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from transformers import GPT2LMHeadModel,GPT2Tokenizer | |
import gradio as grad | |
mdl = GPT2LMHeadModel.from_pretrained('gpt2') | |
gpt2_tkn=GPT2Tokenizer.from_pretrained('gpt2') | |
def generate(starting_text): | |
tkn_ids = gpt2_tkn.encode(starting_text, return_tensors = 'pt') | |
gpt2_tensors = mdl.generate(tkn_ids,max_length=100,no_repeat_ngram_size=True) | |
response="" | |
#response = gpt2_tensors | |
for i, x in enumerate(gpt2_tensors): | |
response=response+f"{i}: {gpt2_tkn.decode(x, skip_special_tokens=True)}" | |
return response | |
txt=grad.Textbox(lines=1, label="English", placeholder="English Text here") | |
out=grad.Textbox(lines=1, label="Generated Tensors") | |
grad.Interface(generate, inputs=txt, outputs=out).launch() |