app.py

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!

@tool
def generate_keywords(topic: str, num_keywords: int = 5) -> str:
    """Generates relevant keywords based on the given topic
    Args:
        topic: The main topic or subject to generate keywords for
        num_keywords: Number of keywords to generate (default: 5)
    """
    # Basic word transformations and common patterns
    prefixes = ['best', 'top', 'how to', 'why', 'what is']
    suffixes = ['guide', 'tutorial', 'examples', 'tips', 'basics']
    related_terms = {
        'programming': ['coding', 'development', 'software', 'algorithms', 'debugging'],
        'business': ['marketing', 'strategy', 'management', 'startup', 'planning'],
        'technology': ['tech', 'innovation', 'digital', 'software', 'hardware'],
        'education': ['learning', 'teaching', 'study', 'course', 'training'],
        'health': ['wellness', 'fitness', 'nutrition', 'medical', 'healthcare']
    }
    
    # Clean and normalize the input topic
    topic = topic.lower().strip()
    
    keywords = set()
    
    # Add the original topic
    keywords.add(topic)
    
    # Add prefix + topic combinations
    for prefix in prefixes:
        keywords.add(f"{prefix} {topic}")
    
    # Add topic + suffix combinations
    for suffix in suffixes:
        keywords.add(f"{topic} {suffix}")
    
    # Add related terms if the topic matches any category
    for category, terms in related_terms.items():
        if topic in terms or category in topic:
            keywords.update(terms)
    
    # Select the most relevant keywords
    final_keywords = list(keywords)[:num_keywords]
    
    # Format the output
    return "\n".join([
        "Generated keywords:",
        "----------------",
        *[f"- {keyword}" for keyword in final_keywords]
    ])


@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()
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=model,
    tools=[final_answer, generate_keywords], # 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()