File size: 756 Bytes
5f87521
ef7e565
5f87521
2eaf831
5f87521
2eaf831
5f87521
 
 
2eaf831
 
 
 
51524a2
 
2eaf831
 
 
 
 
5f87521
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
# Let's re-evaluate the implementation using the guide for making predictions with the Gradio client
import gradio as gr
from gradio.client import Client

# Define the function to call the existing Gradio space API using the Gradio client
def enhance_image(input_image):
    client = Client("radames/Enhance-This-HiDiffusion-SDXL")
    result = client.predict(input_image, api_name="/predict")
    return result

# Create the Gradio interface
interface = gr.Interface(
    fn=enhance_image,
    inputs=gr.Image(type="pil", label="Input Image"),
    outputs=gr.Image(type="pil", label="Enhanced Image"),
    title="Enhance This HiDiffusion SDXL",
    description="Upload an image to enhance it using HiDiffusion SDXL."
)

# Launch the app
interface.launch()