Update app.py

app.py

@@ -3,7 +3,7 @@ from diffusers import StableDiffusionImg2ImgPipeline
 import torch
 from PIL import Image
 
-# Stable Diffusion img2img modelini yükleme
+
 model_id = "CompVis/stable-diffusion-v1-4"
 pipe = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
 pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
@@ -14,13 +14,20 @@ def stylize_image(input_image, prompt):
     output = pipe(prompt=prompt, image=input_image, strength=0.75).images[0]
     return output
 
-# Gradio arayüzünü oluşturma
+
 iface = gr.Interface(
     fn=stylize_image, 
-    inputs=[gr.Image(type="pil"), gr.Textbox(placeholder="Sanat tarzını girin...")],
-    outputs="image",
-    title="Sanat ve Stil Transferi Demo",
-    description="Bu demo, bir görüntüyü belirttiğiniz sanat tarzına dönüştürmek için Stable Diffusion modelini kullanır."
+    inputs=[
+        gr.Image(type="pil", label="Upload your image"),  # English label for image upload
+        gr.Textbox(placeholder="Enter the art style... (e.g., Van Gogh style)", label="Art Style", lines=1)  # English label and example prompt
+    ],
+    outputs=gr.Image(label="Stylized Image"),  # English label for output
+    title="Art and Style Transfer Demo",  # English title
+    description="This demo uses the Stable Diffusion model to transform an image into a specified art style. Upload an image and enter a style prompt to get started.",  
+    examples=[
+        ["example_image.jpg", "Van Gogh style"],  
+    ]
 )
 
-iface.launch()
+iface.launch(share=True)
+