Create app.py

app.py

@@ -0,0 +1,18 @@
+from transformers import pipeline
+import gradio as gr
+
+# Load model
+classifier = pipeline("text-classification", model="your-username/octagon")
+
+def predict(text):
+    return classifier(text)
+
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs="label",
+    title="Octagon Text Classification",
+    description="A demo for the Octagon model trained on IMDB reviews."
+)
+
+iface.launch()