removed validate

gradio.egg-info/SOURCES.txt

@@ -10,7 +10,6 @@ gradio/outputs.py
 gradio/preprocessing_utils.py
 gradio/strings.py
 gradio/tunneling.py
-gradio/validation_data.py
 gradio.egg-info/PKG-INFO
 gradio.egg-info/SOURCES.txt
 gradio.egg-info/dependency_links.txt

gradio/inputs.py

@@ -15,7 +15,7 @@ import numpy as np
 import PIL.Image
 import PIL.ImageOps
 import scipy.io.wavfile
-from gradio import preprocessing_utils, validation_data
+from gradio import preprocessing_utils
 
 # Where to find the static resources associated with each template.
 # BASE_INPUT_INTERFACE_TEMPLATE_PATH = 'static/js/interfaces/input/{}.js'
@@ -31,13 +31,6 @@ class AbstractInput(ABC):
     def __init__(self, label):
         self.label = label
 
-    def get_validation_inputs(self):
-        """
-        An interface can optionally implement a method that returns a list of examples inputs that it should be able to
-        accept and preprocess for validation purposes.
-        """
-        return []
-
     def get_template_context(self):
         """
         :return: a dictionary with context variables for the javascript file associated with the context
@@ -258,9 +251,6 @@ class Image(AbstractInput):
         self.image_mode = image_mode
         super().__init__(label)
 
-    def get_validation_inputs(self):
-        return validation_data.BASE64_COLOR_IMAGES
-
     @classmethod
     def get_shortcut_implementations(cls):
         return {
@@ -384,9 +374,6 @@ class Webcam(AbstractInput):
         self.num_channels = 3
         super().__init__(label)
 
-    def get_validation_inputs(self):
-        return validation_data.BASE64_COLOR_IMAGES
-
     @classmethod
     def get_shortcut_implementations(cls):
         return {

gradio/interface.py

@@ -209,82 +209,16 @@ class Interface:
             predictions[i]) for i, output_interface in enumerate(self.output_interfaces)]
         return processed_output, durations
 
-    def validate(self):
-        if self.validate_flag:
-            if self.verbose:
-                print("Interface already validated")
-            return
-        validation_inputs = self.input_interface.get_validation_inputs()
-        n = len(validation_inputs)
-        if n == 0:
-            self.validate_flag = True
-            if self.verbose:
-                print(
-                    "No validation samples for this interface... skipping validation."
-                )
-            return
-        for m, msg in enumerate(validation_inputs):
-            if self.verbose:
-                print(
-                    "Validating samples: {}/{}  [".format(m+1, n)
-                    + "=" * (m + 1)
-                    + "." * (n - m - 1)
-                    + "]",
-                    end="\r",
-                )
-            try:
-                processed_input = self.input_interface.preprocess(msg)
-                prediction = self.predict(processed_input)
-            except Exception as e:
-                data = {'error': e}
-                try:
-                    requests.post(analytics_url + 'gradio-error-analytics/',
-                              data=data)
-                except requests.ConnectionError:
-                    pass  # do not push analytics if no network
-                if self.verbose:
-                    print("\n----------")
-                    print(
-                        "Validation failed, likely due to incompatible pre-processing and model input. See below:\n"
-                    )
-                    print(traceback.format_exc())
-                break
-            try:
-                _ = self.output_interface.postprocess(prediction)
-            except Exception as e:
-                data = {'error': e}
-                try:
-                    requests.post(analytics_url + 'gradio-error-analytics/',
-                                  data=data)
-                except requests.ConnectionError:
-                    pass  # do not push analytics if no network
-                if self.verbose:
-                    print("\n----------")
-                    print(
-                        "Validation failed, likely due to incompatible model output and post-processing."
-                        "See below:\n"
-                    )
-                    print(traceback.format_exc())
-                break
-        else:  # This means if a break was not explicitly called
-            self.validate_flag = True
-            if self.verbose:
-                print("\n\nValidation passed successfully!")
-            return
-        raise RuntimeError("Validation did not pass")
-
     def close(self):
         if self.simple_server and not(self.simple_server.fileno() == -1):  # checks to see if server is running
             print("Closing Gradio server on port {}...".format(self.server_port))
             networking.close_server(self.simple_server)
 
-    def launch(self, inline=None, inbrowser=None, share=False, validate=True, debug=False):
+    def launch(self, inline=None, inbrowser=None, share=False, debug=False):
         """
         Parameters
         share (bool): whether to create a publicly shareable link from your computer for the interface.
         """
-        # if validate and not self.validate_flag:
-        #     self.validate()
 
         output_directory = tempfile.mkdtemp()
         # Set up a port to serve the directory containing the static files with interface.