mirror of
https://github.com/gradio-app/gradio.git
synced 2025-01-30 11:00:11 +08:00
0.1.6
This commit is contained in:
Abubakar Abid
parent
64f5bb8453
commit
613db90028
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</folding>
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/gradio/outputs.py">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
@ -589,44 +569,13 @@
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/gradio/inputs.py">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="291">
|
||||
<caret line="23" column="12" selection-start-line="23" selection-start-column="12" selection-end-line="23" selection-end-column="12" />
|
||||
<folding>
|
||||
<element signature="e#0#35#0" expanded="true" />
|
||||
</folding>
|
||||
</state>
|
||||
</provider>
|
||||
<entry file="file://$PROJECT_DIR$/gradio/preprocessing_utils.py">
|
||||
<provider selected="true" editor-type-id="text-editor" />
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/../testing/test_gradio.py">
|
||||
<entry file="file://$PROJECT_DIR$/gradio/js/all-io.js">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="175">
|
||||
<caret line="7" column="9" selection-start-line="7" selection-end-line="7" selection-end-column="14" />
|
||||
<folding>
|
||||
<element signature="e#0#18#0" expanded="true" />
|
||||
</folding>
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/gradio/__init__.py">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="175">
|
||||
<caret line="124" column="11" selection-start-line="124" selection-start-column="11" selection-end-line="124" selection-end-column="11" />
|
||||
<folding>
|
||||
<element signature="e#0#14#0" expanded="true" />
|
||||
<marker date="1550570423744" expanded="true" signature="2592:2837" ph="..." />
|
||||
</folding>
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
<entry file="file://$PROJECT_DIR$/gradio/networking.py">
|
||||
<provider selected="true" editor-type-id="text-editor">
|
||||
<state relative-caret-position="597">
|
||||
<caret line="73" selection-start-line="73" selection-end-line="73" />
|
||||
<folding>
|
||||
<element signature="e#0#17#0" expanded="true" />
|
||||
</folding>
|
||||
<state relative-caret-position="675">
|
||||
<caret line="27" column="1" selection-start-line="27" selection-start-column="1" selection-end-line="27" selection-end-column="1" />
|
||||
</state>
|
||||
</provider>
|
||||
</entry>
|
||||
|
||||
@ -24,33 +24,24 @@
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"WARNING:tensorflow:From C:\\Users\\ALI\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py:263: 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\\keras\\backend\\tensorflow_backend.py:3445: 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",
|
||||
"WARNING:tensorflow:From C:\\Users\\ALI\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\ops\\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
|
||||
"Instructions for updating:\n",
|
||||
"Use tf.cast instead.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"model = load_model('models/emotion.h5')"
|
||||
"# Load an Facial Emotion Detector Model"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"model = load_model('.models/emotion.h5')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@ -61,7 +52,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@ -69,8 +60,8 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"NOTE: Gradio is in beta stage, please report all bugs to: a12d@stanford.edu\n",
|
||||
"Model available locally at: http://localhost:7879/interface.html\n",
|
||||
"Model available publicly for 8 hours at: http://31f97c1d.ngrok.io/interface.html\n"
|
||||
"Model available locally at: http://localhost:7861/interface.html\n",
|
||||
"Model available publicly for 8 hours at: https://fe2a5e78.ngrok.io/interface.html\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@ -82,9 +73,9 @@
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"display_name": "Python 3.6 (tensorflow)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
"name": "tensorflow"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
@ -96,7 +87,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.7.1"
|
||||
"version": "3.6.7"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
95
Emotional Detector (Webcam).ipynb
Normal file
95
Emotional Detector (Webcam).ipynb
Normal file
@ -0,0 +1,95 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Using TensorFlow backend.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import numpy as np\n",
|
||||
"import sklearn\n",
|
||||
"import gradio\n",
|
||||
"from keras.models import load_model\n",
|
||||
"\n",
|
||||
"%load_ext autoreload\n",
|
||||
"%autoreload 2"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Load an Facial Emotion Detector Model"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"model = load_model('.models/emotion.h5')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def post_p(prediction): \n",
|
||||
" emotional_dict = {0: \"Angry\", 1: \"Disgusted\", 2: \"Fearful\", 3: \"Happy\", 4: \"Neutral\", 5: \"Sad\", 6: \"Surprised\"}\n",
|
||||
" return emotional_dict[prediction.squeeze().argmax()]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"NOTE: Gradio is in beta stage, please report all bugs to: a12d@stanford.edu\n",
|
||||
"Model available locally at: http://localhost:7861/interface.html\n",
|
||||
"Model available publicly for 8 hours at: https://fe2a5e78.ngrok.io/interface.html\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"iface = gradio.Interface(input='webcam', output='class', model=model, model_type='keras',postprocessing_fn=post_p)\n",
|
||||
"iface.launch()"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3.6 (tensorflow)",
|
||||
"language": "python",
|
||||
"name": "tensorflow"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.6.7"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
@ -28,6 +28,13 @@
|
||||
"%autoreload 2"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Load MNIST Model"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
@ -39,9 +46,16 @@
|
||||
"model = load_model('.models/mnist-cnn.h5')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Run Interface"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"execution_count": 3,
|
||||
"metadata": {
|
||||
"scrolled": true
|
||||
},
|
||||
@ -51,8 +65,8 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"NOTE: Gradio is in beta stage, please report all bugs to: a12d@stanford.edu\n",
|
||||
"Model available locally at: http://localhost:7874/interface.html\n",
|
||||
"Model available publicly for 8 hours at: http://bb18a5c1.ngrok.io/interface.html\n"
|
||||
"Model available locally at: http://localhost:7865/interface.html\n",
|
||||
"Model available publicly for 8 hours at: http://a0c2eba1.ngrok.io/interface.html\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@ -23,6 +23,30 @@ body {
|
||||
}
|
||||
|
||||
|
||||
h1, h2, h3, h4, h5, h6,
|
||||
.h1, .h2, .h3, .h4, .h5, .h6 {
|
||||
margin-bottom: 0.5rem;
|
||||
font-family: inherit;
|
||||
font-weight: 500;
|
||||
line-height: 1.2;
|
||||
color: inherit;
|
||||
width: 400px;
|
||||
}
|
||||
|
||||
.btn-group > .btn:first-child {
|
||||
margin-left: 75;
|
||||
}
|
||||
|
||||
.btn-group,
|
||||
.btn-group-vertical {
|
||||
position: relative;
|
||||
display: -ms-inline-flexbox;
|
||||
display: inline-flex;
|
||||
vertical-align: middle;
|
||||
width:400px;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.uploader {position:relative; overflow:hidden; width:400px; height:400px; background:#f3f3f3; border:2px dashed #e8e8e8; font-family: "Arial"; font-size: 40px; color: darkolivegreen;}
|
||||
|
||||
#filePhoto{
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
var NGROK_URL = "ws://b09c2edb.ngrok.io"
|
||||
var NGROK_URL = "ws://0076f141.ngrok.io"
|
||||
var SOCKET_PORT = 9200
|
||||
|
||||
try {
|
||||
@ -6,7 +6,7 @@ try {
|
||||
if (origin.includes("ngrok")){
|
||||
var ws = new WebSocket(NGROK_URL)
|
||||
} else {
|
||||
var ws = new WebSocket("ws://127.0.0.1:9200/")
|
||||
var ws = new WebSocket("ws://127.0.0.1:" + SOCKET_PORT + "/")
|
||||
}
|
||||
ws.onerror = function(evt) {
|
||||
console.log(evt)
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
<div class="col-6">
|
||||
<h5></h5><br>
|
||||
<h5>Class Output:</h5>
|
||||
<div id="predict_div" style="background-color:grey">
|
||||
|
||||
</div>
|
||||
|
||||
@ -14,13 +14,13 @@
|
||||
|
||||
-->
|
||||
<div class="col-6">
|
||||
<h5 style="text-align: center">Image Upload Input:</h5>
|
||||
<div> <h5>Image Upload Input:</h5> </div>
|
||||
|
||||
<div class="uploader" style="text-align: center; vertical-align: middle" onclick="$('#filePhoto').click()">
|
||||
<br>Click here <br> or <br> drag and drop <br>an image
|
||||
<img/>
|
||||
<input type="file" name="userprofile_picture" id="filePhoto" />
|
||||
</div>
|
||||
</div>
|
||||
<div class="btn-group" role="group" aria-label="Basic example">
|
||||
<button type="button" class="btn btn-primary" id="submit-button">Submit</button>
|
||||
<button type="button" class="btn btn-secondary" id="clear-button">Clear</button>
|
||||
|
||||
Binary file not shown.
@ -1,6 +1,6 @@
|
||||
Metadata-Version: 1.0
|
||||
Name: gradio
|
||||
Version: 0.1.5
|
||||
Version: 0.1.6
|
||||
Summary: Python library for easily interacting with trained machine learning models
|
||||
Home-page: https://github.com/abidlabs/gradio
|
||||
Author: Abubakar Abid
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
var NGROK_URL = "wss://ac0577fa.ngrok.io"
|
||||
var NGROK_URL = "ws://0076f141.ngrok.io"
|
||||
var SOCKET_PORT = 9200
|
||||
|
||||
try {
|
||||
@ -6,7 +6,7 @@ try {
|
||||
if (origin.includes("ngrok")){
|
||||
var ws = new WebSocket(NGROK_URL)
|
||||
} else {
|
||||
var ws = new WebSocket("ws://127.0.0.1:9200/")
|
||||
var ws = new WebSocket("ws://127.0.0.1:" + SOCKET_PORT + "/")
|
||||
}
|
||||
ws.onerror = function(evt) {
|
||||
console.log(evt)
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
var NGROK_URL = "ws://225e0da0.ngrok.io"
|
||||
var SOCKET_PORT = 9201
|
||||
var NGROK_URL = "ws://9828e92a.ngrok.io"
|
||||
var SOCKET_PORT = 9200
|
||||
|
||||
try {
|
||||
var origin = window.location.origin;
|
||||
|
||||
Loading…
Reference in New Issue
Block a user