Spaces:
Sleeping
Sleeping
| import gradio as gr | |
| from transformers import GPT2LMHeadModel, GPT2Tokenizer | |
| # Load pre-trained model | |
| tokenizer = GPT2Tokenizer.from_pretrained("gpt2") | |
| model = GPT2LMHeadModel.from_pretrained("gpt2") | |
| def generate_text(prompt): | |
| inputs = tokenizer.encode(prompt, return_tensors="pt") | |
| outputs = model.generate(inputs, max_length=150, num_return_sequences=1, temperature=0.7) | |
| generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| return generated_text | |
| iface = gr.Interface(fn=generate_text, inputs="text", outputs="text") | |
| iface.launch() | |