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import gradio as gr |
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
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def greet(name): |
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tokenizer = AutoTokenizer.from_pretrained("zjunlp/MolGen") |
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model = AutoModelForSeq2SeqLM.from_pretrained("zjunlp/MolGen") |
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sf_input = tokenizer(name, return_tensors="pt") |
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molecules = model.generate(input_ids=sf_input["input_ids"], |
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sf_output = [tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=True).replace(" ","") for g in molecules] |
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return sf_output |
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iface = gr.Interface(fn=greet, inputs="text", outputs="text") |
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iface.launch() |
