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Update app.py
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app.py
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import gradio as gr
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import torch
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from peft import
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from transformers import
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config = PeftConfig.from_pretrained("kietnt0603/randeng-t5-vta-qa-lora")
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model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Randeng-T5-784M-QA-Chinese")
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model = PeftModel.from_pretrained(model, "kietnt0603/randeng-t5-vta-qa-lora")
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tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Randeng-T5-784M-QA-Chinese")
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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import gradio as gr
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import torch
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from peft import AutoPeftModelForSeq2SeqLM
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from transformers import AutoTokenizer
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model = AutoPeftModelForSeq2SeqLM.from_pretrained("kietnt0603/randeng-t5-vta-qa-lora")
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tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Randeng-T5-784M-QA-Chinese")
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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