Merge pull request #246 from clEsperanto/bia-bob-suggestions

Bia bob suggestions

demos/interoperability/biabob-example.ipynb

@@ -0,0 +1,110 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "6202a27d-1ca0-4261-b010-2eb8681b6f2f",
+ "metadata": {},
+ "source": [
+ "# AI-based code suggestions: bia-bob\n",
+ "\n",
+ "The [bia-bob project](https://github.com/haesleinhuepf/bia-bob) allows to use large language models for generating code in Jupyter notebooks. bia-bob is aware of pyclesperanto and can guide you how to use it. Just write your prompt below \"%%bob\", e.g. mentioning that you want to use GPU-acceleration for image processing and it may suggest using pyclesperanto."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "583c4b86-d763-4a56-84c0-3108fc7a9c86",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import bia_bob"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "84948b45-2f81-46c5-9038-885ddc53a24d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "image = np.random.random((20,20))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "60b42d69-dc92-41db-89ab-c93f0ec234f1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " <div style=\"font-size:7pt\">\n",
+ " This notebook may contain text, code and images generated by artificial intelligence.\n",
+ " Used model: gpt-4o-2024-08-06, vision model: gpt-4o-2024-08-06, endpoint: None, bia-bob version: 0.23.1.. Do not enter sensitive or private information and verify generated contents according to good scientific practice. Read more: <a href=\"https://github.com/haesleinhuepf/bia-bob#disclaimer\">https://github.com/haesleinhuepf/bia-bob#disclaimer</a>\n",
+ " </div>\n",
+ " "
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "%%bob \n",
+ "Apply a GPU-accelerated Gaussian blur to the `image` and show the result"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7201b7b3-0981-41b3-af9d-ffe5bf6c8fe9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pyclesperanto as cle\n",
+ "import stackview\n",
+ "\n",
+ "# Apply Gaussian blur\n",
+ "blurred_image = cle.gaussian_blur(image, sigma_x=2, sigma_y=2, sigma_z=0)\n",
+ "\n",
+ "# Show the result\n",
+ "stackview.insight(blurred_image)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5786dfe9-c944-4b3b-86c4-65b95e778fcb",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": "3.11.9"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}