mirror of
https://github.com/gradio-app/gradio.git
synced 2024-11-21 01:01:05 +08:00
moved Interface class to separate file (doesn't affect imports)
This commit is contained in:
Abubakar Abid
parent
57f517192c
commit
59f8dbf8a0
@ -1,14 +0,0 @@
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|
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@ -2,7 +2,17 @@
|
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"cells": [
|
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|
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|
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|
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|
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|
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{
|
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@ -30,20 +40,13 @@
|
||||
"text": [
|
||||
"NOTE: Gradio is in beta stage, please report all bugs to: a12d@stanford.edu\n",
|
||||
"Model available locally at: http://localhost:7862/interface.html\n",
|
||||
"Model available publicly for 8 hours at: http://ae6f8734.ngrok.io/interface.html\n"
|
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"Model available publicly for 8 hours at: http://bf3590aa.ngrok.io/interface.html\n"
|
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]
|
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}
|
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],
|
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|
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|
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]
|
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},
|
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{
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}
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],
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"metadata": {
|
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|
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@ -1,157 +1 @@
|
||||
import asyncio
|
||||
import websockets
|
||||
import nest_asyncio
|
||||
import webbrowser
|
||||
import pkg_resources
|
||||
from bs4 import BeautifulSoup
|
||||
from gradio import inputs
|
||||
from gradio import outputs
|
||||
from gradio import networking
|
||||
import os
|
||||
import shutil
|
||||
import tempfile
|
||||
|
||||
nest_asyncio.apply()
|
||||
|
||||
LOCALHOST_IP = '127.0.0.1'
|
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INITIAL_WEBSOCKET_PORT = 9200
|
||||
TRY_NUM_PORTS = 100
|
||||
|
||||
BASE_TEMPLATE = pkg_resources.resource_filename('gradio', 'templates/all_io.html')
|
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JS_PATH_LIB = pkg_resources.resource_filename('gradio', 'js/')
|
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CSS_PATH_LIB = pkg_resources.resource_filename('gradio', 'css/')
|
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JS_PATH_TEMP = 'js/'
|
||||
CSS_PATH_TEMP = 'css/'
|
||||
TEMPLATE_TEMP = 'interface.html'
|
||||
BASE_JS_FILE = 'js/all-io.js'
|
||||
|
||||
|
||||
class Interface():
|
||||
"""
|
||||
"""
|
||||
|
||||
def __init__(self, input, output, model, model_type, preprocessing_fn=None, postprocessing_fn=None):
|
||||
"""
|
||||
:param model_type: what kind of trained model, can be 'keras' or 'sklearn'.
|
||||
:param model_obj: the model object, such as a sklearn classifier or keras model.
|
||||
:param model_params: additional model parameters.
|
||||
"""
|
||||
self.input_interface = inputs.registry[input](preprocessing_fn)
|
||||
self.output_interface = outputs.registry[output](postprocessing_fn)
|
||||
self.model_type = model_type
|
||||
self.model_obj = model
|
||||
|
||||
def _build_template(self, temp_dir):
|
||||
input_template_path = pkg_resources.resource_filename(
|
||||
'gradio', self.input_interface._get_template_path())
|
||||
output_template_path = pkg_resources.resource_filename(
|
||||
'gradio', self.output_interface._get_template_path())
|
||||
input_page = open(input_template_path)
|
||||
output_page = open(output_template_path)
|
||||
input_soup = BeautifulSoup(input_page.read(), features="html.parser")
|
||||
output_soup = BeautifulSoup(output_page.read(), features="html.parser")
|
||||
|
||||
all_io_page = open(BASE_TEMPLATE)
|
||||
all_io_soup = BeautifulSoup(all_io_page.read(), features="html.parser")
|
||||
input_tag = all_io_soup.find("div", {"id": "input"})
|
||||
output_tag = all_io_soup.find("div", {"id": "output"})
|
||||
|
||||
input_tag.replace_with(input_soup)
|
||||
output_tag.replace_with(output_soup)
|
||||
|
||||
f = open(os.path.join(temp_dir, TEMPLATE_TEMP), "w")
|
||||
f.write(str(all_io_soup.prettify))
|
||||
|
||||
self._copy_files(JS_PATH_LIB, os.path.join(temp_dir, JS_PATH_TEMP))
|
||||
self._copy_files(CSS_PATH_LIB, os.path.join(temp_dir, CSS_PATH_TEMP))
|
||||
return
|
||||
|
||||
def _copy_files(self, src_dir, dest_dir):
|
||||
if not os.path.exists(dest_dir):
|
||||
os.makedirs(dest_dir)
|
||||
src_files = os.listdir(src_dir)
|
||||
for file_name in src_files:
|
||||
full_file_name = os.path.join(src_dir, file_name)
|
||||
if os.path.isfile(full_file_name):
|
||||
shutil.copy(full_file_name, dest_dir)
|
||||
|
||||
def _set_socket_url_in_js(self, temp_dir, socket_url):
|
||||
with open(os.path.join(temp_dir, BASE_JS_FILE)) as fin:
|
||||
lines = fin.readlines()
|
||||
lines[0] = 'var NGROK_URL = "{}"\n'.format(socket_url.replace('http', 'ws'))
|
||||
|
||||
with open(os.path.join(temp_dir, BASE_JS_FILE), 'w') as fout:
|
||||
for line in lines:
|
||||
fout.write(line)
|
||||
|
||||
def _set_socket_port_in_js(self, temp_dir, socket_port):
|
||||
with open(os.path.join(temp_dir, BASE_JS_FILE)) as fin:
|
||||
lines = fin.readlines()
|
||||
lines[1] = 'var SOCKET_PORT = {}\n'.format(socket_port)
|
||||
|
||||
with open(os.path.join(temp_dir, BASE_JS_FILE), 'w') as fout:
|
||||
for line in lines:
|
||||
fout.write(line)
|
||||
|
||||
def predict(self, array):
|
||||
if self.model_type=='sklearn':
|
||||
return self.model_obj.predict(array)
|
||||
elif self.model_type=='keras':
|
||||
return self.model_obj.predict(array)
|
||||
elif self.model_type=='func':
|
||||
return self.model_obj(array)
|
||||
else:
|
||||
raise ValueError('model_type must be one of: "sklearn" or "keras" or "func".')
|
||||
|
||||
async def communicate(self, websocket, path):
|
||||
"""
|
||||
Method that defines how this interface communicates with the websocket.
|
||||
:param websocket: a Websocket object used to communicate with the interface frontend
|
||||
:param path: ignored
|
||||
"""
|
||||
while True:
|
||||
try:
|
||||
msg = await websocket.recv()
|
||||
processed_input = self.input_interface._pre_process(msg)
|
||||
prediction = self.predict(processed_input)
|
||||
processed_output = self.output_interface._post_process(prediction)
|
||||
await websocket.send(str(processed_output))
|
||||
except websockets.exceptions.ConnectionClosed:
|
||||
pass
|
||||
|
||||
def launch(self, share_link=True):
|
||||
"""
|
||||
Standard method shared by interfaces that launches a websocket at a specified IP address.
|
||||
"""
|
||||
networking.kill_processes([4040, 4041])
|
||||
output_directory = tempfile.mkdtemp()
|
||||
|
||||
server_port = networking.start_simple_server(output_directory)
|
||||
path_to_server = 'http://localhost:{}/'.format(server_port)
|
||||
self._build_template(output_directory)
|
||||
|
||||
ports_in_use = networking.get_ports_in_use()
|
||||
for i in range(TRY_NUM_PORTS):
|
||||
if not ((INITIAL_WEBSOCKET_PORT + i) in ports_in_use):
|
||||
break
|
||||
else:
|
||||
raise OSError("All ports from {} to {} are in use. Please close a port.".format(
|
||||
INITIAL_WEBSOCKET_PORT, INITIAL_WEBSOCKET_PORT + TRY_NUM_PORTS))
|
||||
|
||||
start_server = websockets.serve(self.communicate, LOCALHOST_IP, INITIAL_WEBSOCKET_PORT + i)
|
||||
self._set_socket_port_in_js(output_directory, INITIAL_WEBSOCKET_PORT + i)
|
||||
|
||||
if share_link:
|
||||
site_ngrok_url = networking.setup_ngrok(server_port)
|
||||
socket_ngrok_url = networking.setup_ngrok(INITIAL_WEBSOCKET_PORT, api_url=networking.NGROK_TUNNELS_API_URL2)
|
||||
self._set_socket_url_in_js(output_directory, socket_ngrok_url)
|
||||
print("NOTE: Gradio is in beta stage, please report all bugs to: a12d@stanford.edu")
|
||||
print("Model available locally at: {}".format(path_to_server + TEMPLATE_TEMP))
|
||||
print("Model available publicly for 8 hours at: {}".format(site_ngrok_url + '/' + TEMPLATE_TEMP))
|
||||
asyncio.get_event_loop().run_until_complete(start_server)
|
||||
try:
|
||||
asyncio.get_event_loop().run_forever()
|
||||
except RuntimeError: # Runtime errors are thrown in jupyter notebooks because of async.
|
||||
pass
|
||||
|
||||
webbrowser.open(path_to_server + TEMPLATE_TEMP)
|
||||
from interface import Interface # This makes Interface importable as gradio.Interface.
|
||||
|
||||
157
gradio/interface.py
Normal file
157
gradio/interface.py
Normal file
@ -0,0 +1,157 @@
|
||||
import asyncio
|
||||
import websockets
|
||||
import nest_asyncio
|
||||
import webbrowser
|
||||
import pkg_resources
|
||||
from bs4 import BeautifulSoup
|
||||
from gradio import inputs
|
||||
from gradio import outputs
|
||||
from gradio import networking
|
||||
import os
|
||||
import shutil
|
||||
import tempfile
|
||||
|
||||
nest_asyncio.apply()
|
||||
|
||||
LOCALHOST_IP = '127.0.0.1'
|
||||
INITIAL_WEBSOCKET_PORT = 9200
|
||||
TRY_NUM_PORTS = 100
|
||||
|
||||
BASE_TEMPLATE = pkg_resources.resource_filename('gradio', 'templates/all_io.html')
|
||||
JS_PATH_LIB = pkg_resources.resource_filename('gradio', 'js/')
|
||||
CSS_PATH_LIB = pkg_resources.resource_filename('gradio', 'css/')
|
||||
JS_PATH_TEMP = 'js/'
|
||||
CSS_PATH_TEMP = 'css/'
|
||||
TEMPLATE_TEMP = 'interface.html'
|
||||
BASE_JS_FILE = 'js/all-io.js'
|
||||
|
||||
|
||||
class Interface():
|
||||
"""
|
||||
"""
|
||||
|
||||
def __init__(self, input, output, model, model_type, preprocessing_fn=None, postprocessing_fn=None):
|
||||
"""
|
||||
:param model_type: what kind of trained model, can be 'keras' or 'sklearn'.
|
||||
:param model_obj: the model object, such as a sklearn classifier or keras model.
|
||||
:param model_params: additional model parameters.
|
||||
"""
|
||||
self.input_interface = inputs.registry[input](preprocessing_fn)
|
||||
self.output_interface = outputs.registry[output](postprocessing_fn)
|
||||
self.model_type = model_type
|
||||
self.model_obj = model
|
||||
|
||||
def _build_template(self, temp_dir):
|
||||
input_template_path = pkg_resources.resource_filename(
|
||||
'gradio', self.input_interface._get_template_path())
|
||||
output_template_path = pkg_resources.resource_filename(
|
||||
'gradio', self.output_interface._get_template_path())
|
||||
input_page = open(input_template_path)
|
||||
output_page = open(output_template_path)
|
||||
input_soup = BeautifulSoup(input_page.read(), features="html.parser")
|
||||
output_soup = BeautifulSoup(output_page.read(), features="html.parser")
|
||||
|
||||
all_io_page = open(BASE_TEMPLATE)
|
||||
all_io_soup = BeautifulSoup(all_io_page.read(), features="html.parser")
|
||||
input_tag = all_io_soup.find("div", {"id": "input"})
|
||||
output_tag = all_io_soup.find("div", {"id": "output"})
|
||||
|
||||
input_tag.replace_with(input_soup)
|
||||
output_tag.replace_with(output_soup)
|
||||
|
||||
f = open(os.path.join(temp_dir, TEMPLATE_TEMP), "w")
|
||||
f.write(str(all_io_soup.prettify))
|
||||
|
||||
self._copy_files(JS_PATH_LIB, os.path.join(temp_dir, JS_PATH_TEMP))
|
||||
self._copy_files(CSS_PATH_LIB, os.path.join(temp_dir, CSS_PATH_TEMP))
|
||||
return
|
||||
|
||||
def _copy_files(self, src_dir, dest_dir):
|
||||
if not os.path.exists(dest_dir):
|
||||
os.makedirs(dest_dir)
|
||||
src_files = os.listdir(src_dir)
|
||||
for file_name in src_files:
|
||||
full_file_name = os.path.join(src_dir, file_name)
|
||||
if os.path.isfile(full_file_name):
|
||||
shutil.copy(full_file_name, dest_dir)
|
||||
|
||||
def _set_socket_url_in_js(self, temp_dir, socket_url):
|
||||
with open(os.path.join(temp_dir, BASE_JS_FILE)) as fin:
|
||||
lines = fin.readlines()
|
||||
lines[0] = 'var NGROK_URL = "{}"\n'.format(socket_url.replace('http', 'ws'))
|
||||
|
||||
with open(os.path.join(temp_dir, BASE_JS_FILE), 'w') as fout:
|
||||
for line in lines:
|
||||
fout.write(line)
|
||||
|
||||
def _set_socket_port_in_js(self, temp_dir, socket_port):
|
||||
with open(os.path.join(temp_dir, BASE_JS_FILE)) as fin:
|
||||
lines = fin.readlines()
|
||||
lines[1] = 'var SOCKET_PORT = {}\n'.format(socket_port)
|
||||
|
||||
with open(os.path.join(temp_dir, BASE_JS_FILE), 'w') as fout:
|
||||
for line in lines:
|
||||
fout.write(line)
|
||||
|
||||
def predict(self, array):
|
||||
if self.model_type=='sklearn':
|
||||
return self.model_obj.predict(array)
|
||||
elif self.model_type=='keras':
|
||||
return self.model_obj.predict(array)
|
||||
elif self.model_type=='func':
|
||||
return self.model_obj(array)
|
||||
else:
|
||||
raise ValueError('model_type must be one of: "sklearn" or "keras" or "func".')
|
||||
|
||||
async def communicate(self, websocket, path):
|
||||
"""
|
||||
Method that defines how this interface communicates with the websocket.
|
||||
:param websocket: a Websocket object used to communicate with the interface frontend
|
||||
:param path: ignored
|
||||
"""
|
||||
while True:
|
||||
try:
|
||||
msg = await websocket.recv()
|
||||
processed_input = self.input_interface._pre_process(msg)
|
||||
prediction = self.predict(processed_input)
|
||||
processed_output = self.output_interface._post_process(prediction)
|
||||
await websocket.send(str(processed_output))
|
||||
except websockets.exceptions.ConnectionClosed:
|
||||
pass
|
||||
|
||||
def launch(self, share_link=True):
|
||||
"""
|
||||
Standard method shared by interfaces that launches a websocket at a specified IP address.
|
||||
"""
|
||||
networking.kill_processes([4040, 4041])
|
||||
output_directory = tempfile.mkdtemp()
|
||||
|
||||
server_port = networking.start_simple_server(output_directory)
|
||||
path_to_server = 'http://localhost:{}/'.format(server_port)
|
||||
self._build_template(output_directory)
|
||||
|
||||
ports_in_use = networking.get_ports_in_use()
|
||||
for i in range(TRY_NUM_PORTS):
|
||||
if not ((INITIAL_WEBSOCKET_PORT + i) in ports_in_use):
|
||||
break
|
||||
else:
|
||||
raise OSError("All ports from {} to {} are in use. Please close a port.".format(
|
||||
INITIAL_WEBSOCKET_PORT, INITIAL_WEBSOCKET_PORT + TRY_NUM_PORTS))
|
||||
|
||||
start_server = websockets.serve(self.communicate, LOCALHOST_IP, INITIAL_WEBSOCKET_PORT + i)
|
||||
self._set_socket_port_in_js(output_directory, INITIAL_WEBSOCKET_PORT + i)
|
||||
|
||||
if share_link:
|
||||
site_ngrok_url = networking.setup_ngrok(server_port)
|
||||
socket_ngrok_url = networking.setup_ngrok(INITIAL_WEBSOCKET_PORT, api_url=networking.NGROK_TUNNELS_API_URL2)
|
||||
self._set_socket_url_in_js(output_directory, socket_ngrok_url)
|
||||
print("NOTE: Gradio is in beta stage, please report all bugs to: a12d@stanford.edu")
|
||||
print("Model available locally at: {}".format(path_to_server + TEMPLATE_TEMP))
|
||||
print("Model available publicly for 8 hours at: {}".format(site_ngrok_url + '/' + TEMPLATE_TEMP))
|
||||
asyncio.get_event_loop().run_until_complete(start_server)
|
||||
try:
|
||||
asyncio.get_event_loop().run_forever()
|
||||
except RuntimeError: # Runtime errors are thrown in jupyter notebooks because of async.
|
||||
pass
|
||||
|
||||
webbrowser.open(path_to_server + TEMPLATE_TEMP)
|
||||
Loading…
Reference in New Issue
Block a user