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from transformers import GPT2Tokenizer, GPT2Model | |
tokenizer = GPT2Tokenizer.from_pretrained('gpt2') | |
model = GPT2Model.from_pretrained('gpt2') | |
import gradio as gr | |
def gpt2(string): | |
text = string | |
encoded_input = tokenizer(text, return_tensors='pt') | |
output = model(**encoded_input) | |
return output | |
iface = gr.Interface(fn=gpt2, inputs="text", outputs="text") | |
iface.launch() |