{ "cells": [ { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loaded as API: http://127.0.0.1:7860/ ✔\n", "\n", "\n", " \n", " Swedish National Archives\n", " 2023-11-23, 09:41:42\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " Hushållspenningar\n", " \n", " \n", " \n", " \n", " \n", " \n", " Priminieration å Snällporten\n", " \n", " \n", " \n", " \n", " \n", " \n", " Gasverksräkning för för ä kronor\n", " \n", " \n", " \n", " \n", " \n", "\n", "\n" ] } ], "source": [ "from gradio_client import Client # pip install gradio_client\n", "\n", "# Change url to your client (localhost: http://127.0.0.1:7860/)\n", "\n", "client = Client(\"http://127.0.0.1:7860/\")\n", "job = client.submit(\n", " \"https://github.com/Swedish-National-Archives-AI-lab/htrflow_core/blob/main/data/raw/demo_image.jpg?raw=true\", \n", " \"Riksarkivet/satrn_htr\",\n", " api_name=\"/run_htr_pipeline\",\n", ")\n", "\n", "print(job.result())" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.9" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }