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Browse files- requirements.txt +1 -1
- run.ipynb +1 -0
requirements.txt
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https://gradio-main-build.s3.amazonaws.com/
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https://gradio-main-build.s3.amazonaws.com/4f24e146dac42a85de708d147f488fdf418d4a7f/gradio-3.10.1-py3-none-any.whl
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: blocks_gpt"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "api = gr.Interface.load(\"huggingface/EleutherAI/gpt-j-6B\")\n", "\n", "def complete_with_gpt(text):\n", " # Use the last 50 characters of the text as context\n", " return text[:-50] + api(text[-50:])\n", "\n", "with gr.Blocks() as demo:\n", " textbox = gr.Textbox(placeholder=\"Type here and press enter...\", lines=4)\n", " btn = gr.Button(\"Generate\")\n", " \n", " btn.click(complete_with_gpt, textbox, textbox)\n", " \n", "if __name__ == \"__main__\":\n", " demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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