Create app.py

app.py

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+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+model_name = "gpt2"  # You can also use "gpt2-medium", "gpt2-large", "gpt2-xl"
+
+# Download the tokenizer and model
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+model = GPT2LMHeadModel.from_pretrained(model_name)
+
+# Optional test
+input_ids = tokenizer.encode("The world is", return_tensors="pt")
+output = model.generate(input_ids, max_length=20)
+print(tokenizer.decode(output[0]))