{ "cells": [ { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "#|default_exp app" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "\n", "#|export\n", "from fastai.vision.all import *\n", "import gradio as gr\n", "\n", "def is_rocky(x): return x[0].isupper()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "#|export\n", "learn = load_learner('export.pkl')" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "#|export\n", "categories = ('Rambo', 'Rocky')\n", "\n", "def classify_image(img):\n", " pred,idx,probs = learn.predict(img)\n", " return dict(zip(categories, map(float,probs)))" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/christoph.schmitz@schibsted.com/.pyenv/versions/anaconda3-2022.05/lib/python3.9/site-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n", " warnings.warn(\n", "/Users/christoph.schmitz@schibsted.com/.pyenv/versions/anaconda3-2022.05/lib/python3.9/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n", " warnings.warn(value)\n", "/Users/christoph.schmitz@schibsted.com/.pyenv/versions/anaconda3-2022.05/lib/python3.9/site-packages/gradio/outputs.py:197: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n", " warnings.warn(\n", "/Users/christoph.schmitz@schibsted.com/.pyenv/versions/anaconda3-2022.05/lib/python3.9/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n", " warnings.warn(value)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Running on local URL: http://127.0.0.1:7860\n", "\n", "To create a public link, set `share=True` in `launch()`.\n" ] }, { "data": { "text/plain": [] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#|export\n", "image = gr.inputs.Image(shape=(192, 192))\n", "label = gr.outputs.Label()\n", "examples = ['rocky.png', 'rambo.png']\n", "\n", "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n", "intf.launch(inline=False)" ] } ], "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": "3.9.12" }, "vscode": { "interpreter": { "hash": "4e71138104a91189cd6ffb8e6d7f8b2c2c6cae322a5bed2e5c5a8a57641ad73b" } } }, "nbformat": 4, "nbformat_minor": 2 }