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* placeholder * changelog * added to readme * client * implement futures * utils * scripts * lint * reorg * scripts * serialization * cleanup * fns * serialize * cache * callbacks * updates * formatting * packaging * requirements * remove changelog * client * access token * formatting * deprecate * format backend * client replace * updates * moving from utils * remove code duplication * rm duplicates * simplify * galleryserializer * serializable * load serializers * fixing errors * errors * typing * tests * changelog * lint * fix lint * fixing files * formatting * type * fix type checking * changelog * changelog * Update client/python/gradio_client/client.py Co-authored-by: Lucain <lucainp@gmail.com> * formatting, tests * formatting, tests * gr.load * refactoring * refactoring' * formatting * formatting * tests * tests * fix tests * cleanup * added tests * adding scripts * formatting * address review comments * readme * serialize info * remove from changelog * version 0.0.2 released * lint * type fix * check * type issues * hf_token * update hf token * telemetry * docs, circle dependency * hf token * formatting * updates * sort * script * external * docs * formatting * fixes * scripts * requirements * fix tests * context * changes * formatting * fixes * format fix --------- Co-authored-by: Lucain <lucainp@gmail.com>
9 lines
478 B
Python
9 lines
478 B
Python
import gradio as gr
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generator = gr.load("huggingface/gpt2")
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translator = gr.load("huggingface/t5-small")
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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.")
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if __name__ == "__main__":
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demo.launch() |