Create app.py

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("gpt2")
+model = AutoModelForCausalLM.from_pretrained("gpt2")
+
+def generate(text):
+    inputs = tokenizer.encode(text, return_tensors='pt')
+    outputs = model.generate(inputs, max_length=100, do_sample=True)
+    generated = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return generated
+
+gr.Interface(fn=generate, inputs="text", outputs="text").launch()