Update app.py

app.py

@@ -1,78 +1,68 @@
 import gradio as gr
-from PIL import Image, ImageOps, ImageEnhance, ImageFilter, ImageDraw
+import torch
+from torchvision import models, transforms
+from PIL import Image, ImageEnhance
 import numpy as np
+import cv2
 
-def edit_image(image, grayscale, flip, rotate, brightness, contrast, color, crop, resize, blur, sharpness, draw_text, text_position, text_color, text_size):
-    img = Image.open(image)
-    
-    if grayscale:
-        img = ImageOps.grayscale(img)
-    if flip:
-        img = ImageOps.flip(img)
-    if rotate:
-        img = img.rotate(rotate)
-    
-    # Apply brightness
-    enhancer = ImageEnhance.Brightness(img)
-    img = enhancer.enhance(brightness)
-    
-    # Apply contrast
-    enhancer = ImageEnhance.Contrast(img)
-    img = enhancer.enhance(contrast)
-    
-    # Apply color
-    enhancer = ImageEnhance.Color(img)
-    img = enhancer.enhance(color)
-    
-    # Apply crop
-    if crop:
-        img = img.crop(crop)
-    
-    # Apply resize
-    if resize:
-        img = img.resize(resize)
-    
-    # Apply blur
-    if blur > 0:
-        img = img.filter(ImageFilter.GaussianBlur(blur))
+model = models.detection.fasterrcnn_resnet50_fpn(pretrained=True)
+model.eval()
+
+transform = transforms.Compose([
+    transforms.ToTensor()
+])
+
+def detect_dress(image):
+    image_tensor = transform(image).unsqueeze(0)
+    with torch.no_grad():
+        outputs = model(image_tensor)
     
-    # Apply sharpness
-    enhancer = ImageEnhance.Sharpness(img)
-    img = enhancer.enhance(sharpness)
+    boxes = outputs[0]['boxes'].numpy()
+    scores = outputs[0]['scores'].numpy()
+    threshold = 0.8
+    dress_boxes = [box for box, score in zip(boxes, scores) if score > threshold]
+
+    draw = ImageDraw.Draw(image)
+    for box in dress_boxes:
+        draw.rectangle(box.tolist(), outline="red", width=3)
     
-    # Draw text
-    if draw_text:
-        draw = ImageDraw.Draw(img)
-        draw.text(text_position, draw_text, fill=text_color, font=None, anchor=None, spacing=4, align="left")
+    return image, dress_boxes
+
+def crop_image(image, box):
+    return image.crop(box)
+
+def adjust_color(image, factor):
+    enhancer = ImageEnhance.Color(image)
+    return enhancer.enhance(factor)
+
+def process_image(image, edit_type, factor):
+    detected_image, boxes = detect_dress(image)
     
-    return img
+    if not boxes:
+        return detected_image, "No dresses detected."
+
+    if edit_type == "Crop":
+        box = boxes[0]
+        edited_image = crop_image(image, box)
+    elif edit_type == "Adjust Color":
+        edited_image = adjust_color(image, factor)
+    else:
+        edited_image = image
 
-def get_crop_coordinates(crop_start, crop_end):
-    return (crop_start[0], crop_start[1], crop_end[0], crop_end[1])
+    return edited_image, "Edit applied."
 
-interface = gr.Interface(
-    fn=edit_image,
+iface = gr.Interface(
+    fn=process_image,
     inputs=[
-        gr.Image(type="filepath", label="Upload Image"),
-        gr.Checkbox(label="Grayscale"),
-        gr.Checkbox(label="Flip Vertically"),
-        gr.Slider(minimum=0, maximum=360, step=1, value=0, label="Rotate Angle"),
-        gr.Slider(minimum=0.1, maximum=2, step=0.1, value=1, label="Brightness"),
-        gr.Slider(minimum=0.1, maximum=2, step=0.1, value=1, label="Contrast"),
-        gr.Slider(minimum=0.1, maximum=2, step=0.1, value=1, label="Color"),
-        gr.Textbox(label="Crop (left, upper, right, lower)", placeholder="e.g., 100,100,400,400"),
-        gr.Textbox(label="Resize (width, height)", placeholder="e.g., 800,600"),
-        gr.Slider(minimum=0, maximum=10, step=0.1, value=0, label="Blur"),
-        gr.Slider(minimum=0.1, maximum=2, step=0.1, value=1, label="Sharpness"),
-        gr.Textbox(label="Draw Text", placeholder="e.g., Hello World"),
-        gr.Textbox(label="Text Position (x, y)", placeholder="e.g., 100,100"),
-        gr.ColorPicker(label="Text Color"),
-        gr.Slider(minimum=10, maximum=100, step=1, value=30, label="Text Size")
+        gr.inputs.Image(type="pil"),
+        gr.inputs.Radio(choices=["None", "Crop", "Adjust Color"]),
+        gr.inputs.Slider(0.5, 2.0, step=0.1, label="Factor")
+    ],
+    outputs=[
+        gr.outputs.Image(type="pil"),
+        gr.outputs.Textbox(label="Result")
     ],
-    outputs=gr.Image(),
-    live=True,
-    title="Advanced Image Editor",
-    description="Upload an image and apply various transformations including brightness, contrast, color adjustments, cropping, resizing, blurring, and adding text."
+    live=True
 )
 
-interface.launch()
+iface.launch()