import httpcore
setattr(httpcore, 'SyncHTTPTransport', 'AsyncHTTPProxy')

# Beta3.1.1: 加入了自訂義方塊,有分享功能,png

import gradio as gr
from googletrans import Translator
from huggingface_hub import InferenceClient
from PIL import Image
import time

# 定義模型名稱列表
models = [
    "Yntec/NostalgicLife",
    "Yntec/Genuine",
    "Yntec/Abased",
    "Yntec/CuteFurry",
    "Yntec/GOLDFish",
    "Yntec/Isabelia",
    "Yntec/incha_re_zoro",
    "Yntec/InsaneM3U",
    "digiplay/2K",
    "digiplay/2K-VAE",
    "digiplay/ya3_VAE",
    "digiplay/ya3p_VAE",
    "digiplay/pan04",
    "digiplay/AM-mix1",
    "digiplay/MRMD_0505",
]

# 初始化 Google 翻譯器
translator = Translator()

# 定義翻譯函數
def translate_to_english(prompt):
    try:
        translated_prompt = translator.translate(prompt, src='auto', dest='en').text
        return translated_prompt
    except Exception as e:
        return str(e)

# 修改 respond_with_timestamp 函數，使其返回三個圖片對象
def respond_with_timestamp(prompt, model_name, custom_model_name):
    if custom_model_name:  # 檢查是否提供了自訂模型名稱
        client = InferenceClient(model=custom_model_name)
    else:  # 如果沒有提供自訂模型名稱，就使用下拉選的模型
        client = InferenceClient(model=model_name)

    # 將提示詞翻譯成英文
    translated_prompt = translate_to_english(prompt)

    # 使用時間戳記加在提示語後面
    prompt_with_timestamps = [f"{translated_prompt} {time.time() + i}" for i in range(3)]

    # 生成三張圖片
    try:
        images = [client.text_to_image(text) for text in prompt_with_timestamps]
    except Exception as e:
        return [f"Error generating images: {str(e)}"] * 3  # 返回錯誤訊息而非圖片

    # 返回三個圖片對象
    return images

# 建立和啟動 Gradio 介面
demo = gr.Interface(
    fn=respond_with_timestamp,
    inputs=[
        gr.Textbox(label="請輸入提示語 Please input a prompt"),
        gr.Dropdown(label="選擇模型 Choose a model", choices=models),
        gr.Textbox(label="自訂模型名稱 Or type Any model you like")  # 讓自訂模型名稱變成選擇性
    ],
    outputs=[gr.Image(type="pil", format="PNG", label=f"img-{i+1}", show_share_button=True) for i in range(3)],  # 顯示三張圖片
    title="Text-to-Image with Auto Translation"
)

if __name__ == "__main__":
    demo.launch()