# app.py

# AI Agent Framework Imports
from smolagents import CodeAgent, HfApiModel, tool, load_tool

# Standard Library Imports (allowed)
import time
import yaml

# Final Answer and UI Handling
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

# --------------------------------------------
# Tool: detect_ambiguity
@tool
def detect_ambiguity(content: str) -> str:
    """Checks for vague instructions and suggests clarifications.
    
    Args:
        content: Text to analyze.
    """
    return "Ambiguity detected. Click 'Is this ambiguous?' for help."

# --------------------------------------------
# Tool: explain_assumed_knowledge
@tool
def explain_assumed_knowledge(term: str) -> str:
    """Defines technical terms in a simple way.
    
    Args:
        term: The term to explain.
    """
    return f"Definition of '{term}': [Detailed beginner-friendly explanation here]"

# --------------------------------------------
# Tool: highlight_elements (modified to a placeholder)
@tool
def highlight_elements(step: str, element: str, auto_execute: bool = False) -> str:
    """(Placeholder) Highlights a UI element and optionally performs an action.
    
    Args:
        step: The current step in the guide.
        element: The UI element to highlight (as an identifier).
        auto_execute: If True, the agent would auto-click the element.
    """
    return "Highlight functionality is currently not available."

# --------------------------------------------
# Tool: explain_code_line
@tool
def explain_code_line(line: str) -> str:
    """Explains what a line of code does in simple terms.
    
    Args:
        line: The code line to explain.
    """
    return f"Explanation for: {line} [Insert explanation here]"

# --------------------------------------------
# Tool: teacher_box_query
@tool
def teacher_box_query(question: str) -> str:
    """Allows users to ask the AI questions while browsing.
    
    Args:
        question: User's query.
    """
    return f"AI Answer: [Response for '{question}']"

# --------------------------------------------
# Tool: toggle_auto_execution
@tool
def toggle_auto_execution(enable: bool) -> str:
    """Lets the user turn automatic navigation on or off.
    
    Args:
        enable: True for auto-mode, False for manual steps.
    """
    return "Auto-execution enabled." if enable else "Manual step-by-step mode enabled."

# --------------------------------------------
# Configure the AI Model.
model = HfApiModel(
    max_tokens=2096,                       # Maximum response length.
    temperature=0.5,                       # Controls response randomness.
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',  # Selected model.
    custom_role_conversions=None
)

# Load prompt templates from a YAML configuration file.
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

#