Create text_generation.py

text_generation.py

@@ -0,0 +1,11 @@
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+def generate_text(prompt, max_length=50):
+    model_name = "gpt2"
+    tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+    model = GPT2LMHeadModel.from_pretrained(model_name)
+
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=max_length, num_return_sequences=1)
+    text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return text