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1.5.3

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Abubakar Abid 2021-01-29 14:19:16 -06:00
commit f7e8498a6d
12 changed files with 95 additions and 80 deletions
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6
README.md
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@ -1,5 +1,7 @@
[![CircleCI](https://circleci.com/gh/gradio-app/gradio.svg?style=svg)](https://circleci.com/gh/gradio-app/gradio) [![PyPI version](https://badge.fury.io/py/gradio.svg)](https://badge.fury.io/py/gradio)
**Note: We just launched Hosted, where anyone can upload their interface for permanent hosting. [Check it out](https://gradio.app/introducing-hosted)!**
# Welcome to Gradio
Quickly create customizable UI components around your models. Gradio makes it easy for you to "play around" with your model in your browser by dragging-and-dropping in your own images, pasting your own text, recording your own voice, etc. and seeing what the model outputs.
@ -246,7 +248,7 @@ Links expire after 6 hours. Need longer links, or private links? [Contact us fo
### Permanent Hosting
You can share your interface publicly and permanently by hosting on Gradio's infrastructure. You will need to create a Gradio premium account. First, log into Gradio on [gradio.app](https://gradio.app) and click Sign In at the top. Once you've logged in with your Github account, you can specify which repositories from your Github profile you'd like to have hosted by Gradio. You must also specify the file within the repository that runs the Gradio `launch()` command. Once you've taken these steps, Gradio will launch your interface on a URL of the format **XXXXXX.gradio.app** where **XXXXXX** is any string you specify.
You can share your interface publicly and permanently through [Hosted](https://gradio.app/hosted), read more in our (introductury post)[https://gradio.app/introducing-hosted]. You will need to create a Gradio account. Just go to [gradio.app/hosted](https://gradio.app/hosted) and sign in through Github. Once you've logged in, you can specify which repositories from your Github profile you'd like to have hosted by Gradio. You must also specify the file within the repository that runs the Gradio `launch()` command. Once you've taken these steps, Gradio will launch your interface and provide a public link you can share. Hosted costs $7/month. Deploy one interface for free in February using the FEBRUARY promo code.
## Contributing:
@ -269,4 +271,4 @@ author={Abid, Abubakar and Abdalla, Ali and Abid, Ali and Khan, Dawood and Alfoz
journal={arXiv preprint arXiv:1906.02569},
year={2019}
}
```
```

2
demo/calculator.py
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@ -19,7 +19,7 @@ iface = gr.Interface(calculator,
[4, "divide", 2],
[-4, "multiply", 2.5],
[0, "subtract", 1.2],
]
],
)
if __name__ == "__main__":

2
demo/image_classifier.py
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@ -37,4 +37,4 @@ iface = gr.Interface(image_classifier, image, label,
])
if __name__ == "__main__":
iface.launch(share=True)
iface.launch()

2
gradio.egg-info/PKG-INFO
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@ -1,6 +1,6 @@
Metadata-Version: 1.0
Name: gradio
Version: 1.5.1
Version: 1.5.3
Summary: Python library for easily interacting with trained machine learning models
Home-page: https://github.com/gradio-app/gradio-UI
Author: Abubakar Abid

11
gradio/inputs.py
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@ -713,6 +713,17 @@ class Image(InputComponent):
im = processing_utils.resize_and_crop(im, (shape[0], shape[1]))
return np.asarray(im).flatten()
def rebuild(self, dir, data):
"""
Default rebuild method to decode a base64 image
"""
im = processing_utils.decode_base64_to_image(data)
timestamp = datetime.datetime.now()
filename = f'input_{timestamp.strftime("%Y-%m-%d-%H-%M-%S")}.png'
im.save(f'{dir}/{filename}', 'PNG')
return filename
class Video(InputComponent):
"""
Component creates a video file upload that is converted to a file path.

16
gradio/interface.py
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@ -140,7 +140,7 @@ class Interface:
self.server_port = server_port
self.simple_server = None
self.allow_screenshot = allow_screenshot
self.allow_flagging = allow_flagging
self.allow_flagging = os.getenv("GRADIO_FLAGGING") or allow_flagging
self.flagging_dir = flagging_dir
Interface.instances.add(self)
self.analytics_enabled=analytics_enabled
@ -172,16 +172,7 @@ class Interface:
pass
if self.allow_flagging:
if self.title is not None:
dir_name = "_".join(self.title.split(" "))
else:
dir_name = "_".join([fn.__name__ for fn in self.predict])
index = 1
while os.path.exists(self.flagging_dir + "/" + dir_name +
"_{}".format(index)):
index += 1
self.flagging_dir = self.flagging_dir + "/" + dir_name + \
"_{}".format(index)
os.makedirs(self.flagging_dir, exist_ok=True)
if self.analytics_enabled:
try:
@ -393,8 +384,7 @@ class Interface:
# Set up local flask server
config = self.get_config_file()
networking.set_config(config)
networking.set_meta_tags(self.title, self.description, self.thumbnail)
self.config = config
self.auth = auth
# Launch local flask server

99
gradio/networking.py
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@ -5,7 +5,7 @@ Defines helper methods useful for setting up ports, launching servers, and handl
import os
import socket
import threading
from flask import Flask, request, jsonify, abort, send_file, render_template
from flask import Flask, request, jsonify, abort, send_file, render_template, redirect
from flask_cachebuster import CacheBuster
from flask_basicauth import BasicAuth
from flask_cors import CORS
@ -44,24 +44,11 @@ app = Flask(__name__,
CORS(app)
cache_buster = CacheBuster(config={'extensions': ['.js', '.css'], 'hash_size': 5})
cache_buster.init_app(app)
app.app_globals = {}
# Hide Flask default message
cli = sys.modules['flask.cli']
cli.show_server_banner = lambda *x: None
def set_meta_tags(title, description, thumbnail):
app.app_globals.update({
"title": title,
"description": description,
"thumbnail": thumbnail
})
def set_config(config):
app.app_globals["config"] = config
def get_local_ip_address():
try:
ip_address = requests.get('https://api.ipify.org').text
@ -96,24 +83,43 @@ def get_first_available_port(initial, final):
@app.route("/", methods=["GET"])
def main():
return render_template("index.html",
title=app.app_globals["title"],
description=app.app_globals["description"],
thumbnail=app.app_globals["thumbnail"],
config=app.interface.config,
vendor_prefix=(GRADIO_STATIC_ROOT if app.interface.share else ""),
css=app.interface.css
css=app.interface.css,
)
@app.route("/from_dir", methods=["GET"])
def main_from_flagging_dir():
return redirect("/from_dir/" + app.interface.flagging_dir)
@app.route("/from_dir/<path:path>", methods=["GET"])
def main_from_dir(path):
log_file = os.path.join(path, "log.csv")
if not os.path.exists(log_file):
abort(404)
with open(log_file) as logs:
examples = list(csv.reader(logs))
examples = examples[1:] #remove header
input_examples = [example[:len(app.interface.input_interfaces)] for example in examples]
return render_template("index.html",
config=app.interface.config,
vendor_prefix=(GRADIO_STATIC_ROOT if app.interface.share else ""),
css=app.interface.css,
path=path,
examples=input_examples
)
@app.route("/config/", methods=["GET"])
def config():
return jsonify(app.app_globals["config"])
return jsonify(app.interface.config)
@app.route("/enable_sharing/<path:path>", methods=["GET"])
def enable_sharing(path):
if path == "None":
path = None
app.app_globals["config"]["share_url"] = path
app.interface.config["share_url"] = path
return jsonify(success=True)
@ -122,6 +128,11 @@ def predict():
raw_input = request.json["data"]
prediction, durations = app.interface.process(raw_input)
output = {"data": prediction, "durations": durations}
if app.interface.allow_flagging == "auto":
try:
flag_data(raw_input)
except:
pass
return jsonify(output)
def log_feature_analytics(feature):
@ -206,41 +217,29 @@ def predict_examples():
return jsonify(output)
@app.route("/api/flag/", methods=["POST"])
def flag():
log_feature_analytics('flag')
def flag_data(data):
flag_path = os.path.join(app.cwd, app.interface.flagging_dir)
os.makedirs(flag_path,
exist_ok=True)
output = {'inputs': [app.interface.input_interfaces[
i].rebuild(
flag_path, request.json['data']['input_data'][i]) for i
in range(len(app.interface.input_interfaces))],
'outputs': [app.interface.output_interfaces[
i].rebuild(
flag_path, request.json['data']['output_data'][i])
for i
in range(len(app.interface.output_interfaces))]}
output = [app.interface.input_interfaces[i].rebuild(
flag_path, component_data)
for i, component_data in enumerate(data)]
log_fp = "{}/log.csv".format(flag_path)
is_new = not os.path.exists(log_fp)
with open(log_fp, "a") as csvfile:
headers = ["input_{}".format(i) for i in range(len(
output["inputs"]))] + ["output_{}".format(i) for i in
range(len(output["outputs"]))]
writer = csv.DictWriter(csvfile, delimiter=',',
lineterminator='\n',
fieldnames=headers)
writer = csv.writer(csvfile)
if is_new:
writer.writeheader()
headers = [interface[1]["label"] for interface in app.interface.config["input_interfaces"]]
writer.writerow(headers)
writer.writerow(
dict(zip(headers, output["inputs"] +
output["outputs"]))
)
return jsonify(success=True)
writer.writerow(output)
@app.route("/api/flag/", methods=["POST"])
def flag():
log_feature_analytics('flag')
data = request.json['data']['input_data']
flag_data(data)
return jsonify(success=True)
@app.route("/api/interpret/", methods=["POST"])
@ -265,9 +264,9 @@ def start_server(interface, server_name, server_port=None, auth=None):
server_port, server_port + TRY_NUM_PORTS
)
if auth is not None:
app.config['BASIC_AUTH_USERNAME'] = auth[0]
app.config['BASIC_AUTH_PASSWORD'] = auth[1]
app.config['BASIC_AUTH_FORCE'] = True
app.interface.config['BASIC_AUTH_USERNAME'] = auth[0]
app.interface.config['BASIC_AUTH_PASSWORD'] = auth[1]
app.interface.config['BASIC_AUTH_FORCE'] = True
basic_auth = BasicAuth(app)
app.interface = interface
app.cwd = os.getcwd()

10
gradio/outputs.py
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@ -186,6 +186,16 @@ class Image(OutputComponent):
raise ValueError("Unknown type: " + dtype + ". Please choose from: 'numpy', 'pil', 'file', 'plot'.")
return out_y, coordinates
def rebuild(self, dir, data):
"""
Default rebuild method to decode a base64 image
"""
im = processing_utils.decode_base64_to_image(data)
timestamp = datetime.datetime.now()
filename = 'output_{}_{}.png'.format(self.label, timestamp.strftime("%Y-%m-%d-%H-%M-%S"))
im.save('{}/{}'.format(dir, filename), 'PNG')
return filename
class Video(OutputComponent):
'''
Used for video output.

4
gradio/static/js/gradio.js
View File

@ -205,13 +205,13 @@ function gradio(config, fn, target, example_file_path) {
if (!config["allow_embedding"]) {
target.find(".embedding").css("visibility", "hidden");
}
if (!config["allow_screenshot"] && !config["allow_flagging"] && !config["allow_interpretation"]) {
if (!config["allow_screenshot"] && config["allow_flagging"] !== true && !config["allow_interpretation"]) {
target.find(".screenshot, .record, .flag, .interpret").css("visibility", "hidden");
} else {
if (!config["allow_screenshot"]) {
target.find(".screenshot, .record").hide();
}
if (!config["allow_flagging"]) {
if (config["allow_flagging"] !== true) {
target.find(".flag").hide();
}
if (!config["allow_interpretation"]) {

17
gradio/templates/index.html
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@ -19,14 +19,14 @@
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta property="og:url" content="https://gradio.app/" />
<meta property="og:type" content="website" />
<meta property="og:image" content="{{thumbnail}}" />
<meta property="og:title" content="{{title}}" />
<meta property="og:description" content="{{description}}" />
<meta property="og:image" content="{{ config['thumbnail'] or '' }}" />
<meta property="og:title" content="{{ config['title'] or '' }}" />
<meta property="og:description" content="{{ config['description'] or '' }}" />
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:creator" content="@teamGradio">
<meta name="twitter:title" content="{{title}}">
<meta name="twitter:description" content="{{description}}">
<meta name="twitter:image" content="{{thumbnail}}">
<meta name="twitter:title" content="{{ config['title'] or '' }}">
<meta name="twitter:description" content="{{ config['description'] or '' }}">
<meta name="twitter:image" content="{{ config['thumbnail'] or '' }}">
<title>Gradio</title>
<link href="https://fonts.googleapis.com/css?family=Open+Sans" rel="stylesheet">
@ -127,7 +127,10 @@
<script src="{{ url_for('static', filename='js/gradio.js') }}"></script>
<script>
$.getJSON("/config/", function(config) {
io = gradio_url(config, "/api/", "#interface_target", "/file/");
{% if examples %}
config["examples"] = {{ examples|tojson }}
{% endif %}
io = gradio_url(config, "/api/", "#interface_target", "/file/{% if path %}{{ path }}/{% endif %}");
});
const copyToClipboard = str => {
const el = document.createElement('textarea');

4
readme_template.md
View File

@ -126,7 +126,7 @@ Links expire after 6 hours. Need longer links, or private links? [Contact us fo
### Permanent Hosting
You can share your interface publicly and permanently by hosting on Gradio's infrastructure. You will need to create a Gradio premium account. First, log into Gradio on [gradio.app](https://gradio.app) and click Sign In at the top. Once you've logged in with your Github account, you can specify which repositories from your Github profile you'd like to have hosted by Gradio. You must also specify the file within the repository that runs the Gradio `launch()` command. Once you've taken these steps, Gradio will launch your interface on a URL of the format **XXXXXX.gradio.app** where **XXXXXX** is any string you specify.
You can share your interface publicly and permanently by hosting on Gradio's infrastructure. You will need to create a Gradio premium account. First, log into Gradio on [gradio.app](https://gradio.app) and click Sign In at the top. Once you've logged in with your Github account, you can specify which repositories from your Github profile you'd like to have hosted by Gradio. You must also specify the file within the repository that runs the Gradio `launch()` command. Once you've taken these steps, Gradio will launch your interface and provide a public link you can share.
## Contributing:
@ -149,4 +149,4 @@ author={Abid, Abubakar and Abdalla, Ali and Abid, Ali and Khan, Dawood and Alfoz
journal={arXiv preprint arXiv:1906.02569},
year={2019}
}
```
```

2
setup.py
View File

@ -5,7 +5,7 @@ except ImportError:
setup(
name='gradio',
version='1.5.1',
version='1.5.3',
include_package_data=True,
description='Python library for easily interacting with trained machine learning models',
author='Abubakar Abid',