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| #level 1 text generator | |
| import gradio as gr | |
| examples = [ | |
| ["Once upon a time, "], | |
| ["One day, "] | |
| ] | |
| gr.load("huggingface/bigscience/bloomz-560m", title='My Second Text Generator', examples=examples).launch() | |
| #import gradio as gr | |
| #from transformers import pipeline | |
| #generator = pipeline('text-generation', model='EleutherAI/gpt-neo-1.3B') | |
| #def generate(text): | |
| # result=generator(text, max_length=100, num_return_sequences=3) | |
| # return result[0]['generated_text'] | |
| #gr.Interface(fn=generate, inputs=gr.inputs.Textbox(lines=5, label='input text'), outputs=gr.outputs.Textbox(label='output text'), title='My First Text Generator', examples=examples).launch() |