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Sleeping
import gradio as gr | |
def chat(message, history): | |
new_user_input_ids = tokenizer.encode(message + tokenizer.eos_token, return_tensors='pt') | |
bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids | |
chat_history_ids = model.generate( | |
bot_input_ids, max_length=200, | |
pad_token_id=tokenizer.eos_token_id, | |
no_repeat_ngram_size=3, | |
do_sample=True, | |
top_k=100, | |
top_p=0.7, | |
temperature = 0.8 | |
) | |
response = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True) | |
history.append((message, response)) | |
return history, history | |
chatbot = gr.Chatbot().style(color_map=("green", "pink")) | |
demo = gr.Interface( | |
chat, | |
["text", "state"], | |
[chatbot, "state"], | |
allow_flagging="never", | |
) | |
demo.launch() |