Update app.py
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app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-large")
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model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large", device_map="auto", cache_dir="cache", offload_folder="offload" )
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def generate(input_text):
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input_ids = tokenizer(input_text, return_tensors="pt")
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output = model.generate(input_ids, max_length=70)
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return tokenizer.decode(output[0], skip_special_tokens=True)
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#@title GUI
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import gradio as gr
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title = "Flan T5 :)"
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def inference(text):
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return generate(text)
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io = gr.Interface(
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inference,
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gr.Textbox(lines=3),
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outputs=[
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gr.Textbox(lines=3, label="Flan T5")
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],
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title=title,
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)
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io.launch(share=True,debug=True)
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