Delete app.py

app.py

@@ -1,31 +0,0 @@
-import numpy as np
-import gradio as gr
-from PIL import Image
-import keras
-from huggingface_hub import from_pretrained_keras
-
-
-model = from_pretrained_keras("MeetMeAt92/Enhance_Low_Light_Image", compile=False)
-
-
-
-def infer(original_image):
- image = keras.utils.img_to_array(original_image)
- image = image.astype("float32") / 255.0
- image = np.expand_dims(image, axis=0)
- output = model.predict(image)
- output_image = output[0] * 255.0
- output_image = output_image.clip(0, 255)
- output_image = output_image.reshape(
- (np.shape(output_image)[0], np.shape(output_image)[1], 3)
- )
- output_image = np.uint32(output_image)
- 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 🌆🎆",
- inputs=[gr.inputs.Image(label="image", type="pil", shape=(960, 640))],
- outputs="image",
- cache_examples=True).launch(enable_queue=True)