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Runtime error
| import gradio as gr | |
| import torch | |
| from transformers import AutoTokenizer, EncoderDecoderModel | |
| tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/es-seq2seq-gender-encoder", model_max_length=256) | |
| model = EncoderDecoderModel.from_encoder_decoder_pretrained( | |
| "monsoon-nlp/es-seq2seq-gender-encoder", | |
| "monsoon-nlp/es-seq2seq-gender-decoder", | |
| max_length=45, | |
| ) | |
| def flip(content): | |
| input_ids = torch.tensor(tokenizer.encode(content)).unsqueeze(0) | |
| generated = model.generate(input_ids, decoder_start_token_id=model.config.decoder.pad_token_id) | |
| op = tokenizer.decode(generated.tolist()[0][1:]) | |
| if '[SEP]' in op: | |
| return op[:op.index('[SEP]')] | |
| return op | |
| iface = gr.Interface(fn=flip, | |
| inputs=gr.inputs.Textbox(label="Original Spanish text"), | |
| outputs=gr.outputs.Textbox(label="Flipped"), | |
| description="seq2seq built from BETO model - see https://huggingface.co/monsoon-nlp/es-seq2seq-gender-encoder", | |
| ) | |
| iface.launch() | |