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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() |