Use native gr.ImageSlider from Gradio 5.x

Gradio 5.x has native ImageSlider - no need for third-party component.
- Removed gradio_imageslider dependency
- Using built-in gr.ImageSlider
- Added server_name="0.0.0.0" for HF Spaces compatibility
- Keep Python 3.11 to avoid audioop removal in 3.13

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

README.md

@@ -4,7 +4,7 @@ emoji: 🔬
 colorFrom: blue
 colorTo: purple
 sdk: gradio
-sdk_version: 4.44.0
+sdk_version: 5.8.0
 python_version: "3.11"
 app_file: app.py
 pinned: false

app.py

@@ -16,7 +16,6 @@ from pathlib import Path
 from typing import Tuple, Optional
 
 import gradio as gr
-from gradio_imageslider import ImageSlider
 import matplotlib.pyplot as plt
 import numpy as np
 import torch
@@ -523,7 +522,7 @@ def create_app() -> gr.Blocks:
             # Right column: outputs
             with gr.Column(scale=2):
                 # Image comparison slider
-                image_slider = ImageSlider(
+                image_slider = gr.ImageSlider(
                     label="Original (left) vs Upsampled (right)",
                     type="numpy",
                 )
@@ -555,4 +554,4 @@ def create_app() -> gr.Blocks:
 
 if __name__ == "__main__":
     app = create_app()
-    app.launch()
+    app.launch(server_name="0.0.0.0", server_port=7860)

pyproject.toml

@@ -8,9 +8,7 @@ license = "Apache-2.0"
 dependencies = [
     "torch>=2.0",
     "numpy>=1.21",
-    "gradio==4.44.0",
-    "gradio_imageslider==0.0.18",
-    "huggingface_hub<0.24",
+    "gradio>=5.0.0",
     "pillow>=9.0",
     "scipy>=1.9",
     "timm>=0.9",

requirements.txt

@@ -1,8 +1,6 @@
 torch>=2.0
 numpy>=1.21
-gradio==4.44.0
-gradio_imageslider==0.0.18
-huggingface_hub<0.24
+gradio>=5.0.0
 pillow>=9.0
 scipy>=1.9
 timm>=0.9