demo changes

demo/diff_texts.py

@@ -1,5 +1,3 @@
-# Demo: (Textbox, Textbox) -> (HighlightedText)
-
 import gradio as gr
 from difflib import Differ
 

demo/digit_classifier.py

@@ -1,5 +1,3 @@
-# Demo: (Image) -> (Label)
-
 import tensorflow as tf
 import gradio
 import gradio as gr

demo/filter_records.py

@@ -1,5 +1,3 @@
-# Demo: (Dataframe, Dropdown) -> (Dataframe)
-
 import gradio as gr
 
 def filter_records(records, gender):

demo/fraud_detector.py

@@ -1,5 +1,3 @@
-# Demo: (Timeseries, CheckboxGroup, Slider) -> (Timeseries, Dataframe, Label)
-
 import gradio as gr
 import pandas as pd
 import random

demo/generate_tone.py

@@ -1,5 +1,3 @@
-# Demo: (Dropdown, Slider, Textbox) -> (Audio)
-
 import gradio as gr
 import numpy as np
 

demo/image_classifier.py

@@ -1,5 +1,3 @@
-# Demo: (Image) -> (Label)
-
 import gradio as gr
 import tensorflow as tf
 import numpy as np

demo/image_mod.py

@@ -1,5 +1,3 @@
-# Demo: (Image) -> (Image)
-
 import gradio as gr
 
 

demo/longest_word.py

@@ -1,5 +1,3 @@
-# Demo: (Textbox) -> (Label)
-
 import gradio as gr
 
 def longest_word(text):

demo/main_note.py

@@ -1,5 +1,3 @@
-# Demo: (Audio) -> (Label)
-
 import gradio as gr
 import numpy as np
 from scipy.fftpack import fft

demo/matrix_transpose.py

@@ -1,5 +1,3 @@
-# Demo: (Dataframe) -> (Dataframe)
-
 import gradio as gr
 import numpy as np
 

demo/reverse_audio.py

@@ -1,5 +1,3 @@
-# Demo: (Audio) -> (Audio)
-
 import gradio as gr
 import numpy as np
 

demo/sentence_builder.py

@@ -1,5 +1,3 @@
-# Demo: (Slider, Dropdown, Radio, CheckboxGroup, Checkbox) -> (Textbox)
-
 import gradio as gr
 
 def sentence_builder(quantity, animal, place, activity_list, morning):

demo/sentiment_analysis.py

@@ -1,5 +1,3 @@
-# Demo: (Textbox) -> (Label)
-
 import gradio as gr
 import nltk
 from nltk.sentiment.vader import SentimentIntensityAnalyzer

demo/spectogram.py

@@ -1,5 +1,3 @@
-# Demo: (Audio) -> (Image)
-
 import gradio as gr
 import matplotlib.pyplot as plt
 import numpy as np

demo/stock_forecast.py

@@ -1,5 +1,3 @@
-# Demo: (Radio, CheckboxGroup, Slider, Checkbox, Dropdown) -> (Image)
-
 import gradio as gr
 import matplotlib.pyplot as plt
 import numpy as np

demo/stop_sign_detection.py

@@ -1,5 +1,3 @@
-# Demo: (Image) -> (Image)
-
 import gradio as gr
 
 def detect(image):

demo/tax_calculator.py

@@ -1,5 +1,3 @@
-# Demo: (Number, Radio, Dataframe) -> (Textbox)
-
 import gradio as gr
 
 def tax_calculator(income, marital_status, assets):

demo/text_analysis.py

@@ -1,5 +1,3 @@
-# Demo: (Textbox) -> (HighlightedText, KeyValues, HTML)
-
 import spacy
 from spacy import displacy
 import gradio as gr

demo/titanic_survival.py

@@ -1,5 +1,3 @@
-# Demo: (Dropdown, Checkbox, Slider, CheckboxGroup, Number, Radio) -> (Label)
-
 import pandas as pd
 import numpy as np
 import sklearn
@@ -75,7 +73,7 @@ iface = gr.Interface(
         "checkbox",
         gr.inputs.Slider(0, 80),
         gr.inputs.CheckboxGroup(["Sibling", "Child"], label="Travelling with (select all)"),
-        gr.inputs.Number().interpret(delta_type="absolute", delta=5),
+        gr.inputs.Number(),
         gr.inputs.Radio(["S", "C", "Q"], type="index"),
     ],
     "label",

demo/utils/FCN8s_keras.py

@@ -22,12 +22,12 @@ def FCN(num_output=21, input_shape=(500, 500, 3)):
     
     def _crop(target_layer, offset=(None, None), name=None):
         """Crop the bottom such that it has the same shape as target_layer."""
-        """ Use _keras_shape to prevent undefined output shape in Conv2DTranspose"""
+        """ Use shape to prevent undefined output shape in Conv2DTranspose"""
         def f(x):
-            width = x._keras_shape[ROW_AXIS]
-            height = x._keras_shape[COL_AXIS]
-            target_width = target_layer._keras_shape[ROW_AXIS]
-            target_height = target_layer._keras_shape[COL_AXIS]
+            width = x.shape[ROW_AXIS]
+            height = x.shape[COL_AXIS]
+            target_width = target_layer.shape[ROW_AXIS]
+            target_height = target_layer.shape[COL_AXIS]
             cropped = Cropping2D(cropping=((offset[0], width - offset[0] - target_width), (offset[1], height - offset[1] - target_height)), name='{}'.format(name))(x)
             return cropped
         return f

demo/video_flip.py

@@ -1,5 +1,3 @@
-# Demo: (Video) -> (Image)
-
 import gradio as gr
 
 

demo/webcam.py

@@ -1,5 +1,3 @@
-# Demo: (Image) -> (Image)
-
 import gradio as gr
 import numpy as np
 

demo/zip_to_json.py

@@ -1,5 +1,3 @@
-# Demo: (File) -> (JSON)
-
 import gradio as gr
 from zipfile import ZipFile
 

demo/zip_two_files.py

@@ -1,5 +1,3 @@
-# Demo: (File, File) -> (File)
-
 import gradio as gr
 from zipfile import ZipFile
 

gradio.egg-info/PKG-INFO

@@ -1,4 +1,4 @@
-Metadata-Version: 1.0
+Metadata-Version: 2.1
 Name: gradio
 Version: 2.3.4
 Summary: Python library for easily interacting with trained machine learning models

gradio.egg-info/requires.txt

@@ -1,15 +1,15 @@
-Flask-Cors>=3.0.8
-Flask-Login
-Flask>=1.1.1
-analytics-python
-ffmpy
-flask-cachebuster
-markdown2
-matplotlib
 numpy
+scipy
+matplotlib
 pandas
-paramiko
 pillow
+ffmpy
+markdown2
 pycryptodome
 requests
-scipy
+paramiko
+analytics-python
+Flask>=1.1.1
+Flask-Cors>=3.0.8
+flask-cachebuster
+Flask-Login

gradio/inputs.py

@@ -82,6 +82,7 @@ class Textbox(InputComponent):
     """
     Component creates a textbox for user to enter input. Provides a string as an argument to the wrapped function.
     Input type: str
+    Demos: hello_world.py, diff_texts.py
     """
 
     def __init__(self, lines=1, placeholder=None, default="", numeric=False, type="str", label=None):
@@ -214,6 +215,7 @@ class Number(InputComponent):
     """
     Component creates a field for user to enter numeric input. Provides a nuber as an argument to the wrapped function.
     Input type: float
+    Demos: tax_calculator.py, titanic_survival.py
     """
 
     def __init__(self, default=None, label=None):
@@ -294,6 +296,7 @@ class Slider(InputComponent):
     """
     Component creates a slider that ranges from `minimum` to `maximum`. Provides a number as an argument to the wrapped function.
     Input type: float
+    Demos: sentence_builder.py, generate_tone.py, titanic_survival.py
     """
 
     def __init__(self, minimum=0, maximum=100, step=None, default=None, label=None):
@@ -367,6 +370,7 @@ class Checkbox(InputComponent):
     """
     Component creates a checkbox that can be set to `True` or `False`. Provides a boolean as an argument to the wrapped function.
     Input type: bool
+    Demos: sentence_builder.py, titanic_survival.py
     """
 
     def __init__(self, default=False, label=None):
@@ -427,6 +431,7 @@ class CheckboxGroup(InputComponent):
     """
     Component creates a set of checkboxes of which a subset can be selected. Provides a list of strings representing the selected choices as an argument to the wrapped function.
     Input type: Union[List[str], List[int]]
+    Demos: sentence_builder.py, titanic_survival.py, fraud_detector.py
     """
 
     def __init__(self, choices, default=[], type="value", label=None):
@@ -512,6 +517,7 @@ class Radio(InputComponent):
     """
     Component creates a set of radio buttons of which only one can be selected. Provides string representing selected choice as an argument to the wrapped function.
     Input type: Union[str, int]
+    Demos: sentence_builder.py, tax_calculator.py, titanic_survival.py
     """
 
     def __init__(self, choices, type="value", default=None, label=None):
@@ -576,6 +582,7 @@ class Dropdown(InputComponent):
     """
     Component creates a dropdown of which only one can be selected. Provides string representing selected choice as an argument to the wrapped function.
     Input type: Union[str, int]
+    Demos: sentence_builder.py, filter_records.py, titanic_survival.py
     """
 
     def __init__(self, choices, type="value", default=None, label=None):
@@ -640,6 +647,7 @@ class Image(InputComponent):
     """
     Component creates an image upload box with editing capabilities. 
     Input type: Union[numpy.array, PIL.Image, file-object]
+    Demos: image_classifier.py, image_mod.py, webcam.py, digit_classifier.py
     """
 
     def __init__(self, shape=None, image_mode='RGB', invert_colors=False, source="upload", tool="editor", type="numpy", label=None, optional=False):
@@ -820,6 +828,7 @@ class Video(InputComponent):
     """
     Component creates a video file upload that is converted to a file path.
     Input type: filepath
+    Demos: video_flip.py
     """
 
     def __init__(self, type="avi", label=None, optional=False):
@@ -873,6 +882,7 @@ class Audio(InputComponent):
     """
     Component accepts audio input files. 
     Input type: Union[Tuple[int, numpy.array], file-object, numpy.array]
+    Demos: main_note.py, reverse_audio.py, spectogram.py
     """
 
     def __init__(self, source="upload", type="numpy", label=None, optional=False):
@@ -1022,6 +1032,7 @@ class File(InputComponent):
     """
     Component accepts generic file uploads.
     Input type: Union[file-object, bytes, List[Union[file-object, bytes]]]
+    Demos: zip_to_json.py, zip_two_files.py
     """
 
     def __init__(self, file_count="single", type="file", label=None, keep_filename=True, optional=False):
@@ -1098,6 +1109,7 @@ class Dataframe(InputComponent):
     """
     Component accepts 2D input through a spreadsheet interface.
     Input type: Union[pandas.DataFrame, numpy.array, List[Union[str, float]], List[List[Union[str, float]]]]
+    Demos: filter_records.py, matrix_transpose.py, tax_calculator.py
     """
 
     def __init__(self, headers=None, row_count=3, col_count=3, datatype="str", col_width=None, default=None, type="pandas", label=None):
@@ -1178,6 +1190,7 @@ class Timeseries(InputComponent):
     """
     Component accepts pandas.DataFrame uploaded as a timeseries csv file.
     Input type: pandas.DataFrame
+    Demos: fraud_detector.py
     """
 
     def __init__(self, x=None, y=None, label=None):

gradio/outputs.py

@@ -36,6 +36,7 @@ class Textbox(OutputComponent):
     '''
     Component creates a textbox to render output text or number.
     Output type: Union[str, float, int]
+    Demos: hello_world.py, sentence_builder.py
     '''
 
     def __init__(self, type="auto", label=None):
@@ -73,6 +74,7 @@ class Label(OutputComponent):
     '''
     Component outputs a classification label, along with confidence scores of top categories if provided. Confidence scores are represented as a dictionary mapping labels to scores between 0 and 1.
     Output type: Union[Dict[str, float], str, int, float]
+    Demos: image_classifier.py, main_note.py, titanic_survival.py
     '''
 
     CONFIDENCES_KEY = "confidences"
@@ -138,6 +140,7 @@ class Image(OutputComponent):
     '''
     Component displays an output image. 
     Output type: Union[numpy.array, PIL.Image, str, matplotlib.pyplot, Tuple[Union[numpy.array, PIL.Image, str], List[Tuple[str, float, float, float, float]]]]
+    Demos: image_mod.py, webcam.py
     '''
 
     def __init__(self, type="auto", labeled_segments=False, plot=False, label=None):
@@ -206,6 +209,7 @@ class Video(OutputComponent):
     '''
     Used for video output.     
     Output type: filepath
+    Demos: video_flip.py
     '''
 
     def __init__(self, label=None):
@@ -235,6 +239,7 @@ class KeyValues(OutputComponent):
     '''
     Component displays a table representing values for multiple fields. 
     Output type: Union[Dict, List[Tuple[str, Union[str, int, float]]]]
+    Demos: text_analysis.py
     '''
 
     def __init__(self, label=None):
@@ -271,6 +276,7 @@ class HighlightedText(OutputComponent):
     Component creates text that contains spans that are highlighted by category or numerical value.
     Output is represent as a list of Tuple pairs, where the first element represents the span of text represented by the tuple, and the second element represents the category or value of the text.
     Output type: List[Tuple[str, Union[float, str]]]
+    Demos: diff_texts.py, text_analysis.py
     '''
 
     def __init__(self, color_map=None, label=None):
@@ -308,6 +314,7 @@ class Audio(OutputComponent):
     '''
     Creates an audio player that plays the output audio.
     Output type: Union[Tuple[int, numpy.array], str]
+    Demos: generate_tone.py, reverse_audio.py
     '''
 
     def __init__(self, type="auto", label=None):
@@ -351,6 +358,7 @@ class JSON(OutputComponent):
     '''
     Used for JSON output. Expects a JSON string or a Python object that is JSON serializable. 
     Output type: Union[str, Any]
+    Demos: zip_to_json.py
     '''
 
     def __init__(self, label=None):
@@ -384,6 +392,7 @@ class HTML(OutputComponent):
     '''
     Used for HTML output. Expects an HTML valid string. 
     Output type: str
+    Demos: text_analysis.py
     '''
 
     def __init__(self, label=None):
@@ -405,6 +414,7 @@ class File(OutputComponent):
     '''
     Used for file output.     
     Output type: Union[file-like, str]
+    Demos: zip_two_files.py
     '''
 
     def __init__(self, label=None):
@@ -439,6 +449,7 @@ class Dataframe(OutputComponent):
     """
     Component displays 2D output through a spreadsheet interface.
     Output type: Union[pandas.DataFrame, numpy.array, List[Union[str, float]], List[List[Union[str, float]]]]
+    Demos: filter_records.py, matrix_transpose.py, fraud_detector.py
     """
 
     def __init__(self, headers=None, max_rows=20, max_cols=None, overflow_row_behaviour="paginate", type="auto", label=None):
@@ -512,6 +523,7 @@ class Carousel(OutputComponent):
     """
     Component displays a set of output components that can be scrolled through.
     Output type: List[List[Any]]
+    Demos: disease_report.py
     """
 
     def __init__(self, components, label=None):
@@ -571,6 +583,7 @@ class Timeseries(OutputComponent):
     """
     Component accepts pandas.DataFrame.
     Output type: pandas.DataFrame
+    Demos: fraud_detector.py
     """
 
     def __init__(self, x=None, y=None, label=None):