Create app.py

app.py

@@ -0,0 +1,24 @@
+mport gradio as gr
+from transformers import pipeline
+
+# Create the fill-mask pipeline
+fill_mask_pipe = pipeline("fill-mask", model="ayoubkirouane/FILL-MAsk-RoBERTa-base")
+
+def fill_mask(text):
+    # Make a prediction using the fill-mask pipeline
+    results = fill_mask_pipe(text)
+    return results[0]["sequence"]
+
+example = ["The capital of Algeria is <mask>."]
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=fill_mask,
+    inputs="text",
+    outputs="text",
+    examples=example,
+    title="FILL-MAsk-RoBERTa-base Demo",
+    description="Enter a sentence with a masked token, and the model will predict the missing word.",
+)
+
+# Launch the Gradio app
+iface.launch()