mirror of
https://github.com/gradio-app/gradio.git
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Merge branch 'master' of github.com:gradio-app/gradio-UI
This commit is contained in:
aliabd
commit
cc3b95ca38
@ -20,13 +20,11 @@ from IPython import get_ipython
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import sys
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import weakref
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import analytics
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import socket
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PKG_VERSION_URL = "https://gradio.app/api/pkg-version"
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analytics.write_key = "uxIFddIEuuUcFLf9VgH2teTEtPlWdkNy"
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analytics_url = 'https://api.gradio.app/'
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hostname = socket.gethostname()
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try:
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ip_address = requests.get('https://api.ipify.org').text
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except requests.ConnectionError:
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@ -104,15 +102,22 @@ class Interface:
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'saliency': saliency,
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'live': live,
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'capture_session': capture_session,
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'host_name': hostname,
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'ip_address': ip_address
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}
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if self.capture_session:
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try:
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import tensorflow as tf
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self.session = tf.get_default_graph(), \
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tf.keras.backend.get_session()
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except (ImportError, AttributeError): # If they are using TF >= 2.0 or don't have TF, just ignore this.
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pass
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try:
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print("try initiated")
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requests.post(analytics_url + 'gradio-initiated-analytics/',
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data=data)
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except requests.ConnectionError:
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print("gradio-initiated-analytics/ Connection Error")
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pass # do not push analytics if no network
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def get_config_file(self):
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config = {
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@ -144,7 +149,6 @@ class Interface:
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return config
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def process(self, raw_input):
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processed_input = [input_interface.preprocess(
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raw_input[i]) for i, input_interface in
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@ -214,7 +218,7 @@ class Interface:
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requests.post(analytics_url + 'gradio-error-analytics/',
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data=data)
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except requests.ConnectionError:
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print("gradio-error-analytics/ Connection Error")
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pass # do not push analytics if no network
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if self.verbose:
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print("\n----------")
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print(
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@ -230,7 +234,7 @@ class Interface:
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requests.post(analytics_url + 'gradio-error-analytics/',
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data=data)
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except requests.ConnectionError:
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print("gradio-error-analytics/ Connection Error")
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pass # do not push analytics if no network
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if self.verbose:
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print("\n----------")
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print(
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@ -262,14 +266,6 @@ class Interface:
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# if validate and not self.validate_flag:
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# self.validate()
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if self.capture_session:
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try:
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import tensorflow as tf
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self.session = tf.get_default_graph(), \
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tf.keras.backend.get_session()
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except (ImportError, AttributeError): # If they are using TF >= 2.0 or don't have TF, just ignore this.
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pass
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output_directory = tempfile.mkdtemp()
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# Set up a port to serve the directory containing the static files with interface.
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server_port, httpd = networking.start_simple_server(self, output_directory, self.server_name)
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@ -291,7 +287,7 @@ class Interface:
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requests.post(analytics_url + 'gradio-error-analytics/',
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data=data)
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except requests.ConnectionError:
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print("Connection Error")
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pass # do not push analytics if no network
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pass
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try:
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@ -325,7 +321,7 @@ class Interface:
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requests.post(analytics_url + 'gradio-error-analytics/',
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data=data)
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except requests.ConnectionError:
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print("Connection Error")
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pass # do not push analytics if no network
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share_url = None
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if self.verbose:
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print(strings.en["NGROK_NO_INTERNET"])
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@ -397,14 +393,13 @@ class Interface:
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'is_google_colab': is_colab,
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'is_sharing_on': share,
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'share_url': share_url,
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'host_name': hostname,
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'ip_address': ip_address
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}
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try:
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requests.post(analytics_url + 'gradio-launched-analytics/',
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data=data)
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except requests.ConnectionError:
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print("Connection Error")
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pass # do not push analytics if no network
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return httpd, path_to_local_server, share_url
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@classmethod
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@ -1,6 +1,6 @@
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Metadata-Version: 1.0
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Name: gradio
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Version: 0.9.9.7
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Version: 0.9.9.9
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Summary: Python library for easily interacting with trained machine learning models
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Home-page: https://github.com/gradio-app/gradio-UI
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Author: Abubakar Abid
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@ -20,13 +20,11 @@ from IPython import get_ipython
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import sys
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import weakref
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import analytics
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import socket
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PKG_VERSION_URL = "https://gradio.app/api/pkg-version"
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analytics.write_key = "uxIFddIEuuUcFLf9VgH2teTEtPlWdkNy"
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analytics_url = 'https://api.gradio.app/'
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hostname = socket.gethostname()
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try:
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ip_address = requests.get('https://api.ipify.org').text
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except requests.ConnectionError:
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@ -104,15 +102,22 @@ class Interface:
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'saliency': saliency,
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'live': live,
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'capture_session': capture_session,
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'host_name': hostname,
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'ip_address': ip_address
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}
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if self.capture_session:
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try:
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import tensorflow as tf
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self.session = tf.get_default_graph(), \
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tf.keras.backend.get_session()
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except (ImportError, AttributeError): # If they are using TF >= 2.0 or don't have TF, just ignore this.
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pass
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try:
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print("try initiated")
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requests.post(analytics_url + 'gradio-initiated-analytics/',
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data=data)
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except requests.ConnectionError:
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print("gradio-initiated-analytics/ Connection Error")
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pass # do not push analytics if no network
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def get_config_file(self):
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config = {
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@ -144,7 +149,6 @@ class Interface:
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return config
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def process(self, raw_input):
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processed_input = [input_interface.preprocess(
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raw_input[i]) for i, input_interface in
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@ -214,7 +218,7 @@ class Interface:
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requests.post(analytics_url + 'gradio-error-analytics/',
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data=data)
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except requests.ConnectionError:
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print("gradio-error-analytics/ Connection Error")
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pass # do not push analytics if no network
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if self.verbose:
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print("\n----------")
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print(
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@ -230,7 +234,7 @@ class Interface:
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requests.post(analytics_url + 'gradio-error-analytics/',
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data=data)
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except requests.ConnectionError:
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print("gradio-error-analytics/ Connection Error")
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pass # do not push analytics if no network
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if self.verbose:
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print("\n----------")
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print(
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@ -262,14 +266,6 @@ class Interface:
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# if validate and not self.validate_flag:
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# self.validate()
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if self.capture_session:
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try:
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import tensorflow as tf
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self.session = tf.get_default_graph(), \
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tf.keras.backend.get_session()
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except (ImportError, AttributeError): # If they are using TF >= 2.0 or don't have TF, just ignore this.
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pass
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output_directory = tempfile.mkdtemp()
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# Set up a port to serve the directory containing the static files with interface.
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server_port, httpd = networking.start_simple_server(self, output_directory, self.server_name)
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@ -291,7 +287,7 @@ class Interface:
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requests.post(analytics_url + 'gradio-error-analytics/',
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data=data)
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except requests.ConnectionError:
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print("Connection Error")
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pass # do not push analytics if no network
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pass
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try:
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@ -325,7 +321,7 @@ class Interface:
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requests.post(analytics_url + 'gradio-error-analytics/',
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data=data)
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except requests.ConnectionError:
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print("Connection Error")
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pass # do not push analytics if no network
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share_url = None
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if self.verbose:
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print(strings.en["NGROK_NO_INTERNET"])
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@ -398,14 +394,13 @@ class Interface:
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'is_google_colab': is_colab,
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'is_sharing_on': share,
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'share_url': share_url,
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'host_name': hostname,
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'ip_address': ip_address
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}
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try:
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requests.post(analytics_url + 'gradio-launched-analytics/',
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data=data)
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except requests.ConnectionError:
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print("Connection Error")
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pass # do not push analytics if no network
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return httpd, path_to_local_server, share_url
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@classmethod
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@ -15,6 +15,7 @@ import urllib.request
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from shutil import copyfile
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import requests
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import sys
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import analytics
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INITIAL_PORT_VALUE = (
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@ -38,6 +39,8 @@ ASSOCIATION_PATH_IN_ROOT = "apple-app-site-association"
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FLAGGING_DIRECTORY = 'static/flagged/'
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FLAGGING_FILENAME = 'data.txt'
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analytics.write_key = "uxIFddIEuuUcFLf9VgH2teTEtPlWdkNy"
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analytics_url = 'https://api.gradio.app/'
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def build_template(temp_dir):
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@ -159,6 +162,15 @@ def serve_files_in_background(interface, port, directory_to_serve=None, server_n
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# Prepare return json dictionary.
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self.wfile.write(json.dumps(output).encode())
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data = {'input_interface': interface.input_interfaces,
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'output_interface': interface.output_interfaces,
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}
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try:
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requests.post(
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analytics_url + 'gradio-prediction-analytics/',
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data=data)
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except requests.ConnectionError:
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pass # do not push analytics if no network
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elif self.path == "/api/flag/":
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self._set_headers()
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