Update app.py

app.py

@@ -7,7 +7,7 @@ from huggingface_hub import from_pretrained_keras
 
 
 model = from_pretrained_keras("Harveenchadha/low-light-image-enhancement", compile=False)
-#examples = ['examples/179.png', 'examples/493.png', 'examples/780.png']
+examples = ['got2.png', 'got1.jpg', 'got_final.png']
 
 def get_enhanced_image(data, output):
     r1 = output[:, :, :, :3]
@@ -37,17 +37,15 @@ def infer(original_image):
     output = get_enhanced_image(image, output)
     output_image = tf.cast((output[0, :, :, :] * 255), dtype=np.uint8)    
     output_image = Image.fromarray(output_image.numpy())
-    # output_image = output_image.numpy()
-    # print(output_image.shape())
     return output_image
     
 
 iface = gr.Interface(
     fn=infer,
-    title="Low Light Image Enhancement",
-    description = "Keras Implementation of MIRNet model for light up the dark image 🌆🎆",
+    title="Zero-DCE for low-light image enhancement",
+    description = "Implementing Zero-Reference Deep Curve Estimation for low-light image enhancement.",
     inputs=[gr.inputs.Image(label="image", type="pil")],
     outputs=[gr.outputs.Image(label="image", type="numpy")],
-    #examples=examples,
-    article = "Author: <a href=\"https://huggingface.co/vumichien\">Vu Minh Chien</a>. Based on the keras example from <a href=\"https://keras.io/examples/vision/mirnet/\">Soumik Rakshit</a>",
+    examples=examples,
+    article = "**Original Author**: [Soumik Rakshit](https://github.com/soumik12345) <br>**HF Contribution**: [Harveen Singh Chadha](https://github.com/harveenchadha)<br>",
     ).launch(debug=True)