import gradio as gr from huggingface_hub import login import gradio_client as grc from transformers import pipeline get_completion = pipeline("summarization", model="shleifer/distilbart-cnn-12-6") def summarize(input): output = get_completion(input) return output[0]['summary_text'] token = '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' login(token=token) gr.close_all() demo = gr.Interface(fn=summarize, inputs="text", outputs="text") demo.launch() # gr.Interface.load("models/TinyPixel/Llama-2-7B-bf16-sharded").launch() # gr.Interface.load("models/abnerzhang/Llama-2-7B-bf16-sharded").launch() # grc.Client("ysharma/Explore_llamav2_with_TGI").deploy_discord(to_id="llama2-70b-discord-bot")