Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import pipeline
+
+generator = pipeline("summarization", model="kriton/greek-text-summarization")
+
+
+def generate_text(prompt):
+    response = generator(prompt, max_length=100, num_return_sequences=1)
+    return response[0]["generated_text"]
+
+iface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="Remote LLM Text Generation",
+    description="Enter a prompt to generate text from the model."
+)
+
+# Launch the Gradio interface
+iface.launch()