Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
+model = GPT2LMHeadModel.from_pretrained("gpt2")
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to('cuda')
+    outputs = model.generate(inputs, do_sample=False, max_length=100)
+
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return generated_text
+
+iface = gr.Interface(fn=generate_text, inputs=[gr.Textbox(label="Enter a prompt")])
+iface.launch()