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Update app.py
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app.py
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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import gradio as gr
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tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompt-generator-v12")
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model = AutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompt-generator-v12", from_tf=True)
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batch = tokenizer(prompt, return_tensors="pt")
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generated_ids = model.generate(batch["input_ids"], max_new_tokens=150)
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output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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return output[0]
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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import gradio as gr
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import spaces
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import torch
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tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompt-generator-v12")
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model = AutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompt-generator-v12", from_tf=True)
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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model.to(device)
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@spaces.GPU
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def generate(prompt):
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batch = tokenizer(prompt, return_tensors="pt")
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batch.to(device)
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generated_ids = model.generate(batch["input_ids"], max_new_tokens=150)
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output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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return output[0]
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