app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import os
import numpy as np
import cv2
import gradio as gr
from tools.final_answer import FinalAnswerTool
from PIL import Image
from Gradio_UI import GradioUI

# OpenCV Haarcascade face model
HAAR_CASCADE_PATH = cv2.data.haarcascades + 'haarcascade_frontalface_default.xml'

# Supported mime types
ALLOWED_MIME_TYPES = ("image/jpeg", "image/png")

# Face detection parameters
FACE_DETECTION_SCALE_FACTOR = 1.1
FACE_DETECTION_MIN_NEIGHBORS = 5
MIN_FACE_SIZE = (80, 80)  # Min Face Size (width, height)

@tool
def check_passport_photo(image: Image.Image) -> bool:
    """
    Check if the given image is a valid passport photo.

    Args:
        image: The image file uploaded through Gradio UI.

    Returns:
        bool: True if the image is a valid passport photo, False otherwise.
    """
    if image is None:
        raise ValueError("No image uploaded.")

    # Convert PIL image to NumPy array
    image = np.array(image)  # PIL -> NumPy
    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)  # Convert RGB to BGR (OpenCV uses BGR)
    
    if image is None:
        raise ValueError("Invalid or corrupted image file.")

     # Convert to grayscale
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    # Load face detector
    face_detector = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
    
    # Detect faces
    detected_faces = face_detector.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(80, 80))
    
    return len(detected_faces) == 1

@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:
        tz = pytz.timezone(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,
)

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, check_passport_photo],  # check_passport_photo fonksiyonunu ekledik
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

def gradio_check_passport_photo(image):
    return check_passport_photo(image)

iface = gr.Interface(fn=gradio_check_passport_photo, inputs="image", outputs="text")
iface.launch()