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Build error
| import transformers | |
| import gradio as gr | |
| import torch | |
| from transformers import GPT2LMHeadModel, GPT2Tokenizer | |
| tokenizer = GPT2Tokenizer.from_pretrained('microsoft/DialoGPT-small') | |
| model = GPT2LMHeadModel.from_pretrained('microsoft/DialoGPT-small') | |
| def chat(message, token_response): | |
| token_message = tokenizer.encode(message + tokenizer.eos_token, return_tensors='pt') | |
| token_response = model.generate(token_message, max_length=1000, pad_token_id=tokenizer.eos_token_id) | |
| response = tokenizer.decode(token_response[:, token_message.shape[-1]:][0], skip_special_tokens=True) | |
| return response, token_response | |
| input = gr.inputs.Textbox(lines=2, label='User:') | |
| output = gr.outputs.Textbox(label='Bot:') | |
| gr.Interface(fn=chat, | |
| title="DialoGPT-small", | |
| inputs=[input, "state"], | |
| outputs=[output, "state"], | |
| allow_screenshot=False, | |
| allow_flagging='never').launch() |