gradio/Usage.ipynb

Example Usage of Gradio¶

Here is the code to define a model and train it. It may take a few minutes to train on a machine without GPUs

In [1]:

import numpy as np
import tensorflow as tf
import sklearn
import gradio

%load_ext autoreload
%autoreload 2

In [2]:

mnist = tf.keras.datasets.mnist

(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train.reshape(-1, 784) / 255.0, x_test.reshape(-1, 784) / 255.0

model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(),
  tf.keras.layers.Dense(512, activation=tf.nn.relu),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10, activation=tf.nn.softmax)
])
model.compile(optimizer='adam',
              loss='sparse_categorical_crossentropy',
              metrics=['accuracy'])

model.fit(x_train, y_train, epochs=1)
model.evaluate(x_test, y_test)

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.
Instructions for updating:
Colocations handled automatically by placer.
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.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
60000/60000 [==============================] - 15s 256us/sample - loss: 0.2202 - acc: 0.9343
10000/10000 [==============================] - 0s 48us/sample - loss: 0.1078 - acc: 0.9659

Out[2]:

[0.10782068010494113, 0.9659]

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.

In [7]:

    gradio.Interface(input='webcam',output='class',model=model, model_type='keras').launch()

Model available locally at: http://localhost:7860/templates/tmp_html.html
Model available publicly for 8 hours at: http://b424b6a9.ngrok.io/templates/tmp_html.html

---------------------------------------------------------------------------
OSError                                   Traceback (most recent call last)
<ipython-input-7-544d74ae98c8> in <module>
----> 1 gradio.Interface(input='webcam',output='class',model=model, model_type='keras').launch()

~\Desktop\gradiome\gradio.py in launch(self, share_link)
     98             print("Model available publicly for 8 hours at: {}".format(ngrok_url + '/' + path_to_template))
     99 
--> 100         asyncio.get_event_loop().run_until_complete(start_server)
    101         try:
    102             asyncio.get_event_loop().run_forever()

~\Anaconda3\lib\site-packages\nest_asyncio.py in run_until_complete(self, future)
     59             while not f.done():
     60                 run_once(self)
---> 61             return f.result()
     62         else:
     63             return self._run_until_complete_orig(future)

~\Anaconda3\lib\asyncio\futures.py in result(self)
    176         self.__log_traceback = False
    177         if self._exception is not None:
--> 178             raise self._exception
    179         return self._result
    180 

~\Anaconda3\lib\asyncio\tasks.py in __step(***failed resolving arguments***)
    221                 # We use the `send` method directly, because coroutines
    222                 # don't have `__iter__` and `__next__` methods.
--> 223                 result = coro.send(None)
    224             else:
    225                 result = coro.throw(exc)

~\Anaconda3\lib\asyncio\tasks.py in _wrap_awaitable(awaitable)
    601     that will later be wrapped in a Task by ensure_future().
    602     """
--> 603     return (yield from awaitable.__await__())
    604 
    605 

~\Anaconda3\lib\site-packages\websockets\py35\server.py in __await_impl__(self)
     11     # Duplicated with __iter__ because Python 3.7 requires an async function
     12     # (as explained in __await__ below) which Python 3.4 doesn't support.
---> 13     server = await self._creating_server
     14     self.ws_server.wrap(server)
     15     return self.ws_server

~\Anaconda3\lib\asyncio\base_events.py in create_server(self, protocol_factory, host, port, family, flags, sock, backlog, ssl, reuse_address, reuse_port, ssl_handshake_timeout, start_serving)
   1365                         raise OSError(err.errno, 'error while attempting '
   1366                                       'to bind on address %r: %s'
-> 1367                                       % (sa, err.strerror.lower())) from None
   1368                 completed = True
   1369             finally:

OSError: [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