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init1
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app.py
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from transformers import AutoModelForCausalLM, AutoTokenizer, set_seed
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import gradio as gr
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#def result(text):
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# tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom-1b1")
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# model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-1b1", use_cache=True)
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with gr.Blocks() as demo:
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gr.Markdown("Here is a Sentiment Analysis app")
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gr.Interface.load(
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'huggingface/bigscience/bloom-1b1',
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title='Text Generation',
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examples=tg_examples,
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description="Write an incomplete sentence and submit",
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)
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demo.launch()
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