include demos as documentation

demo/diff_texts.py

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

demo/digit_classifier.py

@@ -1,3 +1,5 @@
+# Demo: (Image) -> (Label)
+
 import tensorflow as tf
 import gradio
 import os
@@ -16,7 +18,7 @@ def recognize_digit(image):
 
 gr.Interface(
     recognize_digit, 
-    gradio.inputs.Image(shape=(28, 28), image_mode="L", source="canvas"), 
+    "sketchpad", 
     gradio.outputs.Label(num_top_classes=3),
     live=True,
     capture_session=True,

demo/filter_records.py

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

demo/generate_tone.py

@@ -1,3 +1,5 @@
+# Demo: (Dropdown, Slider, Textbox) -> (Audio)
+
 import gradio as gr
 import numpy as np
 import random
@@ -8,6 +10,7 @@ def generate_tone(note, octave, duration):
     sr = 48000
     a4_freq, tones_from_a4 = 440, 12 * (octave - 4) + (note - 9)
     frequency = a4_freq * 2 ** (tones_from_a4 / 12)
+    duration = int(duration)
     audio = np.linspace(0, duration, duration * sr)
     audio = (20000 * np.sin(audio * (2 * np.pi * frequency))).astype(np.int16)
     return (sr, audio)

demo/image_mod.py

@@ -1,18 +1,17 @@
+# Demo: (Image) -> (Image)
+
 import gradio as gr
 from time import time
-from PIL import Image, ImageFilter
+from PIL import Image
 
 
 def image_mod(image):
-    return image.rotate(45), image.filter(ImageFilter.FIND_EDGES)
+    return image.rotate(45)
 
 
 gr.Interface(image_mod, 
              gr.inputs.Image(type="pil"), 
-             [
-                gr.outputs.Image(type="pil"), 
-                gr.outputs.Image(type="pil"), 
-             ],
+             gr.outputs.Image(type="pil"), 
              examples=[
                  ["images/cheetah1.jpg"],
                  ["images/cheetah2.jpg"],

demo/matrix_transpose.py

@@ -1,9 +1,10 @@
+# Demo: (Dataframe) -> (Dataframe)
+
 import gradio as gr
 import numpy as np
 import random
 
 def transpose(matrix):
-    print(matrix)
     return matrix.T
 
 gr.Interface(transpose, 

demo/reverse_audio.py

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

demo/sentence_builder.py

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

demo/spectogram.py

@@ -1,3 +1,5 @@
+# Demo: (Audio) -> (Image)
+
 import gradio as gr
 import matplotlib.pyplot as plt
 import numpy as np
@@ -5,13 +7,12 @@ from scipy import signal
 from scipy.io import wavfile
 
 
-def reverse_audio(audio):
+def spectrogram(audio):
     sr, data = audio
     data = np.delete(data, 1, 1).reshape(-1)
-    frequencies, times, spectrogram = signal.spectrogram(data.reshape(-1), sr, window="hamming")
-
-    plt.pcolormesh(times, frequencies, np.log10(spectrogram))
+    frequencies, times, spectrogram_data = signal.spectrogram(data.reshape(-1), sr, window="hamming")
+    plt.pcolormesh(times, frequencies, np.log10(spectrogram_data))
     return plt
 
 
-gr.Interface(reverse_audio, "audio", "plot").launch()
+gr.Interface(spectrogram, "audio", "plot").launch()

demo/stock_forecast.py

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

demo/text_analysis.py

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