from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import PyPDF2
import os
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI


@tool
def extract_text_from_pdf(file_path: str) -> str:
    """Reads a PDF file and extracts its text.
    Args:
        file_path: The path to the PDF file.
    """
    try:
        with open(file_path, "rb") as file:
            reader = PyPDF2.PdfReader(file)
            text = "\n".join([page.extract_text() for page in reader.pages if page.extract_text()])
        
        # Check if text was extracted
        if text:
            return f"Extracted text from the PDF: {text[:500]}"  # Show first 500 caracters
        else:
            return "No text found in the PDF."
    except Exception as e:
        return f"Error reading PDF: {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(
token= os.getenv('Token'),
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, extract_text_from_pdf], ## 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, file_upload_folder="data/").launch()