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File size: 587 Bytes
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import gradio as gr
import numpy as np
generator = gr.load("huggingface/gpt2")
translator = gr.Interface(lambda s: "https://gradio-builds.s3.amazonaws.com/diffusion_image/cute_dog.jpg", gr.Textbox(), gr.Image())
demo = gr.Series(generator, translator, description="This demo combines two Spaces: a text generator (`huggingface/gpt2`) and a text translator (`huggingface/t5-small`). The first Space takes a prompt as input and generates a text. The second Space takes the generated text as input and translates it into another language.")
if __name__ == "__main__":
demo.launch() |