Create app.py

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+from spaces_utils import authenticate
+
+
+# Load tokens
+GRADIO_TOKEN = os.environ.get("GRADIO_ORG") # read
+
+
+# Logs repo path
+dataset_url = "https://huggingface.co/datasets/sandl/upload_bond_coat_segmentation"
+dataset_path = "logs_bond_coat_segmentation.csv"
+
+
+def authenticate_from_public(username, password):
+    return authenticate(username, password, dataset_url, dataset_path)
+    
+
+css_styling = """#submit {background: #FF8C00} 
+#submit {color: white} 
+.output-image, .input-image, .image-preview {height: 250px !important}"""
+
+
+with gr.Blocks(css=css_styling) as demo_from_private:
+    gr.Interface.load("spaces/sandl/private_particles_segmentation", api_key=GRADIO_TOKEN, enable_queue=True)
+
+
+if __name__ == "__main__":
+    demo_from_private.queue(concurrency_count=2)
+    demo_from_private.launch(auth=authenticate_from_public, debug=True, enable_queue=True)