app.py

import gradio as gr
from gradio_client import Client
import os
import random
from io import BytesIO
from PIL import Image
import base64

KEYS = os.getenv("KEYS").split(",")

def get_random_api_key():
    return random.choice(KEYS)

def swap_face_api(source_img, target_img, doFaceEnhancer):
    try:
        api_key = get_random_api_key()
        client = Client("tuan2308/face-swap")

        # Кодируем PIL изображения в base64, используя gr.processing_utils
        source_b64 = gr.encode_pil_to_base64(source_img)
        target_b64 = gr.encode_pil_to_base64(target_img)

        result = client.predict(
            source_file=source_b64,
            target_file=target_b64,
            doFaceEnhancer=doFaceEnhancer,
            api_name="/predict",
            api_key=api_key #  Передаем api_key в predict
        )
        print(result)

        # Декодируем результат из base64 в PIL Image
        result_decoded = base64.b64decode(result) # Декодируем результат
        output_image = Image.open(BytesIO(result_decoded))
        return output_image

    except Exception as e:
        print(f"Ошибка при вызове API: {e}")
        return None

    except Exception as e:
        print(f"Ошибка при вызове API: {e}")
        return None


iface = gr.Interface(
    fn=swap_face_api,
    inputs=[
        gr.Image(type="pil", label="Source Image"),
        gr.Image(type="pil", label="Target Image"),
        gr.Checkbox(label="Face Enhancer?")
    ],
    outputs=gr.Image(type="pil", label="Output Image"),
    title="Face Swap via API"
)

iface.launch()