Update app.py

app.py

@@ -23,7 +23,7 @@ title = "Compound Multi-branch Feature Fusion (Dehaze)"
 description = "Gradio demo for CMFNet. CMFNet achieves state-of-the-art performance on six tasks: image super-resolution (including classical, lightweight and real-world image super-resolution), image denoising (including grayscale and color image denoising) and JPEG compression artifact reduction. See the paper and project page for detailed results below. Here, we provide a demo for real-world image SR.To use it, simply upload your image, or click one of the examples to load them."
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2108.10257' target='_blank'>SwinIR: Image Restoration Using Swin Transformer</a> | <a href='https://github.com/JingyunLiang/SwinIR' target='_blank'>Github Repo</a></p>"
 
-examples = [['Rain.png']]
+examples = [['Haze.png']]
 gr.Interface(
     inference,
     [gr.inputs.Image(type="pil", label="Input")],