tokens=2096, | |
temperature=0.5, | |
model_id='Qwen/Qwen2.5-Coder-32B-Instruct', | |
custom_role_conversions=None, | |
) | |
# Create agent with minimal tools | |
agent = CodeAgent( | |
model=model, | |
tools=[text_analyzer, get_current_time_in_timezone, final_answer], | |
max_steps=6, | |
verbosity_level=1, | |
grammar=None, | |
planning_interval=None, | |
name=None, | |
description=None, | |
prompt_templates=prompt_templates | |
) | |
# Launch the Gradio UI | |
GradioUI(agent).launch() |