Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import pipeline
+
+MODEL_ID = "your-username/text-period-setfit"
+pipe = pipeline("text-classification", model=MODEL_ID, return_all_scores=True)
+
+def predict(txt):
+    scores = pipe(txt)[0]
+    scores = sorted(scores, key=lambda d: d["score"], reverse=True)
+    top = scores[0]["label"]
+    table = {s["label"]: round(float(s["score"]), 4) for s in scores}
+    return top, table
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(lines=8, label="Paste text"),
+    outputs=[gr.Label(label="Predicted Period"), gr.JSON(label="Scores")],
+    title="Text → Time Period"
+)
+
+if __name__ == "__main__":
+    demo.launch()