import gradio as gr
import numpy as np
import random
import spaces
import torch
import time
import requests
from diffusers import DiffusionPipeline, AutoencoderTiny
from custom_pipeline import FluxWithCFGPipeline

# Torch Optimizations
torch.backends.cuda.matmul.allow_tf32 = True
torch.backends.cudnn.benchmark = True

# Constants
MAX_SEED = np.iinfo(np.int32).max
DEFAULT_WIDTH = 1024
DEFAULT_HEIGHT = 576
ASPECT_RATIOS = {
    "16:9": (1024, 576),
    "1:1": (1024, 1024),
    "9:16": (576, 1024)
}
INFERENCE_STEPS = 8

# Device and Model Setup
dtype = torch.float16
device = "cuda" if torch.cuda.is_available() else "cpu"

print("⏳ Loading Flux pipeline...")
pipe = FluxWithCFGPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=dtype)
pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype)
pipe.to(device)
print("✅ Flux pipeline loaded.")

@spaces.GPU
def translate_albanian_to_english(text):
    """Translate Albanian to English using sepioo-facebook-translation API."""
    if not text.strip():
        return ""
    for attempt in range(2):
        try:
            response = requests.post(
                "https://hal1993-mdftranslation1234567890abcdef1234567890-fc073a6.hf.space/v1/translate",
                json={"from_language": "sq", "to_language": "en", "input_text": text},
                headers={"accept": "application/json", "Content-Type": "application/json"},
                timeout=5
            )
            response.raise_for_status()
            translated = response.json().get("translate", "")
            print(f"Translation response: {translated}")
            return translated
        except Exception as e:
            print(f"Translation error (attempt {attempt + 1}): {e}")
            if attempt == 1:
                return f"Përkthimi dështoi: {str(e)}"
    return f"Përkthimi dështoi"

@spaces.GPU
def generate_image_from_albanian(prompt_albanian: str, aspect_ratio: str = "1:1"):
    """Translate Albanian prompt to English and generate image."""
    if not prompt_albanian.strip():
        return None

    # Translate stealthily
    prompt_english = translate_albanian_to_english(prompt_albanian)
    if prompt_english.startswith("Përkthimi dështoi"):
        return None

    if pipe is None:
        return None

    width, height = ASPECT_RATIOS.get(aspect_ratio, (DEFAULT_WIDTH, DEFAULT_HEIGHT))

    prompt_final = prompt_english + ", ultra realistic, sharp, 8k resolution"

    print(f"🎯 Prompt for generation: {prompt_final}")

    try:
        seed = random.randint(0, MAX_SEED)
        generator = torch.Generator(device=device).manual_seed(seed)
        with torch.inference_mode():
            images = pipe(
                prompt=prompt_final,
                width=width,
                height=height,
                num_inference_steps=INFERENCE_STEPS,
                generator=generator,
                output_type="pil",
                return_dict=False
            )
        image = images[0][0]
        return image
    except Exception as e:
        if torch.cuda.is_available():
            torch.cuda.empty_cache()
        return None

# UI Layout
def create_demo():
    with gr.Blocks() as app:
        gr.HTML("""
        <style>
        body::before {
            content: "";
            display: block;
            height: 320px;
            background-color: var(--body-background-fill);
        }
        button[aria-label="Fullscreen"], button[aria-label="Fullscreen"]:hover {
            display: none !important;
            visibility: hidden !important;
            opacity: 0 !important;
            pointer-events: none !important;
        }
        button[aria-label="Share"], button[aria-label="Share"]:hover {
            display: none !important;
        }
        button[aria-label="Download"] {
            transform: scale(3);
            transform-origin: top right;
            margin: 0 !important;
            padding: 6px !important;
        }
        </style>
        """)

        gr.Markdown("")
        gr.Markdown("")

        with gr.Column():
            prompt_albanian = gr.Textbox(label="Përshkrimi", placeholder="Shkruani përshkrimin këtu", lines=3)
            aspect_ratio = gr.Radio(label="Raporti i fotos", choices=list(ASPECT_RATIOS.keys()), value="1:1")
            generate_btn = gr.Button("Gjenero")
        
        with gr.Row():
            output_image = gr.Image(label="Imazhi i Gjeneruar", interactive=False)

        generate_btn.click(
            fn=generate_image_from_albanian,
            inputs=[prompt_albanian, aspect_ratio],
            outputs=[output_image],
            show_progress="full"
        )

    return app

if __name__ == "__main__":
    print(f"Gradio version: {gr.__version__}")
    app = create_demo()
    app.launch()