Update app.py

app.py

@@ -1,9 +1,18 @@
 import gradio as gr
-import numpy as np
 from PIL import Image
+import numpy as np
 
 # Placeholder function to simulate 3D model generation
 def generate_3d_model(image):
+    # Convert the uploaded image to a numpy array for processing
+    image_array = np.array(image)
+
+    # Placeholder logic: simply return the same image (you can replace this with actual processing)
+    # Here you would typically use a 3D modeling library or call an external API to process the image
+    processed_image = image_array  # This line simulates processing
+
+
+    def generate_3d_model(image):
     # Here, you would replace this code with the logic to generate a 3D model
     # For this example, let's assume it saves a dummy 3D model file
     output_file = "output_model.obj"
@@ -28,14 +37,19 @@ def generate_3d_model(image):
         f.write("f 4 3 7 8\n")
 
     return output_file
+    
+    # Convert back to PIL image for display
+    result_image = Image.fromarray(processed_image)
+
+    return result_image
 
-# Define the Gradio interface
+# Define the Gradio interface using the updated syntax
 iface = gr.Interface(
     fn=generate_3d_model,
     inputs=gr.Image(type="pil", label="Upload Jewelry Image"),
-    outputs="file",
+    outputs=gr.Image(type="pil", label="Generated 3D Model"),
     title="3D Jewelry Model Generator",
-    description="Upload an image of jewelry to generate a 3D model file. This is a placeholder for the actual 3D generation functionality.",
+    description="Upload an image of jewelry to generate a 3D model. This is a placeholder for the actual 3D generation functionality.",
     theme="compact"
 )