🐛 fix(interface): update image processing wih Augment & Predict Button

- added ability to perform image preprocessing using Augment & Predict Button【feat】
- update label to be more informative 【style】
```

app.py

@@ -240,7 +240,7 @@ def predict_image_with_html(img, confidence_threshold, augment_methods, rotate_d
     ela_img_1 = ELA(img_pil, scale=100, alpha=0.66)
     ela_img_2 = ELA(img_pil, scale=50, alpha=0.5)
     
-    forensics_images = [ela_img_1, ela_img_2, gradient_image, minmax_image]
+    forensics_images = [img_pil, ela_img_1, ela_img_2, gradient_image, minmax_image]
     
     html_content = generate_results_html(results)
     return img_pil, forensics_images, html_content
@@ -254,7 +254,7 @@ with gr.Blocks() as iface:
         with gr.Row():
             with gr.Column(scale=1):
                 image_input = gr.Image(label="Upload Image to Analyze", sources=['upload'], type='pil')
-                with gr.Accordion("Settings", open=False, elem_id="settings_accordion"):
+                with gr.Accordion("Settings (Optional)", open=False, elem_id="settings_accordion"):
                     augment_checkboxgroup = gr.CheckboxGroup(["rotate", "add_noise", "sharpen"], label="Augmentation Methods")
                     rotate_slider = gr.Slider(0, 45, value=2, step=1, label="Rotate Degrees", visible=False)
                     noise_slider = gr.Slider(0, 50, value=4, step=1, label="Noise Level", visible=False)
@@ -262,7 +262,8 @@ with gr.Blocks() as iface:
                     confidence_slider = gr.Slider(0.0, 1.0, value=0.75, step=0.05, label="Confidence Threshold")
                 inputs = [image_input, confidence_slider, augment_checkboxgroup, rotate_slider, noise_slider, sharpen_slider]
                 predict_button = gr.Button("Predict")
-                image_output = gr.Image(label="Processed Image", visible=True)
+                augment_button = gr.Button("Augment & Predict")
+                image_output = gr.Image(label="Processed Image", visible=False)
                 forensics_gallery = gr.Gallery(label="Post Processed Images", visible=True)
 
 
@@ -281,6 +282,11 @@ with gr.Blocks() as iface:
             inputs=inputs, 
             outputs=outputs
         )
+        augment_button.click(  # Connect Augment button to the function
+            fn=predict_image_with_html, 
+            inputs=[image_input, confidence_slider, gr.CheckboxGroup(["rotate", "add_noise", "sharpen"]), rotate_slider, noise_slider, sharpen_slider], 
+            outputs=outputs
+        )
         predict_button.click(
             fn=None, 
             js="() => {document.getElementById('project_accordion').open = false;}",  # Close the project accordion