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Merge pull request #246 from clEsperanto/bia-bob-suggestions
Bia bob suggestions
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{ | ||
"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 | ||
} |
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