35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
import gradio as gr
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from transformers import pipeline, set_seed
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def inference(text):
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model_path = "distilgpt2"
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generator = pipeline('text-generation', model=model_path)
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set_seed(42)
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output = []
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lst = generator(text, max_length=20, num_return_sequences=5)
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for dic in lst:
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output.append(dic['generated_text'])
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return output
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examples = [["Hello, I’m a language model."]]
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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# Text generation:distilgpt2
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DistilGPT2（Distilled-GPT2）是一种英语模型，在GPT-2的监督下进行预训练。与 GPT-2 一样，DistilGPT2 可用于生成文本。
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这是一个distilgpt2的Gradio Demo。 输入你想要的英文文本或者点击下面的示例文本来加载它。
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""")
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with gr.Row():
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text_input = gr.Textbox()
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text_output = gr.Textbox()
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image_button = gr.Button("上传")
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image_button.click(inference, inputs=text_input, outputs=text_output)
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gr.Examples(examples, inputs=text_input)
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demo.launch(server_name="0.0.0.0")
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