Upload 2 files

app.py

@@ -0,0 +1,65 @@
+import os
+import gradio as gr
+import numpy as np
+from PIL import Image
+
+#Fonction du modèle provisoire
+def segment_image(image):
+    overlay_image = image.copy()
+    return overlay_image
+
+def create_interface():
+    with gr.Blocks() as interface:
+        gr.HTML(
+        """<style>
+        @import url('https://fonts.googleapis.com/css2?family=Poppins:wght@600&family=Roboto:wght@400&display=swap');
+
+        body { background-color: #f0f0f0; font-family: 'Roboto', sans-serif; }
+        h1 { font-family: 'Poppins', sans-serif; color: #4CAF50; text-align: center; }
+        h3 { font-family: 'Roboto', sans-serif; color: #333; text-align: center; }
+        .segment-btn { 
+            background-color: #4CAF50; 
+            border-radius: 8px; 
+            padding: 10px 20px; 
+            color: white; 
+            transition: background-color 0.3s ease, transform 0.2s ease;
+        }
+        .segment-btn:hover {
+            background-color: #45a049; 
+            transform: scale(1.05);
+        }
+        .logo { 
+            display: block; 
+            margin: 0 auto; 
+            width: 150px; 
+            height: auto; 
+            padding: 20px 0;
+        }
+        </style>"""
+        )
+        logo_path = os.path.join(os.getcwd(), '/assets/img/fashionlookl1.webp')
+        gr.Markdown("<img src=logo_path class='logo' alt='Logo'>")
+        gr.Markdown("<h1>FashionLook - Segment Clothes</h1>")
+        gr.Markdown("<h3 style='text-align: center;'>" "Upload an image and let our model detect and segment clothes such as shirts, pants, skirts...""</h3>")
+        with gr.Row():
+            with gr.Column(scale=1):
+                gr.Markdown("<h5>Upload your image</h5>")
+                image_input = gr.Image(type='pil', label="Upload Image", shape=(512, 512))
+                with gr.Row():
+                    segment_button = gr.Button("Run Segmentation", elem_id="segment-btn")
+            with gr.Column(scale=1):
+                gr.Markdown("<h5>Segmented Image with Overlay</h5>")
+                segmented_image_output = gr.Image(type="pil", label="Segmented Image", interactive=False)
+        
+        # Actions liées aux inputs/outputs
+        segment_button.click(
+            fn=segment_image, 
+            inputs=[image_input], 
+            outputs=[segmented_image_output]
+        )
+    
+    return interface
+
+# Lancer l'interface
+interface = create_interface()
+interface.launch()