Update app.py

app.py

@@ -1,15 +1,16 @@
 import gradio as gr
-import socket
-
-def next_free_port( port=1024, max_port=65535 ):
-    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-    while port <= max_port:
-        try:
-            sock.bind(('', port))
-            sock.close()
-            return port
-        except OSError:
-            port += 1
-    raise IOError('no free ports')
-
-gr.Interface.load("models/sahal-mulki/spotting-diffusion").launch(next_free_port())
+from transformers import pipeline
+
+classifier = pipeline("image-classification", model="sahal-mulki/spotting-diffusion")
+
+def predict(image):
+    predictions = pipeline(image)
+    return {p["label"]: p["score"] for p in predictions}
+
+
+gr.Interface(fn=classify_image, 
+             inputs=gr.inputs.Image(shape=(256, 256)),
+             outputs=gr.outputs.Label(num_top_classes=2),
+#             examples=["banana.jpg", "car.jpg"],             
+             theme="default",
+             css=".footer{display:none !important}").launch()