testtest

app.py

@@ -1,7 +1,16 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load a simple model (fill-mask task as an example)
+model = pipeline("fill-mask", model="distilroberta-base")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Define the function to use the GPU
+def predict(text):
+    return model(text)
+
+# Gradio Interface
+interface = gr.Interface(fn=predict, inputs="text", outputs="text")
+
+# Launch the interface
+if __name__ == "__main__":
+    interface.launch()