Create app.py

app.py

@@ -0,0 +1,20 @@
+import oneclass
+import gradio as gr
+import pandas as pd
+
+def predict_and_download(positive_csv_file, unlabelled_csv_file, n, text):
+    selected_paper_info = oneclass.select_top_n_papers(n, positive_csv_file, unlabelled_csv_file)
+
+    return selected_paper_info
+
+# Create the interface
+iface = gr.Interface(
+    fn=predict_and_download,
+    inputs=["file", "file", "number", "textbox"],
+    outputs=[gr.DataFrame(label="Selected Papers")],
+    title="Paper Prediction",
+    description="Enter text and upload CSV files for labelled and unlabelled data.",
+    allow_flagging='never'  # Disable flagging feature
+)
+
+iface.launch()