From 34f4b4bd6d39341eae8dc5a3cb2da1e14f0b49fa Mon Sep 17 00:00:00 2001 From: Abubakar Abid Date: Tue, 19 Feb 2019 20:30:29 -0800 Subject: [PATCH] reorganized notebooks --- Usage.ipynb | 147 ---------------------------------------------------- 1 file changed, 147 deletions(-) delete mode 100644 Usage.ipynb diff --git a/Usage.ipynb b/Usage.ipynb deleted file mode 100644 index fdee2213e3..0000000000 --- a/Usage.ipynb +++ /dev/null @@ -1,147 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Example Usage of Gradio" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here is the code to define a model and train it. It may take a few minutes to train on a machine without GPUs" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import tensorflow as tf\n", - "import sklearn\n", - "import gradio\n", - "\n", - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From C:\\Users\\ALI\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\ops\\resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "Colocations handled automatically by placer.\n", - "WARNING:tensorflow:From C:\\Users\\ALI\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\layers\\core.py:143: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n", - "60000/60000 [==============================] - 15s 256us/sample - loss: 0.2202 - acc: 0.9343\n", - "10000/10000 [==============================] - 0s 48us/sample - loss: 0.1078 - acc: 0.9659\n" - ] - }, - { - "data": { - "text/plain": [ - "[0.10782068010494113, 0.9659]" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mnist = tf.keras.datasets.mnist\n", - "\n", - "(x_train, y_train),(x_test, y_test) = mnist.load_data()\n", - "x_train, x_test = x_train.reshape(-1, 784) / 255.0, x_test.reshape(-1, 784) / 255.0\n", - "\n", - "model = tf.keras.models.Sequential([\n", - " tf.keras.layers.Flatten(),\n", - " tf.keras.layers.Dense(512, activation=tf.nn.relu),\n", - " tf.keras.layers.Dropout(0.2),\n", - " tf.keras.layers.Dense(10, activation=tf.nn.softmax)\n", - "])\n", - "model.compile(optimizer='adam',\n", - " loss='sparse_categorical_crossentropy',\n", - " metrics=['accuracy'])\n", - "\n", - "model.fit(x_train, y_train, epochs=1)\n", - "model.evaluate(x_test, y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here, we simply take the trained model and pass it into **gradio**. When you run this, it should open up a new browser window and show allow you to interact with the model." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model available locally at: http://localhost:7860/templates/tmp_html.html\n", - "Model available publicly for 8 hours at: http://b424b6a9.ngrok.io/templates/tmp_html.html\n" - ] - }, - { - "ename": "OSError", - "evalue": "[Errno 10048] error while attempting to bind on address ('127.0.0.1', 9200): only one usage of each socket address (protocol/network address/port) is normally permitted", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mOSError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mgradio\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mInterface\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minput\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'webcam'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0moutput\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'class'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmodel_type\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'keras'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlaunch\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - 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] - } - ], - "source": [ - " gradio.Interface(input='webcam',output='class',model=model, model_type='keras').launch()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.7.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -}