changes

build/lib/gradio/inputs.py

@@ -40,12 +40,6 @@ class AbstractInput(ABC):
         """
         return {"label": self.label}
 
-    def sample_inputs(self):
-        """
-        An interface can optionally implement a method that sends a list of sample inputs for inference.
-        """
-        return []
-
     def preprocess(self, inp):
         """
         By default, no pre-processing is applied to text.
@@ -67,17 +61,12 @@ class AbstractInput(ABC):
 
 
 class Sketchpad(AbstractInput):
-    def __init__(self, cast_to="numpy", shape=(28, 28), invert_colors=True,
-                 flatten=False, scale=1/255, shift=0,
-                 dtype='float64', sample_inputs=None, label=None):
+    def __init__(self, shape=(28, 28), invert_colors=True,
+                 flatten=False, label=None):
         self.image_width = shape[0]
         self.image_height = shape[1]
         self.invert_colors = invert_colors
         self.flatten = flatten
-        self.scale = scale
-        self.shift = shift
-        self.dtype = dtype
-        self.sample_inputs = sample_inputs
         super().__init__(label)
 
     @classmethod
@@ -101,8 +90,6 @@ class Sketchpad(AbstractInput):
             array = np.array(im).flatten().reshape(1, self.image_width * self.image_height)
         else:
             array = np.array(im).flatten().reshape(1, self.image_width, self.image_height)
-        array = array * self.scale + self.shift
-        array = array.astype(self.dtype)
         return array
 
     def process_example(self, example):
@@ -136,8 +123,7 @@ class Webcam(AbstractInput):
 
 
 class Textbox(AbstractInput):
-    def __init__(self, sample_inputs=None, lines=1, placeholder=None, default=None, label=None, numeric=False):
-        self.sample_inputs = sample_inputs
+    def __init__(self, lines=1, placeholder=None, default=None, numeric=False, label=None):
         self.lines = lines
         self.placeholder = placeholder
         self.default = default
@@ -227,7 +213,7 @@ class Slider(AbstractInput):
     @classmethod
     def get_shortcut_implementations(cls):
         return {
-            "checkbox": {},
+            "slider": {},
         }
 
 
@@ -243,8 +229,7 @@ class Checkbox(AbstractInput):
 
 
 class Image(AbstractInput):
-    def __init__(self, cast_to=None, shape=(224, 224), image_mode='RGB', label=None):
-        self.cast_to = cast_to
+    def __init__(self, shape=(224, 224), image_mode='RGB', label=None):
         self.image_width = shape[0]
         self.image_height = shape[1]
         self.image_mode = image_mode
@@ -264,29 +249,10 @@ class Image(AbstractInput):
             **super().get_template_context()
         }
 
-    def cast_to_base64(self, inp):
-        return inp
-
-    def cast_to_im(self, inp):
-        return preprocessing_utils.decode_base64_to_image(inp)
-
-    def cast_to_numpy(self, inp):
-        im = self.cast_to_im(inp)
-        arr = np.array(im).flatten()
-        return arr
-
     def preprocess(self, inp):
         """
         Default preprocessing method for is to convert the picture to black and white and resize to be 48x48
         """
-        cast_to_type = {
-            "base64": self.cast_to_base64,
-            "numpy": self.cast_to_numpy,
-            "pillow": self.cast_to_im
-        }
-        if self.cast_to:
-            return cast_to_type[self.cast_to](inp)
-
         im = preprocessing_utils.decode_base64_to_image(inp)
         with warnings.catch_warnings():
             warnings.simplefilter("ignore")
@@ -303,6 +269,8 @@ class Image(AbstractInput):
 
 
 class Microphone(AbstractInput):
+    def __init__(self, label=None):
+        super().__init__(label)
 
     def preprocess(self, inp):
         """

build/lib/gradio/outputs.py

@@ -10,6 +10,7 @@ import json
 from gradio import preprocessing_utils
 import datetime
 import operator
+from numbers import Number
 
 # Where to find the static resources associated with each template.
 BASE_OUTPUT_INTERFACE_JS_PATH = 'static/js/interfaces/output/{}.js'
@@ -53,7 +54,7 @@ class Label(AbstractOutput):
         super().__init__(label)
 
     def postprocess(self, prediction):
-        if isinstance(prediction, str):
+        if isinstance(prediction, str) or isinstance(prediction, Number):
             return {"label": prediction}
         elif isinstance(prediction, dict):
             sorted_pred = sorted(
@@ -104,15 +105,11 @@ class KeyValues(AbstractOutput):
 
 
 class Textbox(AbstractOutput):
-    def __init__(self, lines=1, placeholder=None, label=None):
-        self.lines = lines
-        self.placeholder = placeholder
+    def __init__(self, label=None):
         super().__init__(label)
 
     def get_template_context(self):
         return {
-            "lines": self.lines,
-            "placeholder": self.placeholder,
             **super().get_template_context()
         }
 
@@ -121,7 +118,6 @@ class Textbox(AbstractOutput):
         return {
             "text": {},
             "number": {},
-            "textbox": {"lines": 7}
         }
 
     def postprocess(self, prediction):
@@ -133,7 +129,7 @@ class Textbox(AbstractOutput):
 
 
 class Image(AbstractOutput):
-    def __init__(self, label=None, plot=False):
+    def __init__(self, plot=False, label=None):
         self.plot = plot
         super().__init__(label)
 

build/lib/gradio/static/css/interfaces/output/textbox.css

@@ -1,5 +1,4 @@
 .output_text {
-  resize: none;
   width: 100%;
   font-size: 18px;
   outline: none;
@@ -8,4 +7,6 @@
   border: solid 1px black;
   box-sizing: border-box;
   padding: 4px;
+  min-height: 30px;
+  font-family: monospace;
 }

build/lib/gradio/static/js/all_io.js

@@ -47,7 +47,11 @@ var io_master_template = {
     }
 
     if (this.config.live) {
-      this.gather();
+      var io = this;
+      var refresh_lag = this.config.refresh_lag || 0;
+      window.setTimeout(function() {
+        io.gather();
+      }, refresh_lag);
     } else {
       this.target.find(".loading").addClass("invisible");
       this.target.find(".output_interface").removeClass("invisible");

build/lib/gradio/static/js/all_io.js.bak

@@ -0,0 +1,73 @@
+var io_master_template = {
+  gather: function() {
+    this.clear();
+    for (let iface of this.input_interfaces) {
+      iface.submit();
+    }
+  },
+  clear: function() {
+    this.last_input = new Array(this.input_interfaces.length);
+    this.input_count = 0;
+  },
+  input: function(interface_id, data) {
+    this.last_input[interface_id] = data;
+    this.input_count += 1;
+    if (this.input_count == this.input_interfaces.length) {
+      this.submit();
+    }
+  },
+  submit: function() {
+    let io = this;
+    if (!this.config.live) {
+      this.target.find(".loading").removeClass("invisible");
+      this.target.find(".loading_in_progress").show();
+      this.target.find(".loading_failed").hide();
+      this.target.find(".output_interface").addClass("invisible");
+      this.target.find(".output_interfaces .panel_header").addClass("invisible");
+    }
+    this.fn(this.last_input).then((output) => {
+      io.output(output);
+    }).catch((error) => {
+      console.error(error);
+      this.target.find(".loading_in_progress").hide();
+      this.target.find(".loading_failed").show();
+    })
+  },
+  output: function(data) {
+    this.last_output = data["data"];
+
+    for (let i = 0; i < this.output_interfaces.length; i++) {
+      this.output_interfaces[i].output(data["data"][i]);
+    }
+    if (data["durations"]) {
+      let ratio = this.output_interfaces.length / data["durations"].length;
+      for (let i = 0; i < this.output_interfaces.length; i = i + ratio) {
+        this.output_interfaces[i].target.parent().find(`.loading_time[interface="${i + ratio - 1}"]`).text("Latency: " + ((data["durations"][i / ratio])).toFixed(2) + "s");
+      }
+    }
+
+    if (this.config.live) {
+      this.gather();
+    } else {
+      this.target.find(".loading").addClass("invisible");
+      this.target.find(".output_interface").removeClass("invisible");
+      this.target.find(".output_interfaces .panel_header").removeClass("invisible");
+    }
+  },
+  flag: function(message) {
+    var post_data = {
+      'data': {
+        'input_data' : toStringIfObject(this.last_input) ,
+        'output_data' : toStringIfObject(this.last_output),
+        'message' : message
+      }
+    }
+    $.ajax({type: "POST",
+        url: "/api/flag/",
+        data: JSON.stringify(post_data),
+        success: function(output){
+            console.log("Flagging successful")
+        },
+    });
+  }
+};

build/lib/gradio/static/js/interfaces/output/textbox.js

@@ -1,13 +1,7 @@
 const textbox_output = {
-  html: `<textarea readonly class="output_text"></textarea>`,
+  html: `<div class="output_text"></div>`,
   init: function(opts) {
-    if (opts.lines) {
-      this.target.find(".output_text").attr("rows", opts.lines).css("height", "auto");
-      this.target.css("height", "auto");
-    }
-    if (opts.placeholder) {
-      this.target.find(".output_text").attr("placeholder", opts.placeholder)
-    }
+    this.target.css("height", "auto");
   },
   output: function(data) {
     this.target.find(".output_text").text(data);

gradio.egg-info/SOURCES.txt

@@ -50,6 +50,7 @@ gradio/static/img/vendor/icon-b.svg
 gradio/static/img/vendor/icon-c.svg
 gradio/static/img/vendor/icon-d.svg
 gradio/static/js/all_io.js
+gradio/static/js/all_io.js.bak
 gradio/static/js/gradio.js
 gradio/static/js/utils.js
 gradio/static/js/interfaces/input/checkbox.js

gradio.egg-info/requires.txt

@@ -4,4 +4,3 @@ paramiko
 scipy
 IPython
 scikit-image
-analytics

gradio/inputs.py

@@ -40,12 +40,6 @@ class AbstractInput(ABC):
         """
         return {"label": self.label}
 
-    def sample_inputs(self):
-        """
-        An interface can optionally implement a method that sends a list of sample inputs for inference.
-        """
-        return []
-
     def preprocess(self, inp):
         """
         By default, no pre-processing is applied to text.
@@ -67,17 +61,12 @@ class AbstractInput(ABC):
 
 
 class Sketchpad(AbstractInput):
-    def __init__(self, cast_to="numpy", shape=(28, 28), invert_colors=True,
-                 flatten=False, scale=1/255, shift=0,
-                 dtype='float64', sample_inputs=None, label=None):
+    def __init__(self, shape=(28, 28), invert_colors=True,
+                 flatten=False, label=None):
         self.image_width = shape[0]
         self.image_height = shape[1]
         self.invert_colors = invert_colors
         self.flatten = flatten
-        self.scale = scale
-        self.shift = shift
-        self.dtype = dtype
-        self.sample_inputs = sample_inputs
         super().__init__(label)
 
     @classmethod
@@ -101,8 +90,6 @@ class Sketchpad(AbstractInput):
             array = np.array(im).flatten().reshape(1, self.image_width * self.image_height)
         else:
             array = np.array(im).flatten().reshape(1, self.image_width, self.image_height)
-        array = array * self.scale + self.shift
-        array = array.astype(self.dtype)
         return array
 
     def process_example(self, example):
@@ -136,8 +123,7 @@ class Webcam(AbstractInput):
 
 
 class Textbox(AbstractInput):
-    def __init__(self, sample_inputs=None, lines=1, placeholder=None, default=None, label=None, numeric=False):
-        self.sample_inputs = sample_inputs
+    def __init__(self, lines=1, placeholder=None, default=None, numeric=False, label=None):
         self.lines = lines
         self.placeholder = placeholder
         self.default = default
@@ -227,7 +213,7 @@ class Slider(AbstractInput):
     @classmethod
     def get_shortcut_implementations(cls):
         return {
-            "checkbox": {},
+            "slider": {},
         }
 
 
@@ -283,6 +269,8 @@ class Image(AbstractInput):
 
 
 class Microphone(AbstractInput):
+    def __init__(self, label=None):
+        super().__init__(label)
 
     def preprocess(self, inp):
         """

gradio/outputs.py

@@ -10,6 +10,7 @@ import json
 from gradio import preprocessing_utils
 import datetime
 import operator
+from numbers import Number
 
 # Where to find the static resources associated with each template.
 BASE_OUTPUT_INTERFACE_JS_PATH = 'static/js/interfaces/output/{}.js'
@@ -53,7 +54,7 @@ class Label(AbstractOutput):
         super().__init__(label)
 
     def postprocess(self, prediction):
-        if isinstance(prediction, str):
+        if isinstance(prediction, str) or isinstance(prediction, Number):
             return {"label": prediction}
         elif isinstance(prediction, dict):
             sorted_pred = sorted(
@@ -104,15 +105,11 @@ class KeyValues(AbstractOutput):
 
 
 class Textbox(AbstractOutput):
-    def __init__(self, lines=1, placeholder=None, label=None):
-        self.lines = lines
-        self.placeholder = placeholder
+    def __init__(self, label=None):
         super().__init__(label)
 
     def get_template_context(self):
         return {
-            "lines": self.lines,
-            "placeholder": self.placeholder,
             **super().get_template_context()
         }
 
@@ -121,7 +118,6 @@ class Textbox(AbstractOutput):
         return {
             "text": {},
             "number": {},
-            "textbox": {"lines": 7}
         }
 
     def postprocess(self, prediction):
@@ -133,7 +129,7 @@ class Textbox(AbstractOutput):
 
 
 class Image(AbstractOutput):
-    def __init__(self, label=None, plot=False):
+    def __init__(self, plot=False, label=None):
         self.plot = plot
         super().__init__(label)
 

gradio/static/css/interfaces/output/textbox.css

@@ -1,5 +1,4 @@
 .output_text {
-  resize: none;
   width: 100%;
   font-size: 18px;
   outline: none;
@@ -8,4 +7,6 @@
   border: solid 1px black;
   box-sizing: border-box;
   padding: 4px;
+  min-height: 30px;
+  font-family: monospace;
 }

gradio/static/js/interfaces/output/textbox.js

@@ -1,13 +1,7 @@
 const textbox_output = {
-  html: `<textarea readonly class="output_text"></textarea>`,
+  html: `<div class="output_text"></div>`,
   init: function(opts) {
-    if (opts.lines) {
-      this.target.find(".output_text").attr("rows", opts.lines).css("height", "auto");
-      this.target.css("height", "auto");
-    }
-    if (opts.placeholder) {
-      this.target.find(".output_text").attr("placeholder", opts.placeholder)
-    }
+    this.target.css("height", "auto");
   },
   output: function(data) {
     this.target.find(".output_text").text(data);