Create app.py

app.py

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+import httpcore
+setattr(httpcore, 'SyncHTTPTransport', 'AsyncHTTPProxy')
+
+#Beta3: 加入了一些常用的模型，以及將分享按鈕先關閉
+
+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
+# Define model names list
+
+models =[
+    "Yntec/NostalgicLife",
+    "Yntec/Genuine",
+    "Yntec/Abased",
+    "Yntec/CuteFurry",
+    "Yntec/incha_re_zoro",
+    "Yntec/InsaneM3U",
+    "digiplay/2K-VAE",
+    "digiplay/ya3_VAE",
+    "digiplay/ya3p_VAE",
+    "digiplay/pan04",
+    "digiplay/AM-mix1",
+    "digiplay/MRMD_0505",
+]
+
+# 初始化 Google 翻譯器
+# Initialize Google translator
+
+translator = Translator()
+
+# 定義翻譯函數
+# Define translation function
+
+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
+# Modify the respond_with_timestamp function to return three image objects
+
+def respond_with_timestamp(prompt, model_name):
+    client = InferenceClient(model=model_name)
+
+    # 將提示詞翻譯成英文 Translate prompt to English
+    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 Generate 3 images
+    images = [client.text_to_image(text) for text in prompt_with_timestamps]
+
+    # 直接返回這三個圖片對象
+    # Return image objects directly
+    
+    return images
+
+# 建立和啟動 Gradio 介面
+# Build and launch Gradio interface
+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)
+    ],
+    outputs=[gr.Image(type="pil", label=f"img-{i+1}", show_share_button = False) for i in range(3)],  # 顯示三張圖片 Display three images
+    title="Text-to-Image with Google Translation"
+)
+
+if __name__ == "__main__":
+    demo.launch()