Delete app.py

app.py

@@ -1,58 +0,0 @@
-import gradio as gr
-from tensorflow.keras.preprocessing.image import img_to_array, ImageDataGenerator
-from PIL import Image
-import numpy as np
-import io
-import zipfile
-
-def augment_images(images, num_duplicates):
-    # Initialize the image data generator for augmentation
-    datagen = ImageDataGenerator(
-        rotation_range=40,
-        width_shift_range=0.2,
-        height_shift_range=0.2,
-        zoom_range=0.2,
-        fill_mode='nearest')
-    
-    # Create a zip buffer in memory
-    zip_buffer = io.BytesIO()
-    
-    with zipfile.ZipFile(zip_buffer, 'a', zipfile.ZIP_DEFLATED, False) as zipf:
-        for i, img_file in enumerate(images):
-            # Open image and prepare for augmentation
-            img = Image.open(img_file).convert('RGB')
-            img = img.resize((256, 256))  # Resize for consistency
-            x = img_to_array(img)  # Convert to array
-            x = np.expand_dims(x, axis=0)  # Add batch dimension
-            
-            # Generate augmented images and add them to the zip
-            for j in range(num_duplicates):
-                aug_iter = datagen.flow(x, batch_size=1)
-                aug_image = next(aug_iter)[0].astype('uint8')
-                aug_image_pil = Image.fromarray(aug_image)
-                
-                # Save augmented image to zip
-                img_byte_arr = io.BytesIO()
-                aug_image_pil.save(img_byte_arr, format='PNG')
-                img_byte_arr = img_byte_arr.getvalue()
-                zipf.writestr(f"augmented_image_{i}_{j}.png", img_byte_arr)
-    
-    # Prepare the zip file for downloading
-    zip_buffer.seek(0)
-    
-    return zip_buffer
-
-# Define Gradio interface
-demo = gr.Interface(
-    fn=augment_images,
-    inputs=[
-        gr.Files(label="Upload Images", multiple=True),
-        gr.Slider(minimum=1, maximum=10, default=5, label="Number of Augmented Images per Original")
-    ],
-    outputs=gr.File(label="Download Augmented Images Zip"),
-    title="Image Augmentation App",
-    description="Upload images to generate augmented versions. Adjust the number of augmented images per original image using the slider."
-)
-
-if __name__ == "__main__":
-    demo.launch()