Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load a pre-trained language model
+generator = pipeline("text-generation", model="gpt2")
+
+def generate_text(prompt):
+    return generator(prompt, max_length=50, num_return_sequences=1)[0]["generated_text"]
+
+# Gradio interface
+iface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="LLM Text Generator",
+    description="Generate text using a pre-trained GPT-2 model."
+)
+
+if __name__ == "__main__":
+    iface.launch()