Running, testing, and fixing demos

demo/blocks_neural_instrument_coding/run.py

@@ -1,7 +1,7 @@
 # A Blocks implementation of https://erlj.notion.site/Neural-Instrument-Cloning-from-very-few-samples-2cf41d8b630842ee8c7eb55036a1bfd6
-# Needs to be run from the demo\blocks_neural_instrument_coding folder
 
 import datetime
+import os
 import random
 
 import gradio as gr
@@ -22,7 +22,7 @@ def reconstruct(audio):
 
 
 io1 = gr.Interface(
-    lambda x, y, z: "sax.wav",
+    lambda x, y, z: os.path.join(os.path.dirname(__file__),"sax.wav"),
     [
         gr.Slider(label="pitch"),
         gr.Slider(label="loudness"),
@@ -32,7 +32,7 @@ def reconstruct(audio):
 )
 
 io2 = gr.Interface(
-    lambda x, y, z: "flute.wav",
+    lambda x, y, z: os.path.join(os.path.dirname(__file__),"flute.wav"),
     [
         gr.Slider(label="pitch"),
         gr.Slider(label="loudness"),
@@ -42,7 +42,7 @@ def reconstruct(audio):
 )
 
 io3 = gr.Interface(
-    lambda x, y, z: "trombone.wav",
+    lambda x, y, z: os.path.join(os.path.dirname(__file__),"trombone.wav"),
     [
         gr.Slider(label="pitch"),
         gr.Slider(label="loudness"),
@@ -52,7 +52,7 @@ def reconstruct(audio):
 )
 
 io4 = gr.Interface(
-    lambda x, y, z: "sax2.wav",
+    lambda x, y, z: os.path.join(os.path.dirname(__file__),"sax2.wav"),
     [
         gr.Slider(label="pitch"),
         gr.Slider(label="loudness"),
@@ -82,14 +82,14 @@ def reconstruct(audio):
     Here are some **real** 16 second saxophone recordings:
     """
     )
-    gr.Audio("sax.wav", label="Here is a real 16 second saxophone recording:")
-    gr.Audio("sax.wav")
+    gr.Audio(os.path.join(os.path.dirname(__file__),"sax.wav"), label="Here is a real 16 second saxophone recording:")
+    gr.Audio(os.path.join(os.path.dirname(__file__),"sax.wav"))
 
     m(
         """\n
         Here is a **generated** saxophone recordings:"""
     )
-    a = gr.Audio("new-sax.wav")
+    a = gr.Audio(os.path.join(os.path.dirname(__file__),"new-sax.wav"))
 
     gr.Button("Generate a new saxophone recording")
 

demo/gender_sentence_custom_interpretation/run.py

@@ -33,7 +33,7 @@ def interpret_gender(sentence):
 
 demo = gr.Interface(
     fn=gender_of_sentence,
-    inputs=gr.Textbox(default="She went to his house to get her keys."),
+    inputs=gr.Textbox(default_value="She went to his house to get her keys."),
     outputs="label",
     interpretation=interpret_gender,
 )

demo/gender_sentence_default_interpretation/run.py

@@ -14,7 +14,7 @@ def gender_of_sentence(sentence):
 
 demo = gr.Interface(
     fn=gender_of_sentence,
-    inputs=gr.Textbox(default="She went to his house to get her keys."),
+    inputs=gr.Textbox(default_value="She went to his house to get her keys."),
     outputs="label",
     interpretation="default",
 )

demo/image_classifier/run.py

@@ -1,3 +1,4 @@
+import os
 import requests
 import tensorflow as tf
 
@@ -23,7 +24,9 @@ def classify_image(inp):
 gr.Interface(
     fn=classify_image,
     inputs=image,
-    outputs="image",
-    examples=[["images/cheetah1.jpg"], ["images/lion.jpg"]],
-    cache_examples=True,
-).launch()
+    outputs=label,
+    examples=[
+        os.path.join(os.path.dirname(__file__), "images/cheetah1.jpg"),
+        os.path.join(os.path.dirname(__file__), "images/lion.jpg")
+        ]
+    ).launch()

demo/random_demos.py

@@ -26,8 +26,6 @@
 # Some demos are just too large or need to be run in a special way, so we'll just skip them
 demos_list.remove('streaming_wav2vec')
 demos_list.remove('blocks_neural_instrument_coding')
-demos_list.remove('reverse_audio')
-demos_list.remove('image_classifier')
 demos_list.remove('flagged')
 
 for d, demo_name in enumerate(random.sample(demos_list, args.num_demos)):

demo/reverse_audio/run.py

@@ -1,3 +1,5 @@
+import os
+
 import numpy as np
 
 import gradio as gr
@@ -8,7 +10,10 @@ def reverse_audio(audio):
     return (sr, np.flipud(data))
 
 
-demo = gr.Interface(reverse_audio, "microphone", "audio", examples="audio")
+demo = gr.Interface(fn=reverse_audio, 
+                    inputs="microphone", 
+                    outputs="audio", 
+                    examples=os.path.join(os.path.dirname(__file__), "audio"))
 
 if __name__ == "__main__":
     demo.launch()

demo/sentiment_analysis/run.py

@@ -13,7 +13,11 @@ def sentiment_analysis(text):
     return scores
 
 
-demo = gr.Interface(sentiment_analysis, "textbox", "label", interpretation="default")
+demo = gr.Interface(
+    sentiment_analysis, 
+    gr.Textbox(placeholder="Enter a positive or negative sentence here..."), 
+    "label", 
+    interpretation="default")
 
 if __name__ == "__main__":
     demo.launch()

gradio/templates/frontend/index.html

@@ -55,7 +55,7 @@
 		</script>
 		<script src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.1/iframeResizer.contentWindow.min.js"></script>
 		<title>Gradio</title>
-		<script type="module" crossorigin src="./assets/index.bbdd6a1e.js"></script>
+		<script type="module" crossorigin src="./assets/index.c7216004.js"></script>
 		<link rel="stylesheet" href="./assets/index.f12b3b15.css">
 	</head>